The disclosure relates generally to aircraft position control and management, and more particularly to a method and system for monitoring and managing separation standards for multiple aircraft in a shared airspace region.
Aircraft weighing more than a certain weight and cleared to fly above certain altitudes are subject to global air traffic control (ATC) standards that mandate minimum separation between aircraft, longitudinally, laterally, and vertically. Separation between aircraft has been and will continue to be reduced over time so more flights can be managed in tighter airspace, and so more individual flights can be guided more precisely to different “tracks” and changing altitudes to generate fuel savings and reduce carbon emissions.
Tighter stacking of aircraft is enabled by technologies such as the Global Positioning System (GPS) which tracks aircraft over their entire route (including trans-oceanic flight paths), without reliance on ground-based radars that cannot reach across oceans. GPS-based systems (e.g., Automatic Dependent Surveillance-Broadcast, or “ADS-B”) transmit key data every second, bringing enhanced clarity, accuracy, and precision to the management of airspace. As a result, even more aircraft can be managed in already-crowded airspace such as the North Atlantic corridor.
But managing more aircraft in less airspace has critical implications: First, even the most advanced air traffic control surveillance capabilities continue to rely heavily on human controllers to provide specific instructions and clearance to pilots of an increasing volume of aircraft. These instructions (mandatory pilot compliance) and advisories (voluntary pilot compliance) centrally direct aircraft to modify heading, airspeed, and altitude to maintain separation, change position, or otherwise ensure safety in the face of planned and unplanned factors. In addition to air traffic controllers, tighter aircraft stacking impacts the other human actor—pilots—reducing their response time in emergencies such as the incidence of wind shear in the trans-Atlantic corridor, and increasing the risks as aircraft are pushed off their now more-tightly planned tracks, or seek higher altitudes in crowded tracks to yield fuel savings.
Technology is enabling onboard airplane-to-airplane receipt of precise aircraft position data, resulting in improved pilot situation awareness and reduced dependence on ATC intermediation. Nevertheless, a pilot in fast-changing airspace has relatively constrained awareness, limited scope of action and only a short time to respond. Real-time decisions about the adjustments needed to maintain minimum separation and safe flight will continue to be an airplane-by-airplane burden on human air traffic controllers and individual pilots.
Disclosed is a system and method for autonomously determining, displaying (e.g., on a display device), and directing the target trajectories each aircraft should fly to regain or maintain safe separation from one or more aircraft in a shared airspace. In an embodiment, the system guides one or more pilots to independently make flight adjustments directed to maintaining or restoring safe aircraft separation, and does so without central guidance from air traffic control, or any form of communication among pilots to coordinate their respective maneuvers.
Also disclosed is a system and method for determining, displaying, and implementing how two or more aircraft in too close proximity can safely and autonomously maneuver to regain safe separation without the intervention of air traffic controllers, without any communication between the pilots of the aircraft, and without direct coordination or linkage between the systems onboard each aircraft. The disclosed system installed on multiple aircraft independently directs each to restore minimum separation through complementary recovery actions completely autonomously. Resulting benefits include reduced burden on pilots and air traffic controllers in managing the escalating pressures of increasingly tight aircraft stacking and potentially fast-changing airspace conditions.
In an embodiment, two features enable achieving safe and autonomous separation: First, a system-generated initial reference formation airspace establishes a “picket fence” of virtual surrounding aircraft based on a formation of a set of virtual aircraft positioned at the regulatory minimum longitudinal, minimum lateral, and minimum vertical separation positions around the current position of an aircraft. This positioning of virtual aircraft forms a rectangular prism or “flying box” around the center reference aircraft that is the baseline for defining safe separation and therefore for identifying penetration of this reference formation airspace.
The second feature is the application of centroid vectoring to establish a target separation vector to restore safe separation between aircraft. The centroid is the geometric balance point computed from the vertices within any space, and is the ideal target for establishing a vector toward separation. According to an embodiment, two aircraft, which have either penetrated their respective airspaces or are on a path that would result in airspace penetration, may be given target separation vectors to redirect them to the centroids of their respective penetrated airspaces. Thus directed, each aircraft will independently move in a way that restores safe separation for both aircraft, while also maintaining separation from the virtual aircraft on station around the original perimeter of each aircraft which act as proxies for any other aircraft that might be close to minimum separation distance.
