The present disclosure generally relates to portable unmanned aerial vehicles, and in particular, to systems and methods for foldable unmanned aerial vehicles having a laminate structure.
Unmanned Aerial Vehicles (UAVs) have been developed for over a decade. Mechanical engineers and computer scientists have come up with various functions and software codes to simulate and manipulate a UAV in multiple ways. In fact, unmanned aerial vehicles have become popular for environmental monitoring, search and rescue, package delivery and surveillance. However, the structure of existing UAVs is fixed, which limits their maneuverability and costs more energy to control the flight behavior of such UAVs.
It is with these observations in mind, among others, that various aspects of the present disclosure were conceived and developed.
The present patent or application file contains at least one drawing executed in color. Copies of this patent or patent application publication with color drawing(s) will be provided by the Office upon request and payment of the necessary fee.
Corresponding reference characters indicate corresponding elements among the view of the drawings. The headings used in the figures do not limit the scope of the claims.
The present disclosure relates to changing the center of mass and moment of inertia of a foldable unmanned aerial vehicle (UAV) including developing a physical model of its laminate structure and operation. The present disclosure further relates to systems and methods for controlling the flight of a foldable UAV. To achieve this goal, it is important to understand and solve different challenges.
Traditional methods of connecting laminate structures together when constructing ground origami robots, for example using glue and/or friction connections when connecting together two laminate structures, are insufficient when constructing a UAV. In one aspect, the novel foldable UAV structure of the present disclosure is stronger than traditional laminate structures, such as an origami mechanism structure, because it needs to accommodate the stress of flight operations. To solve this problem, a connection method using slot and other permanent connecting methods were found to be the most reliable.
In another aspect, the structure of the foldable UAV is not as rigid as a traditional structure, such as metal and plastic, used to manufacture conventional UAVs. To accommodate the fact that the normal direction of the propeller for the foldable UAV may not be strictly parallel to the D-axis of the UAV body during flight (thereby making it difficult to control the UAV during flight), the laminated structure of the foldable UAV is constructed to be as stiff as possible in order to allow the foldable UAV to maintain the normal direction parallel to D-axis during flight.
In yet another aspect, the foldable UAV, designated 200, includes a processor as shown in
In another aspect, the foldable UAV, designated 100, shown in
In some embodiments, the articulation of the extendable arms during the flight is assumed to be zero. In one aspect, each extendable arm of the foldable UAV can be treated like a cantilevered beam during the stress analysis as shown in the simplified free body diagram of
During flight testing, a first embodiment of the foldable UAV 100 shown in
Referring to
In some embodiments, the laminated structure 102 may be manufactured from cardboard, chipboard, an acrylic material, and fiberglass can be used. In some embodiments, the geometric size of the laminated structure 102 can also be increased depending on the weigh restriction imposed by the type of controller unit and the material used to manufacture the structure 102.
In one embodiment, the foldable UAV includes 6,500 KV type motors and a laminated structure 102 having equilateral-triangular-three extendable arms 104 configuration to produce a stiffer structure.
Referring to
In
In one embodiment, the net payload of the foldable UAV 400 was found to be 1.2 kg, which is more than enough for the test platform. The foldable UAV, designated 300, shown in
In one method of manufacturing, the foldable UAV 100, for example, may be manufactured by first cutting each layer of cardboard separately and then piling each layer of the foldable UAV 100 structure up in the correct sequence before applying heat and pressure with tools like T-shirt pad. After the layers of cardboard are strongly connected to each other, they are placed on a laser cutter and the outline of the foldable UAV is cut to obtain the main structure as shown in
After the main structure of the foldable UAV 100 is cut, the main structure is assembled until the laminate structure shown in
As shown in
The world frame will never change while the body frame is rotating and transporting with respect to the foldable UAV. To change the coordinates of the foldable UAV from body frame to world frame, the coordinates are multiplied by the rotation matrix shown as follows:
In equation 5.1, ‘c’ represents ‘cos’ and ‘s’ represents ‘sin’. ‘ϕ’ is the roll angle, ‘θ’ is the pitch angle and ‘ψ’ is the yaw angle. All the angles are in body frame. They are several equilibrium equations that the foldable UAV needs to follow to remain stable in the air for hovering.
In equation 5.3, F1 to F4 are thrusts generated by each of the four rotors, rotor 1 and 3 are in main diagonal while 2 and 4 are in vice diagonal. ‘m’ is the total mass of the foldable UAV while ‘g’ is the gravitational acceleration constant. M1 to M4 are moments generated by each rotor. Under normal circumstances, rotor 1 and 3 rotates counterclockwise while 2 and 4 rotate clockwise.
While the foldable UAV is in a dynamically stable condition, it will need to satisfy several equations as follow:
In equation 5.4, L is the length of arm from the center of the foldable UAV to each of the rotor. ‘p’, ‘q’ and ‘r’ are the roll, pitch and yaw velocity of the frame. ‘I’ is the matrix of moment of inertia of the foldable UAV. Usually ‘I’ is an identity matrix with Ixx, Iyy and Izz elements on the main diagonal. Ixx equals to Iyy, and usually significantly smaller than Izz, therefore it is usually easy to control foldable UAV to roll and pitch but harder to yaw.
