Patent Application
20230360424
This invention relates generally to the flight parameter measurement field, and more specifically to a new and useful method for airspeed measurement in the flight parameter measurement field.
Airspeed is one of the most important parameters that an aircraft operator (e.g., pilot) uses to control an aircraft and understand its performance in flight. Failure to accurately indicate the airspeed of an aircraft can lead to improper control inputs being provided by an aircraft operator, component damage, and/or unplanned (e.g., undesirable) loss of vehicle control and/or the vehicle itself.
Thus, there is a need in the inflight diagnostics field to create a new and useful method for airspeed determination. This invention provides such a new and useful method.
The following description of preferred embodiments of the invention is not intended to limit the invention to these preferred embodiments, but rather to enable any person skilled in the art to make and use this invention.
As shown in
The method functions to determine the airspeed of an aircraft during forward motion through the air. The airspeed is preferably defined as the speed of the freestream relative to the aircraft during flight, but can additionally or alternatively be otherwise suitably defined. The method can also function to determine a model of rotor performance (e.g., a rotor model) to utilize in determining the airspeed (e.g., among a plurality of models, based on historical data, in real-time, etc.). The method can also function to provide one of a plurality of independently-derived airspeed measurements to an aircraft operator (e.g., pilot, autopilot, autonomous agent, remote control system, etc.). However, the method 100 can additionally or alternatively have any other suitable function.
As shown in
The system 200 functions to determine the airspeed of an aircraft (e.g., an aircraft utilizing a variation of the system 200 for propulsion). The system 200 can also function to propel an aircraft (e.g., by providing thrust via rotary aerodynamic propulsion, simultaneously with providing an airspeed measurement or independently of providing an airspeed measurement). The system 200 can also function to provide state feedback from which rotor operating parameters can be determined (e.g., in accordance with one or more variations of Block S200 of the method 100).
The method 100 is preferably implemented by a system 200 or a substantially similar system; however, the method 100 can additionally or alternatively be implemented or executed at any other suitable system. The method can be implemented by, in conjunction with, or otherwise in association with various related systems. In particular, the method is preferably implemented at an aircraft 900, wherein one or more rotor assemblies 210 are attached to the aircraft 900 to act as a propulsion system. The aircraft is preferably electric, and accordingly each of the one or more rotor assemblies preferably includes an electric motor (e.g., wherein the drive mechanism includes an electric motor) and a rotor. However, in alternative variations, the aircraft can be powered and/or driven by any other suitable drive mechanism or powertrain (e.g., a non-electric powertrain and/or drive mechanism). The rotor of the rotor assembly functions to provide propulsive force to the aircraft (e.g., under actuation by a torque provided by the drive mechanism).
The rotor can have any suitable number of blades; the rotor preferably has five blades, but can alternatively have three blades, four blades, six blades, and any other suitable number of blades. The blades can be: rigidly fixed to a hub (e.g., as a fixed-pitch propeller); coupled to a hub and including variable pitch capability (e.g., by way of a suitable variable pitch linkage, cyclic pitch control, etc.), and/or connected to a hub or rotor head by one or more hinges (e.g., a drag hinge, a flap hinge, etc.) to enable blades to lead, lag, and/or flap relative to the hub or rotor head during rotation of the rotor under aerodynamic loading. However, the blades can be otherwise suitably coupled to one another and/or otherwise suitably mechanically linked to form at least a portion of the rotor. In a specific example, the rotor includes five variable-pitch blades, wherein the blade pitch angle β is controllable by a system controller.
The term “rotor” as utilized herein can refer to a rotor, a propeller, and/or any other suitable rotary aerodynamic actuator. While a rotor can refer to a rotary aerodynamic actuator that makes use of an articulated or semi-rigid hub (e.g., wherein the connection of the blades to the hub can be articulated, flexible, rigid, and/or otherwise connected), and a propeller can refer to a rotary aerodynamic actuator that makes use of a rigid hub (e.g., wherein the connection of the blades to the hub can be articulated, flexible, rigid, and/or otherwise connected), no such distinction is explicit or implied when used herein, and the usage of “rotor” can refer to either configuration, and any other suitable configuration of articulated or rigid blades, and/or any other suitable configuration of blade connections to a central member or hub. Likewise, the usage of “propeller” can refer to either configuration, and any other suitable configuration of articulated or rigid blades, and/or any other suitable configuration of blade connections to a central member or hub. Accordingly, the tiltrotor aircraft can be referred to as a tilt-propeller aircraft, a tilt-prop aircraft, and/or otherwise suitably referred to or described.
