粒子群算法的舰载机块对角控制器参数优化设计

Block Diagonal Controller Parameters Optimization for Carrier Aircraft Based on Particle Swarm Optimization

在块对角控制系统中,采用解析逆解等思想使控制器设计具有很多的优点,但是该控制器存在参数较多且难以优化选取的问题。文中提出了一种基于粒子群算法的纵向块对角控制器参数优化方法,进行了原理分析及数值仿真。结果表明,该方法可以较好地寻优纵向块对角控制器参数,实现舰载机跟踪理想轨迹准确着舰。

There are many strongpoints in the Longitudinal Block Diagonal Control system because it adopts parsing dissolution. However controller has problems of more parameters and difficult optimizing choice by experience. In this paper, a project was proposed that controller parameters were optimized by particle swarm optimization （PSO）, and it was being principle analysis and simulation of numerical value. The results demonstrate this project can automatic optimize controller parameters, and it achieves precision path tracking when carrier landing of the carrier aircraft.