模型降阶量化反馈控制

Reduced Order QFT Feedback Control

针对导引头稳定平台存在严重不确定性和干扰的工况,提出一种基于渐进稳定Hutton降阶算法与量化反馈控制(QFT)相结合的模型降阶量化反馈控制方法,利用QFT设计控制器满足多种性能指标(例如鲁棒稳定性能、跟踪性能、抗干扰性能等),采用Routh因子近似方法获得渐进稳定的降阶模型,便于工程实现。仿真结果表明,该算法对于模型和参数不确定性具有较好的鲁棒性,能满足导引头控制平台的需求。该方法相对于传统QFT设计方法更具有工程可行性。

In order to overcome the performance degradation of the seeker platform caused by the uncertainty and disturbance in the industry scenario, an reduced order QFT control method which combines asymptotical stable Hutton reduced order algorithm and QFT design method is proposed. In this method, the QFT is adopted to design the controller to satisfy all kinds of indexes （such as robustness index, tracking performance and disturbance rejection）, then the Routh factor approximate method is used to obtain a asymptotical reduced order model, which can reduce the order of the controller efficiently and is thus suitable for application. The simulation result demon- strates the robustness against both the model and parameters uncertainty, and the proposed method can satisfy all of the performance indexes of the seeker controller platform. Compared with the tra- ditional QFT method, it＇s convenient for project application.