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基于粒子群优化算法的自抗扰控制器设计
Auto-disturbance-rejection Controller Design Based on Particle Swarm Optimization Algorithm
【摘要】 针对自抗扰控制器参数难以整定的问题,提出了基于粒子群优化算法的自抗扰控制器优化设计方法。该设计方法的实质就是选择合适的适应度函数,利用粒子群优化方法对自抗扰控制器的可调参数进行优化。设计方法运算简单,易于实现。对某炮控伺服系统的仿真研究表明,这种方法是可行的。
【Abstract】 A novel design method for the auto-disturbance-rejection controllers(ADRC)was proposed to deal with the difficulty in the parameter regulation of the ADRC.The particle swarm optimization(PSO)algorithms were employed in this method and the optimal ADRC parameters could be founded automatically to make the selected fitness function minimized. This proposed approach has superior features,including good computational efficiency and easy implementation.Simulation results of a certain gun servo system indicate that the optimal design method is feasible.
【关键词】 自抗扰控制;
粒子群优化;
伺服系统;
参数优化;
【Key words】 auto-disturbance-rejection control; particle swarm optimization; servo systems; parameter optimization;
【Key words】 auto-disturbance-rejection control; particle swarm optimization; servo systems; parameter optimization;
- 【文献出处】 系统仿真学报 ,Journal of System Simulation , 编辑部邮箱 ,2008年02期
- 【分类号】TP21
- 【被引频次】91
- 【下载频次】1170