1. Field of the Invention
This invention is directed to an unmanned vehicle, and more particularly to an autonomous or remotely controlled vehicle capable of both aerial and terrestrial locomotion.
2. Discussion of Related Art
The ability to quickly reach a goal location without needing to navigate obstacles or challenging terrain makes aerial vehicles an excellent choice in applications like search and rescue or military surveillance. Consequently, Unmanned Aerial Vehicles (UAVs), and especially the smaller class of Micro Air Vehicles (MAVs), are gathering increased interest among researchers. However, it is difficult for MAVs to remain airborne for an extended period of time because of their high energy consumption.
This invention includes a vehicle capable of both aerial and terrestrial locomotion. In one embodiment, the terrestrial and aerial vehicle includes a flying device and a rolling cage connected to the flying device by at least one revolute joint. The flying device desirably includes at least one rotor, i.e., a rotorcraft, and the rolling cage at least partially encloses or surrounds the flying device. In particular embodiments of this invention, the flying device and/or rolling cage includes a shaft connected to the other of the rolling cage and/or flying device. A bearing connects the shaft to the flying device and/or the rolling cage, such as to form a revolute joint.
Flight is desirably achieved using a rotorcraft flying device, which can have different configurations based on the number of rotors used. Single rotor, coaxial rotors, tandem rotors, tricopter, quadcopter, hexacopter, and octocopter are all different types of rotorcrafts that can serve as the flying agent of the hybrid system. Connecting this rotorcraft with a rolling cage through one or more revolute joints makes terrestrial locomotion possible. As used herein, “terrestrial” includes both solid surfaces and liquid surfaces, such as bodies of water. This design allows the cage to roll freely with respect to the flying system. The rolling cage is desirably not powered directly, and freely rolls due to the rotor thrust of the flying device alone.
During flight, the rotor actuator(s) provide enough lift to overcome the weight of the vehicle, and the system functions as a regular flying system; it can move by rolling or pitching and change direction by changing its yaw angle. For terrestrial locomotion, the rotorcraft must first pitch about the revolute joint center (see
Combining the terrestrial and aerial locomotion modes in a hybrid design incorporates the advantages of both modes in a single system. Adding a reliable terrestrial locomotion structure to an aerial vehicle provides improved efficiency, which extends operation time and range. On the other hand, adding flight capabilities to a terrestrial system eliminates the problem of obstacle negotiation. When an obstacle is encountered, the system easily flies over it.
Existing hybrid systems are usually composed of separate aerial and terrestrial locomotion actuator mechanisms directly attached together to form the hybrid vehicles. In contrast, a feature of embodiments of this invention is that the vehicle uses the same primary actuators for both modes of locomotion, e.g., the flight system also power the terrestrial locomotion. Consequently, neither the mass nor the system complexity is increased by inclusion of actuators for aerial locomotion and separate actuators for terrestrial locomotion, or by the inclusion of a transmission coupled with a clutch between two locomotion systems.
Using the same actuators for both forms of locomotion greatly simplifies the system's mechanical and control complexity. Combining the terrestrial and aerial locomotion modes in a hybrid design incorporates the advantages of both modes in a single vehicle. Adding a reliable terrestrial locomotion mode to a MAV provides improved efficiency, which extends operation time and range. On the other hand, adding flight capabilities to a terrestrial vehicle eliminates the problem of obstacle negotiation. When an obstacle is encountered, the system easily flies over it.
Similar to other mobile vehicle platforms, the system can be applied in hazardous environments for a human operator such as search and rescue and military missions. Other potential application of this system lies in entertainment industry, as a toy.
The invention has a simple design. This makes it easy and low cost to manufacture. The flying system does not have a new or specific design requirement. Any regular flying rotorcraft system, for which there are many well developed samples available, can be employed as the flying agent. The rolling cage is desirably impact resistance and durable against the shocks that aggressive landings or crashes of the flying device can cause. In one embodiment, polycarbonate and carbon fiber materials were used to fabricate the prototype system. As detailed below, the fabricated cage was/is able to successfully resist shocks and forces.
