摘要
提出一个基于遗传算法的PID自适应控制系统。在连续系统辨识部分 ,设计了一种分层遗传算法 (HGA) ,完成对控制对象结构与参数的同步辨识 ;根据所获得的对象模型 ,在PID控制器参数设计部分 ,采用一种基于基因差异的实数编码遗传算法 (SAGA) ,并兼顾了控制系统的时域及频域要求。当控制对象发生变化时 ,由于借助HGA对模型进行及时修正并由SAGA对PID参数自适应优化调整 ,使系统能迅速稳定并处于优化的运行状态。
A PID self adaptive control system based on genetic algorithm is stated. To realize the synchronous recognition of the structure and parameters of the controlled object, ln the section of continuos system recognition a hierarchical genetic algorithm (HGA)is designed. ln accordance with the obtained model of object, in parameter design section of PID controller a gene difference based real number encoding self adaptive genetic algorithm(SAGA)is adopted.Consideration is given to both the requirements of time domain and frequency domain of the system. When controlled object varies, the system can be quickly put into stable and optimal operating status because the model is corrected on time by HGA and optimal PID parameters are self adaptively adjusted by SAGA.
出处
《自动化仪表》
CAS
北大核心
2002年第10期13-16,共4页
Process Automation Instrumentation
关键词
遗传算法
自适应控制
PID控制
模型辨识
Genetic algorithm Self adaptive control PID control Model recognition