摘要
电动执行器的系统控制方案研究在近年有较大进展。传统控制方案基于PID的控制策略易于在通常的实际控制系统中实现,但对于控制系统复杂程度较高的场合,传统控制方法已不能适应系统鲁棒性和实时性的要求。为解决此问题,提出基于模糊自适应PID的执行器系统智能控制方案。实验结果表明,新方案有较好的动态表现以及较快的响应,并且具有较高的调节准确度,能够实现PID参数的在线自调整,实时性更好,控制精度和鲁棒性更高,参数计算负荷小,设计方法易于实现。
Recently,great progress has been made in the research of system control scheme of electric actuator.The PID-based control strategy of the traditional control scheme is easy to be realized in the common practical control system,but the traditional method can no longer meet the requirements of system robustness and real-time when the control system is complex.To solve the problem,an intelligent control scheme of actuator system based on fuzzy adaptive PID is proposed.Experimental results show that the new scheme has better dynamic performance and faster response,as well as higher adjustment accuracy,which can realize on-line self-adjustment of PID parameters,with better real-time,higher control accuracy and robustness and less parameter calculation load,and the design method is easy to realize.
作者
李伟华
LI Weihua(Suzhou Bonray Measurement&Control Equipment Co.,Ltd,Suzhou 215143,China)
出处
《微处理机》
2021年第2期58-61,共4页
Microprocessors
关键词
模糊控制
自适应
PID控制
智能控制
Electric actuator
Fuzzy control
Self-adaptation
PID control
Intelligent control