Fuzzy PID controller for 2D differential geometric guidance and control problem

作     者：Li, C.-Y. Jing, W.-X. 

作者机构：Harbin Inst Technol Dept Aerosp Engn Harbin 150006 Peoples R China 

出 版 物：《IET CONTROL THEORY AND APPLICATIONS》 (IET Control Theory Appl.)

年 卷 期：2007年第1卷第3期

页      面：564-571页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0804[工学-仪器科学与技术] 0811[工学-控制科学与工程] 

主　　题：ANGLE OF ATTACK missile defence control systems DIESEL GENERATOR Flight control systems stabilization system Proportional derivative control fuzzy inference system controller design Guidance Stability criteria Proportional integral derivative Genetic Algorithm (GA) 

摘      要：A fuzzy set-point weighting proportional-integral-derivative (PID) controller is applied in the development of the flight control system for a two-dimensional differential geometric (DG) guidance and control system, whose function is to guarantee the achieved angle of attack (AOA) and track the commanded AOA efficiently. In particular, a Lyapunov stability criterion is introduced to study the relation between the stability and the output of the fuzzy inference system, and a genetic algorithm is utilised to tune the PID gains in the simulations so as to show the full potentiality of the proposed control scheme. The results demonstrate that the designed controller yields a fast-responding and stable system that is robust to parameter variations. Moreover, the DG guidance law is viable and effective in a realistic missile defence engagement.