To reduce dissipation of energy during terrestrial locomotion, the joint connecting the rolling cage and the flying system should have the minimum possible friction. Mounting bearings at the position of the joints helps reduce the friction.
These and other objects and features of this invention will be better understood from the following detailed description taken in conjunction with the drawings.
This invention provides a mobile autonomous or remote-controlled vehicle, such as a MAV, capable of both aerial and terrestrial locomotion. Flight is desirably achieved through a suitable rotor configuration, such as a quadrotor with four actuators that provide the required thrust. Adding a non-powered rolling cage to the vehicle makes terrestrial locomotion possible using the same actuator set and control system. Thus, neither the mass nor the system complexity is increased by inclusion of separate actuators for terrestrial and aerial locomotion. An analysis of the system's energy consumption demonstrated that during terrestrial locomotion, the vehicle only needs to overcome rolling resistance and consumes much less energy compared to the aerial mode. This solves one of the most vexing problems of quadrotors and rotorcraft in general, namely their short operation time. Experimental results showed that the hybrid vehicle can travel a distance four times greater and operate almost six times longer than an aerial-only system. It also solves one of the most challenging problems in terrestrial vehicle design, namely obstacle avoidance. When an obstacle is encountered, the system simply flies over it.
In one embodiment of this invention, referring to
The vehicle of this invention can be used for any suitable purpose, such as for entertainment, military, or security uses. In particular embodiments, any suitable security recording equipment or weaponry can be added to the vehicle. As shown in
In embodiments of this invention, the rolling cage extends around at least a portion of the flying device, and desirably surrounds or encloses at least a portion of the flying device. In the embodiment of
The rolling cage 44 of
The rolling cage can have any suitable shape and configuration to allow the cage to roll under thrust power of the flying device, such as, for example, the rolling cage comprises a hemisphere, a ring, a sphere, a partial sphere, an oblate sphere, a partial oblate sphere, a cylinder, a toroid, a parallelepiped, a polyhedron, or a prism.
In preferred embodiments of this invention, the rolling cage 44 is not directly powered, and instead rolls against a surface based upon movement by the flying device 42 across the surface. As representatively shown in
Using a single set of rotor actuators for both forms of locomotion greatly also simplifies the system's mechanical and control complexity. Combining the terrestrial and aerial locomotion modes in a hybrid design incorporates the advantages of both modes in a single vehicle. Adding a reliable terrestrial locomotion structure to a flying device provides improved efficiency where terrestrial locomotion is possible, which extends operation time and range. When a terrestrial obstacle is encountered, the vehicle easily flies over it.
The present invention is described in further detail in connection with the following examples which illustrate or simulate various aspects involved in the practice of the invention. It is to be understood that all changes that come within the spirit of the invention are desired to be protected and thus the invention is not to be construed as limited by these examples.
A prototype of the invention was created and tested. The prototype is shown in
The prototype system's equations of motion were developed for both the aerial and terrestrial modes of operation. The equations were used to choose system parameters for optimal efficiency.
A. Aerial Mode
The prototype behaved as a regular quadrotor during flight. The addition of cage only changed the mass and moments of inertia. The dynamics of such system have been derived many times in detail elsewhere in the literature (D. Mellinger, M. Shomin, and V. Kumar, “Control of quadrotors for robust perching and landing,” Proceedings of International Powered Lift Conference 2010, 2010). Thus, they are only summarized here.
where mB is the mass of the vehicle; IB*B is the moment of inertia of the quadrotor about its center of mass, B*, along the {circumflex over (b)}1, {circumflex over (b)}2, and {circumflex over (b)}3 axis; IrB* is the position vector from a fixed point in the inertial frame to B*; g is the gravity vector; and IωB is the rotational velocity of frame B in inertial frame. The magnitude of the drag force, ud, applied to the robot in the direction of flight is defined as:
where ρ is the air density; Cd is the coefficient of drag; ν is the velocity of the robot; and Af is the frontal area of the robot. Estimations for Cd and Af of a quadrotor were not found in the literature. The drag coefficient was assumed to be equal to that of a cube (C d=1) and the frontal area is obtained through the following equation.