The aircraft at the center of this reference formation airspace is referred to as the “reference aircraft,” and it occupies the “centroid” position of its respective reference formation airspace. In physics and geometry, a centroid is the mean position within a particular space, and represents the average position relative to all the points of the space. As such, the properties of the centroid make it ideal as a guiding position: it is always at the center of the vertices of any formation, however uniform or uneven; it is always inside the formation, thus always keeping a reference aircraft from breaching its own reference formation airspace; and the centroid can be calculated through a mathematical computation well within the capability of onboard avionics equipment. In an embodiment, the reference formation airspace forms a rectangular prism, and the centroid is at the intersection of the diagonals drawn from each opposing corner, positioning it at the three-dimensional center of the rectangular prism.
When a penetration of an airspace occurs among two or more aircraft, in addition to being in violation of minimum separation standards, the formation airspace of at least one aircraft is penetrated and thus deformed, causing each aircraft to no longer occupy the centroid position relative to its original formation airspace (because the formation airspace itself has been distorted by the penetration). In an embodiment, each aircraft equipped or in communication with the disclosed system is autonomously provided a target separation vector determined based on the new “penetration airspace” defined by the positions of the original surrounding virtual aircraft, plus the position of the penetrating aircraft. All of these positions are known: the virtual aircraft are known with precision based on their position relative to and moving in tandem with the reference aircraft, enabling the coordinates of each virtual aircraft can be calculated precisely. The penetrating aircraft is also trackable precisely by its GPS position received by the aircraft flight management system. Each aircraft's autonomous separation unit generates the dimensions of the penetrated airspace based on both virtual and penetrating aircraft positions. Based on these inputs, a new centroid is determined for each aircraft relative to its own penetrated airspace. With the centroid located, the ASU system generates a target separation vector to that new centroid. Each aircraft's heading toward the centroid of its penetrated airspace represents an optimal separation solution, because each aircraft's penetrated airspace is distinct, each heading will always be away from the other penetrating aircraft, and the separation vector each aircraft follows will always be inward to its respective penetrated airspace, thus retaining adequate separation relative to any aircraft represented by the virtual aircraft positions as well.
Several features of this autonomous resolution of minimum separation standards make it an appealing solution to the problem of maintaining safe separation among aircraft without requiring either pilot or controller human intervention:
In an embodiment, the system operates at a range beyond that of Traffic Collision Avoidance Systems (TCAS) that aircraft are also equipped with and that are activated when proximities and speeds suggest the potential for imminent collision.
Embodiments of the disclosed system have benefits for pilots and for air traffic controllers:
In an embodiment, disclosed is a method for managing aircraft flight separation of a plurality of aircraft in a flight information region for compliance with a predetermined separation standard that includes minimum longitudinal, minimum lateral and minimum vertical separation parameters, the method comprising the steps of (1) receiving current position data for each of the aircraft in the flight information region, (2) constructing, for each of the aircraft in the flight information region, a reference formation airspace in the form of a rectangular prism with dimensions based upon the minimum longitudinal, minimum lateral and minimum vertical separation parameters, and with the centroid of the formation airspace as the current position of the aircraft, (3) comparing, for a first aircraft in the flight information region, the reference formation airspace of the first aircraft to the current position of a second aircraft in the flight information region, to determine if the second aircraft has penetrated the reference formation airspace of the first aircraft, and if the second aircraft has penetrated the reference formation airspace of the first aircraft: (a) constructing a penetration airspace of the first aircraft representing a modification of the reference formation airspace of the first aircraft deformed by the position data of the second aircraft, (b) determining a centroid of the penetration airspace of the first aircraft, and (c) generating a target separation vector defined by the direction from the current position of the first aircraft to the centroid of the penetration airspace of the first aircraft.
In an embodiment, the target separation vector is transmitted to the first aircraft and/or to an air traffic control system associated with the flight information region.
In an embodiment, the steps of the method are continuously performed in real time for each of the aircraft in the flight information region with respect to all the other aircraft in the flight information region.
In an embodiment, the reference formation airspace may be constructed by defining positions of 16 virtual aircraft located at the vertices and the center edges of the rectangular prism. In alternative embodiments, the airspace may be defined by more or fewer virtual aircraft arranged about the periphery of the rectangular prism. Further, the penetration airspace may be constructed based upon the set of virtual aircraft with the position of one of the aircraft closest to the penetrating aircraft modified to the position of the penetrating aircraft. In an alternative arrangement, the position of the penetrating aircraft may form an additional vertex for defining the penetration airspace.
In an embodiment, the method may include configuring a proximity risk trigger defined by a proximity distance, generating a proximity risk warning when another aircraft is within the proximity distance to the reference formation airspace of an aircraft, and sending the proximity risk warning to least one of the aircraft, the other penetrating aircraft or an air traffic control system associated with the flight information region.
