基于切換策略的飛機(jī)蒙皮檢測機(jī)器人運(yùn)動(dòng)控制研究
[Abstract]:With the rapid development of China's aviation industry, aircraft has been closely related to everyone's life, so the safety risks caused by surface damage of aircraft skin have attracted much attention. However, manual inspection is still used in the detection of aircraft skin, which has many problems, such as high labor intensity, low detection efficiency, high rate of missing detection and high cost. In addition, it can not completely guarantee the operation safety of aircraft maintenance personnel. In this paper, aiming at the stable gait movement of a double-frame aircraft skin detection robot on the plane surface, the switching strategy and motion trajectory control of the double-frame aircraft skin detection robot are studied. Firstly, the mechanical structure of a vacuum adsorbed double-frame aircraft skin detection robot is introduced, and the moving gait on the surface of the aircraft skin is analyzed. In this paper, two switching strategies, rigid switching and flexible switching, are described, and the dynamic model of the robot is established according to the force analysis of the detection robot on the surface of the aircraft skin. Secondly, according to the characteristics of the robot, an event-driven switching strategy is designed. An adaptive controller based on support vector regression is studied for nonlinear robot systems. The upper bound of disturbance is used to design auxiliary variables to estimate the external disturbances in the system. Simulation results show that the proposed adaptive control law based on support vector regression can guarantee the trajectory tracking and robustness of robot systems with unknown disturbances. Then, the switching system is used to describe the whole attitude change of the aircraft skin detection robot. Aiming at the switching system model, the trajectory tracking control method of the robot is studied by using the Backstepping method. The closed-loop stability of the switching system is proved by common Lyapunov function. When there is unknown disturbance in switched systems, the Nussbaum disturbance observer is used to estimate effectively, and the performance of nonlinear disturbance observer and Nussbaum disturbance observer based on Super-twisting algorithm is compared with that of Nussbaum disturbance observer. The closed-loop stability of the switching system is proved by the mean dwell time method. The simulation results show that the controller can guarantee the stability of the robot switching system motion control under the action of unknown disturbance. Then, the motion control method of aircraft skin detection robot with limited input, external interference and unknown parameters is studied. Aiming at the problem of input limitation in robot system, the hyperbolic tangent function is used to transform the saturated input into smooth control input. Combined with the Backstepping control method, the new subsystem can effectively suppress the influence of input restriction on the system. Aiming at the external disturbance and unknown parameters of robot system, the Nussbaum disturbance observer is designed and the closed-loop stability of the switched system is proved by using Lyapunov function. The simulation results show that the controller is effective. Finally, the motion control experiment of the aircraft skin detection robot is carried out. The robot is adsorbed on the plane and the oblique plane respectively. Based on the experimental analysis of rigid switching and flexible switching, the reliability and stability of the robot switching system are verified.
【學(xué)位授予單位】:南京航空航天大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TP242
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