摘要
以典型的卷绕张力系统为研究对象,结合模糊自适应PID控制与遗传算法,设计了基于遗传算法的模糊自适应PID张力控制器。该控制器由离线和在线两部分组成,离线部分利用遗传算法搜索出一组最优的PID参数作为在线调节的初始值,在线部分用来实时调整系统响应的PID参数。仿真结果表明,采用的模糊自适应PID控制策略较传统PID控制器具有响应速度快、控制输出稳定、抗干扰能力强、鲁棒性好等优点。
With typical winding tension system as researching object, by combining fuzzy adaptive PID control and generic algorithm, the fuzzy adaptive PID tension controller based on generic algorithm has been designed. The controller is composed of two parts, the off line one and the on line one. With generic algorithm, the off line part searches the optimal PID parameters for using as the initial regulation of the online part ; the online part adjusts the PID parameters in real time to response the system. The result of simulation shows that the fuzzy adaptive PID control strategy features faster response speed, more stable control output, higher anti-interference capability and robustness than those of traditional PID controller.
出处
《自动化仪表》
CAS
北大核心
2013年第7期82-85,共4页
Process Automation Instrumentation
