小型电加热反应器温度的模糊自适应整定PID控制

Fuzzy auto-tuning PID control of the temperature of a small electric-heating reactor

小型电加热反应器系统具有较大的纯滞后、惯性滞后、非线性和时变特性,参数固定不变的普通PID控制器难以进行精确温控。通过把操作人员积累的PID参数整定经验知识总结成模糊规则,利用模糊逻辑推理进行在线实时整定,设计了电加热反应器温度模糊自适应整定PID控制算法。通过Matlab与组态软件"组态王"KINGVIEW的动态数据交换,在Matlab上编程实现了模糊自适应整定PID控制算法。进行了一般情况下和具有较强非线性和时变特性情况下温度控制实验,实验结果表明,模糊自适应整定PID控制取得了比普通PID更好的控制结果,模糊自适应整定PID控制对过程非线性和时变特性具有更强的适应性。

Small electric-heating reactors are widely used in chemical experiments, fine and special chemical production processes. Because of their large time-delay, strong nonlinearity and time-varying properties, they are difficult to control accurately using the ordinary P1D controller with fixed PID parameters. By summarizing the PID tuning experience and knowledge of human operators into fuzzy tuning rules, a fuzzy auto-tuning PID （FA-PID） control algorithm was developed for the temperature control of a small electric-heating reactor using the fuzzy logical inference to tune PID parameters real-time on-line. The FA-PID control algorithm was successfully implemented in Matlab soRware using its M programming language, and integrated tightly with configuration software KINGVIEW through their dynamic data exchange （DDE） channel. The FA-PID control system was applied to the temperature control experiments of a small electric-heating reactor with strong nonlinear and time-varying properties, and it achieved much better control performance than the ordinary PID controller. It demonstrates that FA-PID has good adaptability to process changes.