基于离散误差扩张系统的舰载机着舰最优控制

舰载机着舰对控制系统的响应能力、鲁棒性能等要求很高。已有文献未考虑着舰控制的离散采样等问题,而实际上离散采样对系统的控制性能影响较大。本文对离散线性系统进行了误差状态量的扩张,建立误差系统,并用于离散采样下的着舰最优控制器设计。仿真结果显示,系统在初始高度偏差纠正、舰尾流抑制、抗模型摄动等方面的控制效果很好,并且其稳态精度、动态特性和鲁棒性能都远强于PID控制。着舰反区效应和升降舵直接力效应,会各自让舰载机动力学有2个非最小相位零点,最优控制方法能消除这2个零点,而PID控制只能消除前一个零点。

Sampling Optimal Control Based on Discrete Error Expanded System for Carrier Landing

Requirements on the response ability and robust performance of carrier-based aircraft landing control system are very high.The existing literature has not considered the discrete sampling of carrier landing control,but in fact the discrete sampling has a great influence on the control performance of the system.In this paper,the error state of the discrete linear system is expanded,and the controller is obtained from the error expanded system.This method is used to design the landing continuous dynamics optimal controller under sampling.The simulation results show that the system has good control effect on initial height deviation correction,air wake suppression and model perturbation suppression.And its steady-state accuracy,dynamic performance and robustness are much stronger than the carrier landing engineering PID control,even though PID control has no sampling in simulation.The backside area of landing drag curve and the direct force effect of the elevator will each cause two non-minimum phase zeros for the aircraft dynamics.The sampling optimal control method can eliminate the two zero points,while the PID control can only eliminate the former zero point.