A
f=αfcos(θ)+αtsin(θ) (4)
where αf and αt are respectively the area of the front and top cross sections of the quadrotor.
B. Terrestrial Mode
The reference frames used in derivation of the equations of motion for terrestrial locomotion are depicted in
1) Rolling Resistance:
The rolling resistance torque opposes the rolling motion of the cylindrical cage on the ground. This torque, τr, is similar to the rolling friction of tires and can be estimated as:
ττ=CrrR∥N∥{circumflex over (b)}2 (5)
where Crr is the rolling resistance coefficient, R is the radius of the cage, and N is the normal force:
N=Mg−u
fcos(θ)î3 (6)
where M is the mass of the quadrotor, mB, plus the mass of the cage, mC, and θ is the pitch angle of the quadrotor with respect to ê1.
2) Turning Resistance:
The turning resistance opposes the rotation of the robot along the yaw axis:
τy=ωμ∥N∥î3 (7)
where w is the width of the cage and μ is the wheel/terrain coefficient of friction. For planar motion, it was assumed that the robot can be modeled as a rolling disk. The velocity of the center point, O (see
I
v
O
={dot over (x)}î
1
+{dot over (y)}î
2
+żî
3 (8)
The velocity of the center of mass of the quadrotor, B*, can also be calculated as:
I
v
B*=IvO−d{dot over (θ)}{circumflex over (b)}1 (9)
where d is the distance between B* and O. The velocity of the contact point, P, can be obtained using the velocity of the center point, IvO.
I
v
P=IvO−R{dot over (Ω)}ê1 (10)
where is the rotational velocity of the cage. The inertial observed velocity of point P, IvP, can be stated in I as:
I
v
P=({dot over (x)}−R{dot over (Ω)}cos(Ψ))î1+({dot over (y)}−R{dot over (Ω)}sin(Ψ))î2+żî3 (11)
Assuming pure rolling and no side slip, the velocity of the contact point should always be equal to zero. This gives the two following nonholonomic constraints:
{dot over (x)}−R{dot over (Ω)}cos(Ψ)=0 (12a)
{dot over (y)}−R{dot over (Ω)}sin(Ψ)=0 (12b)
The kinetic energy of the system during rolling can be estimated as:
where mC is the mass of the rolling cage; I1C and I2C are the moments of inertia of the cage about point O and along the ĉ1 and ĉ2 axes, respectively.
The potential energy of the robot is given as:
V
T
=m
B
∥g∥d[1−cos(θ)] (14)
The external forces and torques acting on the robot can be summarized as:
f
e
=u
f
{circumflex over (b)}
3
−u
d
ê
1 (15)
τe=(uθ−∥τr∥)ê2+(uΨcos(θ)−∥τy∥)ê3 (16)
The air drag in the hybrid system is different from an aerial-only quadrotor because of the addition of the cage. Although the cage is designed such that the air can flow through it without much obstruction, the frontal area of the hybrid system was estimated to be equal to a solid cylinder of the same size as the cage. Experimental results, shown later, show that this is a good approximation.
Writing the Lagrange equation for the robot gives:
where L=K−V, λ1 and λ2 are the Lagrange multipliers, and Qqk is the external torque or force corresponding to each element. Solving this equation for the x and y coordinates yields:
M{umlaut over (x)}−m
b
d[{umlaut over (θ)}cos(θ)sin(Ψ)−{dot over (θ)}2sin(θ)sin(Ψ) +{dot over (θ)}{dot over (Ψ)}cos(θ)cos(Ψ)]=ufsin(θ)cos(Ψ)+λ1 (18a)
Mÿ−m
b
d[{umlaut over (θ)}cos(θ)cos(Ψ)−{dot over (θ)}2sin(θ)cos(Ψ) +{dot over (θ)}{dot over (Ψ)}cos(θ)sin(Ψ)]=ufsin(θ)sin(Ψ)+λ2 (18b)
Solving (17) for the rolling coordinate, Ω, yields:
I
2
C{umlaut over (Ω)}=−∥ττ∥−λ1Rcos(Ψ)−λ2Rsin(Ψ) (19)
Replacing for λ1 and λ2 from (18) into (19), and deriving the Lagrange equation for Ψ and θ coordinates, yields:
Equations (12) and (20) fully describe the dynamics of the robot in terrestrial mode and help with analyzing its performance in the following section.
