基于RBF网络PID控制的风机泵节能研究

Research on the controlling method of fan and pump energy saving based on RBF neuro network PID

传统的PID控制不能满足风机泵出口压力不断变化不断修正的特性的控制要求,为此引入RBF神经网络,使训练产生一组最佳的P、I、D值,经过理论分析和实验对比证明,此方法引入风机泵节能系统中是可行的。

To meet the controlling requirement of the fan and pump pressure varied by times,a RBF neuro network PID control strategy was propsed.it can speed up the network convergence speed and avoid falling into local minimum point.by training the network to make the parements P,I,D arrived optimal.For that purpose,a model is set up and simulated,the result it given is satisfactory and promising.