PID Control Strategy for UAV Flight Control System based on Improved Genetic Algorithm Optimization

被引：0
|
作者：
Lin, Feng [1 ]
Duan, Haidong [1 ]
Qu, Xiaoguang [1 ]
机构：
[1] Shenyang Aerosp Univ, Automat Dept, Shenyang 110136, Peoples R China
来源：
26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC) | 2014年
关键词：
Improved genetic algorithm; PID controller; Flight control system Optimization; Simulation;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The design objectives of PID controller is to choose the reasonable parameters which can make the system meet the design requirements. Specific to the problem of the controller parameter optimization of flight control system, the classic tuning method of PID controller parameters is cumbersome and need repeating trial. What's more, the controller parameters cannot be guaranteed to be optimal. Therefore, in this paper, the genetic algorithm was introduced into the control problem of small unmanned aerial vehicle (UAV), namely, an improved genetic algorithm to optimize the controller parameters. And then the results obtained were compared with the conventional PID control method. Through MATLAB simulation, the results show that the optimization strategy can adjust the parameters of the flight control system effectively and have the advantage of fast convergence rate and high setting accuracy.
引用
收藏
页码：92 / 97
页数：6
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