摘要
ADRC对大时滞和强干扰系统的控制效果不佳,其静态参数机制是主要瓶颈。针对ADRC抗干扰涉及的3个参数,利用改进的PSO算法进行动态优化。为提高动态优化的计算速度,对PSO算法进行了2个改进:采用误差阈值触发启动PSO的伺服机制;PSO算法采用Pareto精英保留策略。仿真结果表明,动态优化的ADRC控制器对大时滞和强干扰系统具有较好的控制效果,具有更强的鲁棒性和控制精度。
The effect of ADRC on the control of long time-delay and strong interference system is poor. The key rea- son is the mechanism of static parameters. Aiming at its three main parameters related to interference rejection,an improved PSO algorithm-based on-line optimization method is proposed. In order to raise the efficiency of dynamic optimization,two improvements are applied in the PSO algorithm. The first one is using error threshold to trigger PSO as servo mechanism. The other is using the Pareto elitism strategy in the PSO algorithm. Simulation results show that the proposed PSO-based dynamic ADRC has strong robustness and adaptability for the systems with long time-delay and strong interference.
出处
《自动化与仪表》
2015年第9期60-63,共4页
Automation & Instrumentation
基金
湖南省科技厅工业支撑项目(2014GK3054)
湖南省教育厅资助项目(15C0930)
关键词
自抗扰控制
粒子群优化
大时滞系统
强干扰系统
active disturbances rejection control （ADRC）
particle swarm optimization （PSO）
long time-delay systems
strong interference system