The aircraft is preferably a tiltrotor aircraft with a plurality of rotor assemblies, operable between a forward arrangement and a hover arrangement. However, the aircraft can alternatively be a fixed wing aircraft with one or more rotor assemblies, a helicopter with one or more rotor assemblies, and/or any other suitable aircraft or vehicle propelled by rotors. The method 100 is preferably implemented using a rotor arranged with a non-zero forward tilt (e.g., wherein the thrust vector generated by the rotor during operation has at least a non-zero horizontal component); however, in variations, the method 100 can be implemented utilizing any suitable rotor or plurality of rotors in any suitable arrangement or orientation. The aircraft preferably includes an all-electric powertrain (e.g., battery powered electric motors) to drive the one or more rotor assemblies, but can additionally or alternatively include a hybrid powertrain (e.g., a gas-electric hybrid including an internal-combustion generator), an internal-combustion powertrain (e.g., including a gas-turbine engine, a turboprop engine, etc.), and any other suitable powertrain.
In a specific example of the system implemented in conjunction with an aircraft, as shown in
However, the method 100 and system 200 can additionally or alternatively be utilized in conjunction with any other suitable related systems.
As shown in
In some variations (e.g., wherein the system is used in conjunction with a tiltrotor aircraft), the rotor assembly can be configurable between a forward configuration and a hover configuration. Thus, as shown in
The system and method and variations thereof can afford several benefits and/or advantages.
First, variations of the system and/or method can enable an aircraft to accurately measure its airspeed in conditions that may reduce or negate the effectiveness of conventional airspeed measurement techniques. For example, under certain environmental conditions, ice can form on or around pitot tube inlets and prevent accurate pressure transduction; this can cause an aircraft operator to provide inaccurate control inputs (e.g., control inputs based on an inaccurate airspeed indication) that can in turn lead to adverse events (e.g., stall, crash, loss of stability, loss of efficiency, etc.). The system and method are typically not susceptible to such environmental conditions, because in any situation in which the aircraft is actively operated (e.g., during powered flight) one or more rotor assemblies are necessarily functional, and thus the airspeed can often be inferred in accordance with one or more variations of the system and/or method.
Second, variations of the system and/or method can provide a redundant airspeed measurement to aircraft equipped with alternative means of airspeed measurement and indication. In such variations, the system and/or method can be the primary means of airspeed determination or a secondary means of airspeed determination. For example, the method can be used to determine the airspeed displayed to an operator (e.g., a pilot, an autonomous vehicle control system, a teleoperator, etc.) until and/or unless a trigger condition is reached (e.g., disagreement between the airspeed determined via the method and via an alternative means increases above a threshold disagreement value), at or around which point the alternative mechanism can be employed (e.g., in addition to the method, in lieu of the method, etc.), or vice versa (e.g., wherein a conventional means is used until environmental conditions rendering the conventional means unsafe or unusable are determined, and one or more variations of the method is used in addition to the conventional means, in lieu of the conventional means, etc.). In another example, an operator can utilize a plurality of means of airspeed determination (e.g., simultaneously, in a selectable manner among the plurality, etc.) that includes variations of the system and/or method as well as alternative means. In further examples, sensor fusion techniques can be used (e.g., Kalman filtering), incorporating the inverted rotor model as an airspeed as a “sensor” input, to determine the correct airspeed and/or reject misleading sensor data (e.g., from a malfunctioning conventional airspeed sensor). Redundant airspeed indication systems can improve aircraft safety, operator performance and/or confidence, and other suitable aspects of aircraft operation.
