模糊参数自整定PID控制器的设计与仿真研究

Design and simulation study of fuzzy parameter self-tuning PID controller

为实现PID参数的自动整定,在PID控制和模糊控制的基础上,设计了一种用于某型热像仪分子筛激活机中恒温炉温控系统的模糊参数自整定PID控制器,它基于PID参数的优化规律利用模糊控制规则对PID参数进行在线的自动整定。与常规PID温控系统比较,该控制器的系统超调量明显减小,控制系统的动静态性能均得到改善,升温速度和目标温度控制精度超过了设计指标,且结构简单、计算量小。系统仿真验证了该设计的有效性与实用价值。

The selection of PID parameters has direct effect on the controller performance and the man-work tuning needs much experience and skills, and plenty of time as well. In order to realize the PID parameter self-tuning, a fuzzy self-tuning PID controller which follows the PID parameters optimizing laws, and uses fuzzy logics to do automatic on-line tuning of PID parameters was designed for the temperature control system of a molecular sieve activating device based on PID control and fuzzy control. In comparison with conventional PID temperature control system, this temperature control system features high control precision, good adaptability, simple structure and less computation. The simulation shows its validity and practicability.