In an embodiment, disclosed is a method for managing aircraft flight separation of a reference aircraft during flight for compliance with a predetermined separation standard that includes minimum longitudinal, minimum lateral and minimum vertical separation parameters, the method including the steps of receiving current position data of the reference aircraft, constructing a reference formation airspace in the form of a rectangular prism with dimensions based upon the minimum longitudinal, minimum lateral and minimum vertical separation parameters and the centroid of the formation airspace as the current position of the reference aircraft, defining positions of 16 virtual aircraft located at the vertices and the center edges of the reference formation airspace, receiving at least position data of other aircraft within a predetermined distance to the reference formation airspace, and if at least one of the other aircraft penetrates the reference formation airspace: (1) constructing a penetration airspace defined by the positions of the 16 virtual aircraft wherein the position of one of the virtual aircraft closest to the penetrating aircraft is modified to the position of the penetrating aircraft, (2) determining a centroid of the penetration airspace, (3) generating a target separation vector extending from the current position of the reference aircraft to the centroid of the penetration airspace, and (4) sending the target separation vector to the reference aircraft.
The steps of the method may be performed continuously in real time.
In an embodiment, if an approaching or penetrating aircraft is determined to be within a collision risk distance, the method may hand off control to an onboard collision avoidance system.
In an embodiment, the target separation vector may be sent to an onboard autopilot system, or, if an autopilot system is not present or not engaged, the target separation vector may be displayed on a pilot display.
In an embodiment, the penetration airspace may be defined by the positions of multiple penetrating aircraft and the positions of the multiple aircraft.
In an embodiment, disclosed is a method for managing aircraft flight separation of a reference aircraft during flight for compliance with a predetermined separation standard that includes minimum longitudinal, lateral and vertical separation parameters, the method including the steps of receiving position data of the reference aircraft, constructing a reference formation airspace in the form of a rectangular prism with dimensions based upon the minimum longitudinal, lateral and vertical separation parameters and the position of the reference aircraft as the centroid of the reference formation airspace, receiving position data of at least one other aircraft that is nearest to the reference formation airspace, if the at least one other aircraft penetrates into the reference formation airspace: (1) constructing a penetration airspace representing a modification of the reference formation airspace deformed by at least the position data of the at least one other aircraft, (2) determining a centroid of the penetration airspace, and (3) sending to the reference aircraft a vector representing a direction to the centroid of the penetration airspace.
In an embodiment, the method may define a plurality of virtual positions spaced about the vertices and the edges of the reference formation airspace, and wherein the penetration airspace is represented by the plurality of virtual positions and the penetrating aircraft position.
The disclosed embodiments may be understood from the following detailed description taken in conjunction with the accompanying drawings of which:
Turning to
In
The reference formation airspace of the center reference aircraft 403 is the minimum separation airspace subtended by the positions of all the aircraft 401 located around the perimeter of the airspace 402. This reference formation airspace 402 around the center reference aircraft 403 is a mathematical construct with an interior space and a specifically defined perimeter populated by the virtual aircraft 401. The reference formation airspace box 402 moves continuously as the center reference aircraft 403 moves. Computationally, the location of the perimeter of the reference formation airspace 402 is known, and therefore its penetration by any other aircraft, representing a breach of the minimum separation standards, can be detected and its penetration depth and velocity measured with respect to the reference formation airspace 402.
Turning to
The ASU system in aircraft 704B calculates a new centroid based on its penetration airspace 703B, generating the new centroid position 704CENT among all vertices of the now-changed airspace. Similarly, aircraft 702B recalculates its own new centroid based on the deformations imposed by aircraft 704B and aircraft 705B which has also penetrated the airspace based on the example from
Any number of penetrations can be addressed, resulting only in the potential tightening of the airspace in which the centroid location is computed. Further, while the virtual aircraft are used to frame the reference formation airspace and typically at least a portion of a penetration airspace, these virtual aircraft are not real, and thus offer no risk of real danger even as the centroid draws closer. In fact, the framing virtual aircraft establish the closest location of potentially penetrating real aircraft and serve to circumscribe the range of movement of aircraft as the restoration of safe separation is underway.