Third, variations of the system and/or method can remove the need for alternative mechanisms of airspeed measurement and indication. For example, implementations of the system and/or method can enable a pitot tube network or other alternative direct airspeed measurement system to be removed from an aircraft, which can reduce aircraft weight, improve aerodynamic performance (e.g., by elimination of drag-producing features associated with the alternative mechanism), reduce complexity of aircraft system, and provide any other suitable benefits of component reduction in an engineering system.
Fourth, variations of the system and/or method can leverage the use of an electric drive train (e.g., an electric motor directly driving the rotor) to provide accurate torque output information (e.g., shaft power output of the electric motor as a function of input electrical power) without measuring the torque directly (e.g., using a specific sensor coupled to the drive mechanism intended to monitor the power output). Accurate knowledge of the torque is utilized in one or more variations of the method 100, and can be difficult to obtain without dedicated measurement apparatuses when using alternative propulsion systems (e.g., gas turbine propulsion, reciprocating internal combustion driven propulsion, etc.) due to the complex mechanical power transfer associated therewith. In addition, variations of the system and method can include using electrical actuators to control all aspects of rotor operation (e.g., blade pitch angle as a function of time, tilt angle as a function of time, etc.), which can enable the operating parameters to be determined as a direct function of the control inputs (e.g., voltage input to a servo motor, signal input to a tilt mechanism, etc.) instead of via direct or indirect measurement.
However, the system, method, and variations thereof can additionally or alternatively afford any other suitable benefits and/or advantages.
As shown in
The method functions to determine the airspeed of an aircraft during forward motion through the air. The airspeed is preferably defined as the speed of the freestream relative to the aircraft during flight, but can additionally or alternatively be otherwise suitably defined. The method can also function to determine a model of rotor performance (e.g., a rotor model) to utilize in determining the airspeed (e.g., among a plurality of models, based on historical data, in real-time, etc.). The method can also function to provide one of a plurality of independently-derived airspeed measurements to an aircraft operator (e.g., pilot, autopilot, remote control system, etc.). However, the method 100 can additionally or alternatively have any other suitable function.
Block S100 includes determining a rotor model. Block S100 functions to obtain a mathematical relationship between the performance of the rotor of the aircraft under various operating conditions and the associated airspeed of the aircraft, for use in calculating the airspeed of the aircraft during operation based on rotor operating parameters (e.g., in accordance with one or more variations of Block S200, S300, etc.). In some variations, the model can directly relate the rotor operating performance and characteristics to the airspeed; in additional or alternative variations, the model can relate the rotor operating performance to a secondary parameter of the airflow proximal the rotor (e.g., the axial inflow velocity, the flowfield around the rotor acting as a lifting body, etc.) that enables the airspeed to be estimated based on the secondary parameter of the airflow (e.g., geometrically). However, the model can be otherwise suitably defined such that the operating characteristics of the rotor are related to the airspeed of the vehicle.
The model f is preferably of the form:
f:(M,β,ω)→{tilde over (v)}
where M is the shaft torque (e.g., applied to the rotor, rotor shaft torque, output torque of the electric motor, etc.), β is the blade pitch angle as described above, ω is the rotor angular velocity as described above, and {tilde over (v)} is the estimate of the axial inflow velocity (e.g., into the propeller, into the rotor, etc.). In some cases (e.g., wherein the rotor is lightly loaded), the axial inflow velocity can be taken to be equal to the component of the freestream velocity aligned with the rotor axis. In additional or alternative examples (e.g., wherein the rotor is substantially loaded), the axial inflow velocity can include a component of self-induced inflow (e.g., induced via momentum exchange between the rotor and the flow during operation), and the model can include a corrective term to account for the self-induced inflow in computing the freestream velocity (e.g., and the airspeed pursuant to the freestream velocity). The model can additionally or alternatively be of the form described above and include additional model parameters, including air density ρ and/or the sound speed α=√{square root over (γRairT)}.
The blade pitch used in the model is preferably measured at the μR station along the span of the blade, wherein μ is the fraction between 0 and 1 along the rotor radius R (e.g., span of the blade from the hub or other central member); however, the blade pitch can additionally or alternatively be otherwise measured or determined (e.g., as an average of the pitch at multiple stations along the span, span-wise to determine a mapping as a function of span position, etc.). In some variations, the blade pitch angle is a function of the station; in alternative variations, the blade pitch angle is constant (e.g., identical) at each station. In a specific example, the blade pitch used in the model is defined at μ=0.75; however, in related examples, the blade pitch can additionally or alternatively be taken as the angle at any other suitable station along the span.
