综合定量反馈理论与特征结构配置的飞行控制系统优化设计

定量反馈理论(QFT)是一种新颖的频率域鲁棒控制技术,在N ichols图上开展分析与设计。针对大包线范围内系统模型变化大的特点,可采用QFT设计横航向控制器。由于QFT主要针对单输入单输出(SISO)系统进行分析,因此首先应采用特征结构配置(EA)理论将无人机的横航向模态进行近似解耦,将多输入多输出(M IMO)系统转化为SISO系统,再采用QFT进行控制系统设计。本文将两种控制方法结合起来,构成综合优化飞行控制方法,针对某型无人机包线范围内选取的18个状态点组成的控制对象模板进行控制设计,并进行非线性仿真。仿真结果表明设计的控制器使得无人机在全包线范围内具有较好的性能和鲁棒稳定性。

An Integrated QFT/EA Controller Design Method for a UAV's Lateral Flight Control System

Since a UAV′s characteristics can vary widely throughout its operational envelope,gain scheduling is often used for full envelope flight control system design.In this paper the quantitative feedback theory(QFT) is used to design a robust control law for a certain UAV′s lateral control system throughout the flight envelope.QFT is a frequency-domian robust-design technique for systems with uncertainties,which was initially devised to design controller for single-input single-output(SISO) system,while the lateral flight control system is an MIMO system;therefore,eigenstructure assignment(EA) is used to convert multi-input multi-output(MIMO) system into many SISO system.Finally,a QFT controller is designed for 18 flight states selected from the full envelope of a certain UAV.Simulation results show that robust stability and good performance is achieved by using the comprehensive QFT/EA controller throughout the full envolope.