In step 901, operation of the ASU is initiated by ensuring the aircraft ID is entered, the transponder is set, GPS signals can be received, and that both broadcast and reception to and from ATC and other aircraft are enabled. In modern aircraft operating at high altitudes (above 12,000 ft, for example), the flight management system is activated in step 902, and can be set to manual 903 or autopilot 904 operation of the aircraft. In step 905, the system is configured to establish the reference formation airspace that creates a rectangular prism frame around the aircraft at the minimum separation standard longitudinally, laterally, and vertically. In addition, in an embodiment, risk triggers can be set to govern how far away a potentially-penetrating aircraft should be before being tracked by the system and considered a threat, and when the proximity of an aircraft is such that the separation system is suspended and the Traffic Collision Avoidance System (TCAS) takes over.
Once airborne, in step 906 the ASU system monitors broadcast data from GPS and other aircraft data, and in step 907 assesses the degree to which any aircraft may pose a trigger-level risk. If the threat from an approaching aircraft is deemed a sufficient risk, in step 908 the system will generate a penetration airspace in the form of a rectangular prism with dimensions based on the minimum separation standard. In an embodiment, a set of virtual aircraft spaced about the perimeter of the penetration airspace may be defined, and virtual aircraft may be replaced or substituted with the data from the nearest-risk, real approaching aircraft. In step 909, the approaching aircraft is evaluated to determine if it has penetrated the reference formation airspace of the aircraft. If the approaching aircraft does not breach the separation distances, the system returns to monitoring incoming data in step 906. On the other hand, in step 909, if separation is violated and the approaching aircraft has penetrated the reference formation airspace, then in step 910 the incoming distance is checked to see if it is so close and closing so quickly requiring that the system automatically hands off to TCAS in step 911. However, if in step 910 TCAS is not triggered, the penetration data—for current and additional aircraft if any—is incorporated in step 912, and the penetration airspace is constructed in step 913. In step 914, the centroid of the penetration airspace is computed, and in step 915 the target separation vector is generated. In step 916, if the autopilot is engaged, then in step 918 the target separation vector is displayed and supplied to the autopilot system for the aircraft to navigate to the centroid along the target separation vector which will reestablish safe separation. If the autopilot is not engaged, then in step 917 the target separation vector information is displayed, possibly with an audible or visual indicator alerting the pilot of the penetration and the recommended target separation vector to reestablish safe separation. Further, after the target separation vector is generated in step 915, the process returns to step 908 to continuously update the penetrated airspace until, in step 909, it determines that a separation violation no longer exists.
Further to
Finally, in
According to an embodiment, the Autonomous Separation Unit 1106 may be installed and interfaced with direct access to the flight management system 1101, in order to facilitate the display of information such as the separation trajectory as shown in
In an embodiment, the ASU system is integrated with the Area Control Center 1201 and is interfaced with the GPS, VFR, IFR, communications, etc. In an embodiment, as indicated in step 1202, the ASU is deployed in an en-route FIR role, referring to a non-airport-based control center that is primarily engaged in managing aircraft en-route to their destinations and thus not within the control of origin or destination airports. In an alternative embodiment, the ASU may be deployed at an airport. The ASU can be operated in standby mode 1203 supplying data and information to controllers who would then review, amend if needed, and transmit the recommended separation actions to multiple aircraft. Alternatively, operating in an automated mode 1204, the Area Control Center-based ASU transmits instructions to multiple aircraft simultaneously after tracking and computing individual reference formation airspaces and, when needed, penetration airspaces for multiple aircraft, and determining their target separation vectors toward separation across longitude, latitude, and altitude as needed.
In addition to separation management for minimum-space adherence purposes, the ASU can also compute and transmit trajectories designed to optimize fuel efficiency and emissions, goals that are most often achieved through changes in altitude. The specific operation of the ASU in an Area Control Center tracking multiple aircraft and with full access to GPS and all related positioning, navigation, and aircraft transponder and communications performs the following representative steps:
The phrases “at least one,” “one or more,” “or,” and “and/or” are open-ended expressions that are both conjunctive and disjunctive in operation. For example, each of the expressions “at least one of A, B and C,” “at least one of A, B, or C,” “one or more of A, B, and C,” “one or more of A, B, or C,” “A, B, and/or C,” and “A, B, or C” means A alone, B alone, C alone, A and B together, A and C together, B and C together, or A, B and C together.
The term “a” or “an” entity refers to one or more of that entity. As such, the terms “a” (or “an”), “one or more,” and “at least one” can be used interchangeably herein. It is also to be noted that the terms “comprising,” “including,” and “having” can be used interchangeably.
Any of the steps, functions, and operations discussed herein can be performed continuously and automatically.
