基于粒子群算法的H_∞鲁棒控制器设计研究

Study of H_∞ Robust Controller Design Based on Particle Swarm Optimization

H∞鲁棒控制器的设计通常依赖于设计人员反复试凑权函数,不但耗费大量时间,而且控制系统的性能好坏取决于设计人员的经验。针对权函数的选取问题,提出了一种采用粒子群算法(PSO)优化权函数,进而优化H∞鲁棒控制器的设计流程;不仅优化了H∞鲁棒控制器的性能指标,而且减少了设计人员的重复劳动,加快了设计工作的进程。最后,以某地空导弹俯仰通道为例,设计了H∞鲁棒控制器。仿真结果表明:所设计的H∞鲁棒控制系统时域和频域特性良好,并具有较强的鲁棒性,能够克服动力学系数的不确定性。

H∞ robust controller design used to rely on the designers to select the weighting functions repeatedly,but it was a time-consuming work,and the performance of control system depends on the experience of designers.According to the case of selecting the weighting functions,the particle swarm optimization（PSO） is adopted to optimize the weight functions,and a new design process to optimize H∞ robust controller is proposed.In this way,the workloads of designers can be reduced greatly,and accelerate the design work.The design of H∞ robust controller and the digital simulation for the attitude control of a ground-to-air missile are given.The simulation results show that the designed system can overcome the uncertainty of kinetic coefficients with excellent time and frequency domain indexes.