摘要
为了提高双闭环调速系统的性能,引入了一种非线性PI控制器(NPIC),其比例增益和积分增益可随误差自适应变化,并采用细菌觅食算法优化控制器参数。简单介绍了细菌觅食算法的基本原理,描述了细菌觅食算法优化非线性PI控制器的流程。为防止算法早熟收敛,引入了遗传交叉和群体灾变操作。
Aiming at improving the dynamic performance of double-loop motor control system, a nonlinear PI controller （NPIC） was employed, in which the proportional gain and integral gain could change with the error adaptively. The controller parameters were optimized by bacterial foraging algorithm （BFA）. The basic principle of BFA was introduced. The procedure of how BFA optimizes the nonlinear PI controller parameters was described.
出处
《煤矿机械》
北大核心
2010年第11期59-62,共4页
Coal Mine Machinery
基金
河南省自然科学基金资助(08230040090)
关键词
细菌觅食算法
非线性PI
双闭环调速系统
bacterial foraging algorithm
nonlinear PI controller
double-loop motor control system