Block S100 can include determining a model for the coefficient of power (e.g., power coefficient, Cp, etc.) of the rotor, which is a function of the axial advance ratio λ and the blade pitch angle β. Given a numerical value for Cp, the shaft torque M can be expressed as:
M=C
p(λ,β)ρπω2R5
where ρ is the air density (e.g., predetermined as a function of measurable thermodynamic state variables such as temperature, barometric pressure, etc.), and the axial advance ratio λ is a non-dimensional parameter defined as the ratio between the estimated axial inflow velocity V and the linear speed of the blade ωR, i.e.:
Thus, determining a model for the power coefficient functions to provide an expression that can be evaluated (e.g., in subsequent Blocks of the method 100) based on known control inputs (e.g., shaft torque, RPM value, blade pitch angle, etc., determined in Block S200) to derive the axial inflow velocity, which can be used to determine the freestream velocity and thereby the airspeed of the aircraft (e.g., in Block S300).
In a first variation, Block S100 includes determining a linearized power coefficient model (e.g., a linearized model). The linearized model is preferably utilized (e.g., during vehicle operation) in cases wherein the rotor slipstream velocity is less than the axial inflow velocity. However, the linearized model can additionally or alternatively be used in any other suitable cases and/or conditions (e.g., wherein the axial inflow velocity and the rotor slipstream velocity are approximately equal, wherein the axial inflow velocity is less than the rotor slipstream velocity, etc.). The linearized model is preferably a linearization of an exact non-linear geometrically-derived model of Cp, but can additionally or alternatively be a linearization of any suitable non-linear model of Cp.
In the linearized model, it is preferably assumed that the loading (e.g., disc loading, aerodynamic loading, etc.) is applied entirely at the μR station of the blade. However, in additional or alternative variations of the linearized model, the loading can be assumed to act on the blade at any suitable location and/or with any other suitable spatial distribution.
In a specific example of the linearized model, the linearized axial advance ratio is expressed as:
wherein the power coefficient is defined as
and λ0 represents the advance ratio corresponding to a freely spinning (e.g., zero loading) condition and is determined via the expression:
λ0=μ tan(β−α0),
wherein β is the chosen pitch angle and α0 is the zero-lift angle of the airfoil defined by the blade geometry at the μR station (e.g., as shown in
{tilde over (v)}=ωR{tilde over (λ)}.
In the aforementioned expressions, the rotor solidity σ (e.g., the ratio of the total area of the rotor blades to the swept area of the rotor) and zero-lift angle α0 are geometric parameters of the rotor and blades thereof; in a specific example, the parameter values corresponding to the rotor of the aircraft are σ=0.15 and α0=−2°, but can additionally or alternatively have any suitable values corresponding to any suitable geometry (e.g., of the rotor or propeller, of the blades, etc.).
As shown in
In another variation of Block S100, the rotor model can be determined from a computational fluid dynamic (CFD) simulation of the rotor. In this variation, the rotor operating parameters are simulated (e.g., rotor geometry, input moments and torques, adjusted blade pitch angles, angles between the disc plane and the freestream direction, etc.) and the resulting axial inflow velocity is computed as a direct result of the simulation. Various CFD techniques can be used in this variation, including: computer aided design (CAD) geometry generation, discretization of the geometry into any suitable mesh (e.g., uniform, non-uniform, structured, unstructured, using any suitable combination of hexahedral, tetrahedral, prismatic, pyramidal, and/or otherwise polyhedral elements, etc.), discretization of the governing equations according to any suitable scheme (e.g., finite volume, finite element, finite difference, spectral elements, boundary elements, high resolution schemes to capture shocks and other discontinuities, flux limiting schemes, etc.), utilization of any suitable boundary conditions (e.g., physical boundary conditions such as inflow, outflow, porous surface, moving surface, static surface, etc.; temporal boundary conditions such as initial conditions; etc.), various implemented physical models (e.g., equations of fluid motion such as the full Navier-Stokes equations, simplified Navier-Stokes, potential flow, etc.; turbulence models such as Reynolds-averaged Navier-Stokes, species conservation, enthalpy conservation, radiation models, etc.), and any other suitable CFD techniques and related physical simulation techniques. In this variation of Block S100, the CFD simulation preferably produces a parameterization of the axial inflow velocity in terms of measurable and/or controllable operating parameters (e.g., shaft torque, blade pitch angle, rotor RPM, tilt angle, etc.); however, the CFD simulation can additionally or alternatively produce any other suitable output model that can be evaluated to determine the axial inflow velocity and/or associated airspeed.
