基于粒子群算法的自动着陆非线性PID控制器  

A Nonlinear PID Automatic Landing Controller Based on PSO

作　　者：李翔[1] 曲小宇[1] 袁麟博[1] 

机构地区：[1]西北工业大学自动化学院,陕西西安710072

出　　处：《计算机仿真》2009年第10期73-76,共4页Computer Simulation

摘　　要：针对线性PID控制器在自动着陆控制中难以达到满意的控制效果的缺点,在分析各增益参数与偏差信号之间非线性关系的基础上,设计了一种P/I/D各部分参数根据控制与误差之间的调节规律连续变化的非线性PID控制器。为了选择合适的非线性PID控制器的权系数,利用粒子群算法对其各参数进行寻优整定。针对某型飞机自动着陆系统,给出了设计的一般步骤。仿真结果表明,与线性PID控制器相比,设计的非线性PID控制器能更准确地跟踪期望轨迹并满足着陆指标的要求,并具有良好的动态品质。It is difficult to design a linear PID controller with satisfactory quality, which is used in automatic landing system. To solve the problem, a nonlinear PID controller whose parameters change according to the regulation laws between control signal and the error is designed, based on the analysis of the nonlinear relationship between each gain parameter and error. In order to settle the suitable weight parameters of nonlinear PID controller, particle swarm optimization （PSO） is used for optimizing the parameters. For automatic landing system of an aircraft, the general steps of design were proposed. The simulation results showed that, comparing with the linear PID control, the designed nonlinear PID controller could make airplane properly follow the expected landing trace, and has a better dynamic quality.

关 键 词：粒子群算法 非线性控制器 自动着陆系统 参数优化 

分 类 号：V271.4[航空宇航科学与技术—飞行器设计]