The energy consumption of the hybrid robot in terrestrial mode was less than the aerial-only system during flight. This is analyzed in detail in this section. To begin this analysis, the performance of the propellers is examined by conducting static experiments.
A. Performance of the Propellers
The prototype included three bladed GWS propellers with a diameter of 127 mm and a 76 mm pitch. Three sets of experiments were performed to evaluate the propeller, and results are shown in
The performance of the propellers was modeled with a quadratic equation:
P=α
1
f
2+α2f+α3 (21)
where α1, α2 and α3 can be obtained through a basic curve fitting method. Obviously, these coefficients are different for an aerial-only system and the prototype.
B. Power Consumption at a Constant Speed
1) Aerial Mode:
To keep the robot airborne at a constant height and speed, the thrust should overcome the robot's weight and air resistance (see
2) Terrestrial Mode:
To maintain a constant rolling speed on the ground, the rolling friction and air resistance must be overcome. It was assumed that the friction in the ball bearings can be neglected for this analysis. Assuming the case where the robot is rolling on the ground along the ê1 axis (
u
f
Rsin(θ)−∥ττ∥−udR=0 (25)
where uf is the amount of the force required to keep the system rolling at a constant speed. Replacing ud and τr from (3) and (5) and rearranging yields:
This equation shows that the value of the required input force is a function of the velocity, ν, pitch angle, θ, mass of the quadrotor and cage, M, and the surface type. Note that the frontal area term, Af in calculation of air resistance is different from that in aerial-only system due to the added area of the cage. The upper bound for the value of this area is where the cage is assumed to be solid and no air passes through it. This assumption was used in the analysis.
uθ is the moment required to maintain a constant pitch angle, θ, and counteract the moment induced by the center of mass offset, which can be obtained from (20):
u
θ
=m
B
d∥g∥sin(θ) (27)
It was known that uθ and uf are related based on the following equations.
u
f
=f
1
+f
2 (28a)
u
θ=(f1−f2)L (28b)
where f1 f2 are the front and rear propeller thrusts as depicted in
Assuming the mass of the rolling cage to be 25% of that of the quadrotor, the distance the robot can roll on the ground is compared to an aerial-only quadrotor's flight time (see
C. Optimal Inputs to Maximize the Range
The maximum range of the prototype for each mode of travel is highly dependent to the robot's states. For the aerial mode, the pitch angle of the robot is the only input, while in terrestrial mode both the pitch angle and velocity of the robot affect the system performance and thus how far it can travel before the battery is depleted. Given a fixed amount of energy, E:
E=Pt (30)
where P is power and t is time. Therefore the robot's range, D, can be obtained using the following equation.
1) Aerial Mode:
The velocity of the robot while flying at a constant height was a function of the pitch angle, which can be obtained dividing (24) by (23).
Replacing for ν and uf from (32) and (23) into (31) and estimating power from (21) gives an equation for robot's range as a function of pitch angle. Using this equation, θ=30° is the optimal pitch angle that gives the maximum flight range at a constant speed and height.
2) Terrestrial Mode:
During ground locomotion changes in both velocity and pitch angle affected the prototype's energy consumption.
where DT represents terrestrial mode range and f1 and f2 can be replaced from (29). Nonlinear programming was used to obtain the optimal terrestrial range for different terrain types.
The energy efficiency and operation time and range of the two working modes were investigated by operating the robot at constant speeds in both aerial and terrestrial modes.