In another variation, Block S100 can include determining the rotor model by manual calibration. Manual calibration can include operating the rotor assembly across a parameter space of operating parameters (e.g., a range of blade pitch angles, shaft powers, tilt angles, etc.) and measuring the output (e.g., axial inflow velocity, slipstream flow velocity, aircraft airspeed, freestream velocity, etc.) to generate a rotor model that relates the operating parameters and output. Manual calibration can be performed during aircraft flight (e.g., using an auxiliary airspeed indicator or measurement device to measure the output), on the ground (e.g., in a wind tunnel), and/or in any other suitable manner.
In another variation, Block S100 can include determining a lifting body model of the rotor. In this variation, the rotor model can relate the axial inflow velocity (e.g., and/or airspeed, directly) to the lift force generated by the rotor due to the rotor acting as a lifting body (e.g., an airfoil) as compared to the thrust supplied by the rotor (e.g., as shown in
However, Block S100 can additionally or alternatively include determining the rotor model in any suitable manner.
Block S200 includes determining the operating parameters of the rotor assembly. Block S200 functions to obtain the inputs (e.g., operating parameters) for the rotor model (e.g., as determined in accordance with one or more variations of Block S100), such that the airspeed can be calculated using the model (e.g., in accordance with one or more variations of Block S300). Block S200 preferably includes determining, for at least one rotor assembly of the aircraft, a set of operating parameters including: the blade pitch angle of each blade of the rotor, the tilt angle of the rotor assembly, the shaft torque applied to the rotor via the drive mechanism of the rotor assembly, and the instantaneous RPM of the rotor. The set of operating parameters can optionally include: the air density, other thermodynamic parameters of the air from which air density can be computed (e.g., using a table of thermodynamic variables including two or more of total pressure, static pressure, density, temperature, specific volume, vapor fraction, etc.), power efficiency of the rotor assembly (e.g., temperature dependent efficiency, electric motor power efficiency, direct drive gearbox efficiency, etc.), time-dependent thermal properties of the rotor assembly (e.g., temperature of various rotor assembly components), and any other suitable operating parameters related to the rotor and/or rotor assembly operation (e.g., rotor operating parameters).
In relation to Block S200, each of the operating parameters is preferably determined based on the control input provided to the rotor assembly (e.g., by a pilot, automatically provided by a control system, etc.) without active sensing (e.g., without a dedicated sensor or transducer that independently measures the operating parameter); however, the operating parameters can additionally or alternatively be determined via active sensing or otherwise suitably determined. In some variations, Block S200 can include determining the operating parameter based on actuator feedback (e.g., back-EMF from an electronic servomotor, a signal from a feedback control loop that controls an actuator, etc.). In additional or alternative variations, the operating parameter can be determined via direct sensing (e.g., of actual versus commanded actuator state), indirect sensing (e.g., sensing of related actuators that do not directly actuate the propeller state), and/or otherwise suitably determined.
