期刊
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
卷 106, 期 2, 页码 -出版社
SPRINGER
DOI: 10.1007/s10846-022-01740-y
关键词
Morphing wings; UAV; Flight control; MPC; Finite element; Dynamic modeling
This study focuses on the dynamic modeling and control of a small unmanned aerial vehicle (UAV) with active morphing wings. A multi-input multi-output (MIMO) control system using model predictive control (MPC) is designed to achieve specific flight maneuvering and track desired trajectories. The control system successfully rejects disturbances and exhibits acceptable behavior in pitch and roll angles.
In recent research works, morphing wings were studied as an interesting field for a small unmanned aerial vehicle (UAV). The previous studies either focused on selecting suitable material for the morphing wings or performing experimental tests on UAVs with morphing wings. Though, the dynamic modeling of active flexible morphing wings and their involved interactions with the aerodynamics of the UAV body are challenging subjects. Using such a model to control a small UAV to perform specific maneuvering is not investigated yet. The dynamic model of UAV with active morphing wings generates a multi-input multi-output (MIMO) system which rises the difficulty of the control system design. In this paper, the aeroelastic dynamic model of morphing wing activated by piezocomposite actuators is established using the finite element method and modal decomposition technique. Then, the dynamic model of the UAV is developed taking into consideration the coupling between the wing and piezocomposite actuators, as well as the dynamic properties of the morphing actuators with the aerodynamic wind disturbances. A model predictive control (MPC) is designed for the MIMO control system to perform specific flight maneuvering by tracking desired trajectories of UAV altitude and yaw angle. Additionally, the MPC achieves constrained behavior of pitch and roll angles to get satisfactory UAV motion. Also, the behaviors of the UAV control system using MPC are evaluated after adding Dryden wind turbulence to the UAV outputs. Finally, a UAV flight simulation is conducted which shows that the control system successfully rejects the applied disturbances and tracks the reference trajectories with acceptable behavior of pitch and roll angles.
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