基于干擾觀測(cè)器的三自由度模型直升機(jī)控制技術(shù)
[Abstract]:The helicopter flight control system is a typical multi-input and multi-output (MIMO) system. It has strong channel coupling and nonlinear characteristics. It is a more complex controlled object in the control engineering field. The experimental device can be used to verify all kinds of linear and nonlinear control methods and provide guidance for the research and development of helicopter flight control methods.In this paper, a three-degree-of-freedom model helicopter developed by Gu Hi-tech Co., Ltd. is used as the experimental platform, aiming at unknown external disturbances, modeling uncertainty, input saturation and output constraints. The main research contents are as follows: Firstly, according to the motion characteristics of the 3DOF model helicopter, the nonlinear mathematical model of the 3DOF model helicopter is studied, and the linear motion equation is obtained by linearization in the equilibrium state. A generalized proportional integral (GPI) controller based on disturbance observer is designed for a 3 DOF model helicopter with disturbance. The disturbance observer can effectively estimate the external disturbance. The design of the controller is simple and feasible, and the control parameters can be obtained directly by pole assignment. The results show that the designed controller has good tracking performance and robustness in the presence of external disturbances. The experimental results show that the designed GPI controller has better tracking performance than the traditional Proportion-Integral-Derivative (PID) controller and can effectively solve the problem of derivative in the traditional PID controller. Secondly, the inverse control method for a class of nonlinear systems with unknown disturbances and model uncertainties is studied and applied to the motion control of a 3D OF model helicopter. The Lyapunov method is used to prove the stability of the closed-loop system and the method is applied to the motion control of the pitch channel. The simulation results show that the controller can still guarantee the good tracking performance of the pitch channel in the presence of unknown disturbances and uncertainties. Secondly, considering the three-axis motion control problem of a nonlinear model helicopter with unknown disturbances and uncertainties, an augmented state observer based inverse control method is proposed. The whole system is divided into two subsystems and the augmented state observer is designed. The roll angle is used as the virtual control input of the yaw channel, and the auxiliary system is designed to compensate effectively the influence of input saturation of the yaw channel. The stability of the closed-loop system is proved by Lyapunov method. The simulation results show that the system has unknown external disturbances and the modeling is not correct. Finally, an observer-based inverse controller is designed for the motion control problem of a 3D OF model helicopter with unknown disturbances, uncertain modeling, input saturation and output constraints. The augmented state observer is used to process the system. The stability of the closed-loop system is proved by Lyapunov method. The simulation results show that the model is not established in the presence of unknown disturbances. It is determined that under the combined influence of input saturation and output constraints, the designed controller can ensure the satisfactory control effect of the whole closed-loop control system.
【學(xué)位授予單位】:南京航空航天大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2016
【分類號(hào)】:V275.1;V249.1
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