In relation to Block S200, each of the operating parameters preferably corresponds to an electronic actuator (e.g., an electric motor, an electric servomotor, a stepper motor, etc.), and thus each operating parameter can be determined via sampling the electronic control signal and/or power signal associated with the actuator; for example, the rotor RPM and shaft torque can be directly related to the input power to the electric motor (e.g., that directly drives the rotor), and thus determining the rotor RPM and shaft torque can include determining the input electrical power to the electric motor driving the rotor assembly (e.g., computing the rotor RPM and/or shaft torque via a predetermined calibration curve in terms of the input power, voltage, current, etc.; utilizing a predetermined or otherwise known I-V curve of the motor; utilizing a functional relationship between input electrical power and the output torque and RPM, such as I*V=η(τ*ω), wherein I is the electrical current, V is the voltage, η is the overall efficiency, τ is the torque, and a is the angular frequency; otherwise suitably calculating the RPM and/or shaft torque; etc.). Thus, the method can enable the omission of duplicate signals that encode the operating parameters (e.g., from transducers that may otherwise be required). In some variations, forces and/or moments on the aircraft can be measured by sampling control inputs and/or sensing the state of other actuators (e.g., tilt actuators that transition the propulsion assemblies from forward to hover configurations, actuators that adjust the position of control surfaces of the aircraft, etc.). However, in variations wherein some operating parameters do not correspond to an associated electronic actuator, the operating parameters can be otherwise suitably determined (e.g., via indirect inference).
In relation to Block S200, the set of rotor operating parameters is preferably determined substantially continuously during flight. In variations wherein Block S200 includes sampling operating parameters from control signals, the operating parameters can be determined directly from analog control signals, sampled from digital control signals at any suitable frequency (e.g., at a continuous sampling rate about 100 Hz, between 1-10 Hz, any other suitable frequency, etc.), sampled from digital monitor outputs (e.g., an I/O port of a computing system), and/or otherwise suitably sampled, or determined. However, in additional or alternative variations, Block S200 can be performed in real-time, substantially real time, according to a schedule (e.g., associated with various portions of a flight, associated with various times of day, etc.), in response to a trigger event (e.g., failure of an auxiliary airspeed measurement mechanism), and/or otherwise suitably performed with any other suitable temporal characteristics.
Block S300 includes computing an airspeed based on the set of rotor operating parameters (e.g., as determined in Block S200 and/or a variation thereof) in combination with the rotor model (e.g., as determined in Block S100 and/or a variation thereof). Block S300 functions to transform the set of operating parameters into an airspeed of the aircraft, according to the rotor model. Block S300 can also function to validate the airspeed computation.
In a variation, Block S300 includes computing the airspeed of the aircraft based on the set of rotor operating parameters including the blade pitch angle, the shaft torque output by the electric motor, and the rotation rate (e.g., RPM) of the rotor, by evaluating the linearized model using the set of rotor operating parameters as inputs. In this variation, the axial inflow velocity determined as an output of the rotor model is assumed to equal the airspeed. However, in alternative variations, Block S300 can include correcting the airspeed computation (e.g., by applying a correction factor to account for the slipstream velocity and/or any other suitable non-idealities that may affect the assumptions of the linearized model).
In a related variation, Block S300 includes computing the airspeed of the aircraft based on the set of rotor operating parameters including the tilt angle. In this variation, as shown in
In another variation, Block S300 can include computing the airspeed based on the operating parameters corresponding to a plurality of rotor assemblies. For example, Block S300 can include averaging the axial inflow velocities computed in conjunction with two or more rotors of the aircraft, and determining the airspeed based on the averaged axial inflow velocity (e.g., wherein the airspeed is assumed to be equal to the average axial inflow velocity, equal to the average axial inflow velocity multiplied by a cosine factor corresponding to each rotor assembly's tilt angle, etc.). In this example and related examples, the rotors can all be tilted at the same angle (e.g., all tilted into the forward arrangement as shown in
In a related variation, Block S300 can include determining a weight factor associated with each of a plurality of airspeeds computed in conjunction with a plurality of rotors. The weight factor can be based on an error associated with the tilt angle of each rotor, wherein the tilt angles may be different. For example, as shown in
Block S300 is preferably performed in substantially real time during flight, but can additionally or alternatively be performed periodically (e.g., at the same frequency as the determination of the rotor operating parameters, with any suitable frequency, etc.), asynchronously, in response to a trigger (e.g., failure of an auxiliary airspeed indicator or measurement system, anomalous control feedback triggers a sanity check, detection of icing conditions, etc.), and/or with any other suitable temporal characteristics.