Equation 5.4 is nonlinear, which greatly increases the complexity and unnecessarily slow down the simulation speed which can be linearized as follows:
Ixx{dot over (p)}=u2−qr(Izz−Iyy) Eq. 5.5
Iyy{dot over (q)}=u3−pr(Ixx−Izz) Eq. 5.6
Izz{dot over (r)}=u4 Eq. 5.7
Here u2, u3, and u4 are torques of the foldable UAV and u1 is the net force on the z axis of the body frame. After linearizing the equations, equations 5.8 to 5.10 can be applied to obtain angular positions.
u2,des=kp,ϕ(ϕdes−ϕ)+kd,ϕ(pdes−p) Eq. 5.8
u3,des=kp,θ(θdes−θ)+kd,θ(qdes−q) Eq. 5.9
u4,des=kp,ψ(ψdes−ψ)+kd,ψ(rdes−r) Eq. 5.10
Another way of obtaining the desired angular positions is to use equation 5.11 as follow.
From equation 5.1 to 5.11, based on desired initial location and destination, the Simulation program shall be able to generate desired location and gesture of the foldable UAV at different time, and based on that, the Pixracer controller can send signal to control the rotors.
The rotors on the other hand, follow their own dynamic model when receiving signals from the Pixracer controller. The relation between thrust generated by the rotors and the rotation speed of the rotor is as shown in Equation 5.12, and relation between torque generated by the rotors and the rotation speed of the rotor is as shown in equation 5.13.
Fi=kFωi2 Eq. 5.12
Mi=kMωi2 Eq. 5.13
In equation 5.12 and 5.13, the two constants are measured from the rotors used in the experiment. The motors follow equation 5.14.
{dot over (ω)}i=km(ωides−ωi) Eq. 5.14
The total control loop of a foldable UAV is as shown in
Before applying simulation algorithm onto the platform, studying the simulation results and planning the process carefully can greatly reduce the chance of the foldable UAV to crash and achieve better control results.
The first simulation is to command the foldable UAV to do a quick linear transport between two 3D points using P control. The simulation is programmed using MATLAB and Simulink.
Firstly, input the initial locations and the destination location such that Simulink can generate trajectory according to the time line as shown in
Referring to
After obtaining the 3D trajectory, the next step is to apply equations 5.15 to obtain the angular velocity and acceleration through the timeline.
Once that have been done, the Pixracer controller will be able to send signal to control the brushless motor to achieve desired acceleration and velocity. The moment of inertia of the FUAV follow the equations as below:
Ixx=Iyy=(1.05×10−8 cos β−0.00631)√{square root over (0.0029−0.002 cos β)}−7.04×10−5 cos β+5.77×10−4 Eq. 5.16(a)
Izz=(2.1×10−8 cos β−0.0106)√{square root over (0.0029−0.002 cos β)}−1.47×10−4 cos β+0.0011 Eq. 5.16(b)
Finally comparing the desired trajectory with the simulation results can show whether the trajectory planning model is suitable for the current mechanism for the foldable UAV.
Other embodiments related to the present disclosure are contemplated. For example, in one embodiment, the foldable UAV 100 may be formed with a plurality of arms that have more than one degree of freedom. In some embodiments, an embodiment of the UAV 100 may include a foldable quad-rotor (FQR) design and associated system, based on, or inspired by a laminate origami structure configured for in-flight morphing. The FQR is configured to fold its arms during flight to enable aggressive turning maneuvers and operations in cluttered environments. A dynamic model of folding may be built for the FQR system with the collected data, and a feedback controller is designed to control the position and orientation of the FQR. Lyapunov stability analysis may be conducted to show that the system is stable during arm folding and extension, and motion planning of the FQR is achieved based on a modified minimum-snap trajectory generation method. This FQR structure may be made of a laser-cut cardboard, which significantly reduces the cost and shortens the fabrication time.
Referring to
One end of the thread may be mounted on the servo horn and the other end may be mounted on the motor block. When the servo motor rotates, the servo horn withdraws the threads and the motor blocks are pulled closer to the center of the FQR. When the servo motor reaches its maximum traveling distance and starts rotating in the opposite direction, because of the origami structure's spring effect, the arms will try to morph back to its original shape and the motor block will be pushed away from the center of the FQR.
To model and control the FQR, a world frame and a body frame may be generated as shown in
The arm length of the FQR is controlled by a MG996R servo motor. When working under a constant load, the servo motor will maintain a constant rotation speed, and as the load increases, the servo rotation speed will slow until stalling. To calculate the desired motor angle, we start with calculating the corresponding servo angle based on the geometry relationship in
Further, the FQR system uses the Layapunov stability method to prove that the FQR is stable and the error for both translational and rotational movement can converge. Because of the additional one degree of freedom of the FQR, the rotational dynamics of the FQR is different from a normal quad-rotor. The system modifies the moment input to account for the changing arm length in the attitude control loop.
In short, the origami-inspired FQR was developed using cardboard. With its arms extended or folded, the FQR may change the moment of inertia and ambient air flow velocity. A feedback controller was developed to guarantee stability with changing arm lengths, and the minimum snap trajectory generation approach was extended to plan the position, yaw angle, and the arm length.
It should be understood from the foregoing that, while particular embodiments have been illustrated and described, various modifications can be made thereto without departing from the spirit and scope of the invention as will be apparent to those skilled in the art. Such changes and modifications are within the scope and teachings of this invention as defined in the claims appended hereto.
This is a non-provisional application that claims benefit to U.S. provisional application Ser. No. 62/621,330, filed on Jan. 24, 2018, which is herein incorporated by reference in its entirety.
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Number | Date | Country | |
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20190225335 A1 | Jul 2019 | US |
Number | Date | Country | |
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62621330 | Jan 2018 | US |