A. Aerial Mode
The quadrotor was tested inside a wind tunnel to measure the power consumption during flight as a function of pitch angle. The Andrew Fejer Unsteady Flow Wind Tunnel, used in this experiment, is a closed circuit, low-speed facility, driven by an axial-vane fan powered by a 40HP synchronous motor. The motor is made by Baldor Electric Co. and is an EM2540T model. The wind-tunnel test section is 0.61m×0.61m in cross section and 3.1m in length. Flow velocities up to 40 m/s can be reached by adjusting an H2 vector drive controller, which controls the fan rotational speed. Screens, honeycombs, and a contraction region upstream of the test section yield a turbulence level of 0.3% at the maximum velocity.
The quadrotor was mounted on top of a 6-DOF force-torque sensor. Force measurements are taken at 1000 Hz using a National Instruments DAQ card and Labview. The values of thrust and wind speed were adjusted such that when the vertical force component equaled the weight of the quadrotor, the air drag force equaled the horizontal component of the propeller's force. At this state, the power was directly measured from the power source and the wind speed was representative of the quadrotor's flight speed. The measurements corresponding to six different pitch angles of 5, 10, 15, 20, 25, and 30 degrees are depicted in
Hovering required about 110W of power. The quadrotor could not produce enough thrust to overcome its weight at angles greater than 30°. At a pitch angle of 30°, which corresponded to a horizontal speed of 11.30 m/s, the quadrotor consumed about 160W. The results show that the maximum range can be obtained at a pitch angle of 24° which is less than the theoretically estimated optimal angle of 30°. This also means the quadrotor used in prototype can fly a maximum horizontal distance of 3.6 km with a fully charged battery.
B. Terrestrial Mode
For terrestrial mode, three sets of experiments were performed on three different terrain types: linoleum, carpet, and turf. The rolling resistances of the chosen surfaces were measured by dragging the prototype on the surface with a rope coupled to a load cell. Three different pitch angles of 80°, 85°, and 90° were tested. The velocity range between the robot's minimum possible speed on a particular surface (2.5 m/s for linoleum and carpet and 2 m/s on turf) was up to 6 m/s. The speed of prototype was measured using a rotary encoder. Power consumption was measured directly from the battery output using voltage and current sensors.
The performance of each propeller of the system was evaluated above. The results depicted in
Although the cage structure was relatively open, the drag coefficient of the robot was assumed to be equal to that of a solid cylinder. The results show that this assumption is not far from reality, and as the cage spins it behaves more like a solid cylinder. This indicates that the design of the cage can help lower its drag coefficient and improve the efficiency of the ground mode, especially at high speeds.
The experimental results summarized in Table II indicate that it is much more efficient to roll on the ground instead of flying, especially at low speeds. For instance at 2 m/s the rolling distance on linoleum is about 11 times greater than the flight range (See
Comparing the optimal values of pitch angle and velocity from Table II with what was theoretically estimated in
It will be appreciated that details of the foregoing embodiments, given for purposes of illustration, are not to be construed as limiting the scope of this invention. Although only a few exemplary embodiments of this invention have been described in detail above, those skilled in the art will readily appreciate that many modifications are possible in the exemplary embodiments without materially departing from the novel teachings and advantages of this invention. Accordingly, all such modifications are intended to be included within the scope of this invention. Further, it is recognized that many embodiments may be conceived that do not achieve all of the advantages of some embodiments, particularly of the preferred embodiments, yet the absence of a particular advantage shall not be construed to necessarily mean that such an embodiment is outside the scope of the present invention.
This application claims the benefit of U.S. Provisional Application, Ser. No. 61/726,335, filed on 14 Nov. 2012. The co-pending provisional application is hereby incorporated by reference herein in its entirety and is made a part hereof, including but not limited to those portions which specifically appear hereinafter.
This invention was made with government support under award N00014-10-1-0769 awarded by Office of Naval Research. The government has certain rights in the invention.
Number | Date | Country | |
---|---|---|---|
61726335 | Nov 2012 | US |