The method 100 can optionally include Block S350, which includes computing forces and/or moments on the aircraft based on the set of rotor operating parameters in combination with the rotor model. In some variations, forces and/or moments can be computed based on the thrust acting upon the aircraft as determined using the rotor model (e.g., model of the power coefficient of the one or more rotors as a function of rotor operating parameters substantially as described above). In additional or alternative variations, forces and/or moments can be computed based on the lift acting upon the aircraft as determined using the rotor model (e.g., wherein the rotor is modeled as a lifting body, and the lift force on the aircraft from the one or more rotors is determined). However, the forces and/or moments on the aircraft can be otherwise suitably computed based on the determined state(s) of the rotors of the aircraft.
The method 100 can optionally include Block S400, which includes validating the computed airspeed. The computed airspeed is preferably a result of other portions of the method 100 (e.g., Block S300), but can be otherwise suitably obtained. Validating the computed airspeed can include comparing the airspeed determined via the inverted rotor model to the airspeed determined or measured via another technique and/or in association with another of a plurality of rotors. Validating the computed airspeed can include incorporating the computed airspeed into a sensor fusion process and assessing the reliability of the computed airspeed. However, Block S400 can additionally or alternatively include otherwise suitably validating the computed airspeed.
In a first variation, Block S400 can include measuring the airspeed of the aircraft using an auxiliary airspeed measurement device (e.g., pitot probe, air data boom, etc.), and comparing the airspeed measured via the auxiliary device with the computed airspeed (e.g., via Block S300) to validate one or the other of the two measurements. In some cases (e.g., operating conditions, flight conditions, scenarios, etc.), the confidence level in the computed airspeed based on the rotor model may be higher than the confidence in the alternatively-measured airspeed, and thus the airspeed computed based on the rotor model can be used to validate that the auxiliary airspeed measurement device is functioning properly. In other cases, the confidence level in the alternatively-measured airspeed may be higher than the confidence in the airspeed computed based on the rotor model, and thus the alternatively-computed airspeed can be used to validate that the rotor-model-based airspeed computation is functioning properly. In examples of this variation, the confidence level can be expressed quantitatively by a confidence metric. In such examples, Block S400 can include determining a confidence metric associated with each determined airspeed, and validating the determined airspeed associated with the confidence metric of the lower value using the determined airspeed associated with the confidence metric of the higher value. However, cross-validation between multiple methods (e.g., independent methods) for airspeed determination can be otherwise suitably performed.
In another variation, Block S400 can include exchanging telemetry with a ground station to validate the airspeed measurement. For example, a ground station can monitor windspeed and wind heading in the vicinity of the aircraft and monitor the ground speed of the aircraft; infer (e.g., estimate) an airspeed of the aircraft based on the monitored data related to the aircraft; receive airspeed measurements from the aircraft as telemetry (e.g., computed in accordance with one or more variations of Blocks S100, S200, and S300), and validate the received measurements and/or the inferred airspeed based on a comparison between the two values.
In another variation, Block S400 can include combining the airspeed determination via the rotor model with additional sensors monitoring the state of the aircraft, in order to perform cross-validation of the various sensor signals. For example, in a sensor fusion scheme that combines airspeed information with other aircraft state information, Block S400 can include validating the computed airspeed by combining the output (e.g., determined airspeed based on the rotor model in combination with the rotor operating parameters) with other sensor output in a sensor fusion process to estimate the state of the aircraft. In such an example, the other sensor inputs besides the airspeed sensor (e.g., a virtual sensor defined by the inverse rotor model computation) can validate the airspeed sensor when the various inputs agree as to the state of the aircraft; conversely, the agreement (or disagreement) of the airspeed sensor with other sensor inputs can validate (or invalidate) the other sensor data (e.g., to determine whether another airspeed sensor, such as an auxiliary airspeed measurement device, is working properly or not). However, Block S400 can additionally or alternatively include otherwise suitably combining the airspeed determination with any other suitable flight data to determine the state of the aircraft (e.g., including the airspeed of the aircraft).
However, Block S400 can additionally or alternatively include validating the airspeed measurement in any other suitable manner.
