运用灰色预测与模糊加权PID的反应釜温度控制

Reactor Temperature Control Based on Grey Prediction and Fuzzy Weighted PID

为了克服反应釜温度控制的滞后性以及弱跟随性问题,并提高温度控制精度和控制效果,在传统PID算法中加入比例设定值权重,在此基础上加入模糊控制,通过模糊规则在线调整加权PID的比例系数和比例设定值权重,以此来加强温度控制的跟随性。在反馈回路中加入灰色预测模型,通过对未来时刻温度进行预测而给出超前的控制作用,以此来削弱反应釜的滞后性。结果表明:该控制方式相比传统PID控制具有更好的响应速度和稳态精度,并且超调量更小。最终应用于油墨反应温度控制中,控制效果得到了明显的改善。

In order to overcome the hysteresis and weak following ability of temperature control in reactor and improve the temperature control accuracy and control effect,in the traditional PID algorithm the weight in the proportional set value was added.On this basis,the fuzzy control was added,and the weighted PID proportional coefficient and the proportional set value weight were adjusted online by the fuzzy rule to enhance the temperature followability.A gray prediction model was added to the feedback loop to give an advanced control effect by predicting the temperature at a future time,thereby weakening the hysteresis of the reactor.The results show that this control method has better response speed and steady-state accuracy than the conventional PID control,and the overshoot is smaller.Finally,it is applied to the ink reaction temperature control,and the control effect is obviously improved.