The exemplary systems and methods of this disclosure have been described in relation to computing devices. However, to avoid unnecessarily obscuring the present disclosure, the preceding description omits several known structures and devices. This omission is not to be construed as a limitation. Specific details are set forth to provide an understanding of the present disclosure. It should, however, be appreciated that the present disclosure may be practiced in a variety of ways beyond the specific detail set forth herein.
Furthermore, while the exemplary aspects illustrated herein show the various components of the system collocated, certain components of the system can be located remotely, at distant portions of a distributed network, such as a LAN and/or the Internet, or within a dedicated system. Thus, it should be appreciated, that the components of the system can be combined into one or more devices, such as a server, communication device, or collocated on a particular node of a distributed network, such as an analog and/or digital telecommunications network, a packet-switched network, or a circuit-switched network. It will be appreciated from the preceding description, and for reasons of computational efficiency, that the components of the system can be arranged at any location within a distributed network of components without affecting the operation of the system.
Furthermore, it should be appreciated that the various links connecting the elements can be wired or wireless links, or any combination thereof, or any other known or later developed element(s) that is capable of supplying and/or communicating data to and from the connected elements. These wired or wireless links can also be secure links and may be capable of communicating encrypted information. Transmission media used as links, for example, can be any suitable carrier for electrical signals, including coaxial cables, copper wire, and fiber optics, and may take the form of acoustic or light waves, such as those generated during radio-wave and infra-red data communications.
While the flowcharts have been discussed and illustrated in relation to a particular sequence of events, it should be appreciated that changes, additions, and omissions to this sequence can occur without materially affecting the operation of the disclosed configurations and aspects.
Several variations and modifications of the disclosure can be used. It would be possible to provide for some features of the disclosure without providing others.
In yet another configurations, the systems and methods of this disclosure can be implemented in conjunction with a special purpose computer, a programmed microprocessor or microcontroller and peripheral integrated circuit element(s), an ASIC or other integrated circuit, a digital signal processor, a hard-wired electronic or logic circuit such as discrete element circuit, a programmable logic device or gate array such as PLD, PLA, FPGA, PAL, special purpose computer, any comparable means, or the like. In general, any device(s) or means capable of implementing the methodology illustrated herein can be used to implement the various aspects of this disclosure. Exemplary hardware that can be used for the present disclosure includes computers, handheld devices, telephones (e.g., cellular, Internet enabled, digital, analog, hybrids, and others), and other hardware known in the art. Some of these devices include processors (e.g., a single or multiple microprocessors), memory, nonvolatile storage, input devices, and output devices. Furthermore, alternative software implementations including, but not limited to, distributed processing or component/object distributed processing, parallel processing, or virtual machine processing can also be constructed to implement the methods described herein.
In yet another configuration, the disclosed methods may be readily implemented in conjunction with software using object or object-oriented software development environments that provide portable source code that can be used on a variety of computer or workstation platforms. Alternatively, the disclosed system may be implemented partially or fully in hardware using standard logic circuits or VLSI design. Whether software or hardware is used to implement the systems in accordance with this disclosure is dependent on the speed and/or efficiency requirements of the system, the particular function, and the particular software or hardware systems or microprocessor or microcomputer systems being utilized.
In yet another configuration, the disclosed methods may be partially implemented in software that can be stored on a storage medium, executed on programmed general-purpose computer with the cooperation of a controller and memory, a special purpose computer, a microprocessor, or the like. In these instances, the systems and methods of this disclosure can be implemented as a program embedded on a personal computer such as an applet, JAVA® or CGI script, as a resource residing on a server or computer workstation, as a routine embedded in a dedicated measurement system, system component, or the like. The system can also be implemented by physically incorporating the system and/or method into a software and/or hardware system.
The disclosure is not limited to standards and protocols if described. Other similar standards and protocols not mentioned herein are in existence and are included in the present disclosure. Moreover, the standards and protocols mentioned herein, and other similar standards and protocols not mentioned herein are periodically superseded by faster or more effective equivalents having essentially the same functions. Such replacement standards and protocols having the same functions are considered equivalents included in the present disclosure.
This patent application is a continuation of U.S. patent application Ser. No. 17/700,382, filed Mar. 21, 2022, which is a continuation of U.S. patent application Ser. No. 17/492,904, filed Oct. 4, 2021, which issued as U.S. Pat. No. 11,282,398 on Mar. 22, 2022, all of which are incorporated by reference in their entirety herein.
Number | Date | Country | |
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Parent | 17700382 | Mar 2022 | US |
Child | 18305920 | US | |
Parent | 17492904 | Oct 2021 | US |
Child | 17700382 | US |