In a specific implementation, the method 100 includes determining a rotor model relating a power coefficient of a propeller of the aircraft to an axial inflow velocity through the propeller as a function of a set of rotor operating parameters (e.g., a blade pitch angle of each blade of the propeller, a shaft torque applied to the propeller by the electric motor, an RPM value of the propeller, a tilt angle of the propeller, etc.). In this example, the method 100 includes determining the set of rotor operating parameters by sampling an electronic control signal associated with an electric motor actuating the propeller (e.g., an analog power signal controlled by an onboard computer or other controller, a digital control signal input, etc.). Once the set of rotor operating parameters are determined (e.g., in real time, in near-real time, etc.), the method includes computing the axial inflow velocity through the propeller based on the set of rotor operating parameters (e.g., using the rotor model, by providing the rotor operating parameters as inputs). In this and related examples, the method 100 can additionally or alternatively include determining a set of environmental parameters (e.g., an air density and sound speed proximal the aircraft), and computing the axial inflow velocity through the propeller based on the set of rotor operating parameters and the set of environmental parameters; however, in cases wherein the environmental parameters are known or fall within narrow ranges that do not substantially affect the output of the model, environmental parameter values can be assumed (e.g., as a function of known variables, as average values, etc.). In this example, the method includes computing the airspeed of the aircraft based on the axial inflow velocity (e.g., resulting in a determined airspeed). In cases wherein the aircraft is a tilt-rotor aircraft and the propeller is tilted relative to the freestream airflow direction, computing the airspeed based on the axial inflow velocity can further include dividing the axial inflow velocity by the cosine of the tilt angle to geometrically account for the tilt factor. In this example and related examples, the method includes measuring the airspeed (e.g., independently of the inverse rotor model methodology) using an auxiliary airspeed measurement device (e.g., a ground-based airspeed measurement device, an onboard air data boom, another rotor assembly arranged elsewhere on the aircraft, etc.) to generate a second determined airspeed, and comparing the first determined airspeed to the second determined airspeed to generate a validation metric. The validation metric can be used to validate either the first or second determined airspeed (e.g., based on a confidence level or confidence metric associated with each determined airspeed), such that in this example and in related examples the method includes validating at least one of the first determined airspeed and the second determined airspeed based on the validation metric.
In cases wherein the auxiliary airspeed measurement device includes a ground-based airspeed measurement device, the method can include exchanging telemetry between the aircraft and a ground station (e.g., to generate the second determined airspeed). In such instances, the method can include monitoring windspeed and the wind heading proximal the aircraft at the ground station (e.g., using an instrument at the ground station), as well as monitoring the effective ground speed and heading of the aircraft relative to the ground station (e.g., using an instrument at the ground station such as a radar), in order to determine the airspeed of the aircraft (e.g., the second determined airspeed to validate the first determined airspeed or be validated by the first determined airspeed).
Although omitted for conciseness, the preferred embodiments include every combination and permutation of the various system components and method blocks, which can be combined in any suitable permutation or combination and/or omitted in whole or in part from variations of the preferred embodiments. No ordering or sequence is necessarily implied other than where explicitly stated with respect to method blocks and/or processes; Blocks of the method 100 and variations thereof can be repeated, performed iteratively, and/or executed in any suitable order, in addition to being omitted in whole or in part in variations of the method 100.
As a person skilled in the art will recognize from the previous detailed description and from the figures and claims, modifications and changes can be made to the preferred embodiments of the invention without departing from the scope of this invention defined in the following claims.
The application is a continuation of U.S. application Ser. No. 17/467,737, filed 12 Jan. 2021, which is a continuation of U.S. application Ser. No. 16/893,733, filed 5 Jun. 2020, which is a continuation of U.S. application Ser. No. 16/453,446, filed 26 Jun. 2019, which claims the benefit of U.S. Provisional Application No. 62/693,232, filed 2 Jul. 2018, each of which is incorporated herein in its entirety by this reference.
| Number | Date | Country | |
|---|---|---|---|
| 62693232 | Jul 2018 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | 17467737 | Sep 2021 | US |
| Child | 18114272 | US | |
| Parent | 16893733 | Jun 2020 | US |
| Child | 17467737 | US | |
| Parent | 16453446 | Jun 2019 | US |
| Child | 16893733 | US |
