基于PLC的神经网络PID控制器设计

The Design of the Neural Network of PID Based on PLC

为了改善工业控制系统的动态调节品质,运用BP神经网络控制算法设计了一种神经网络PID控制器,并给出了基于西门子PLC的神经网络PID控制器的实现方法,仿真和实验结果表明,控制器在改善工业控制系统动态行为上具有突出的优势,对工程应用有实用价值。

In order to improve the dynamic regulating quality of Industry control system, this paper designs a new Neural network con- troller by using the BP Neural network rules of hydraulic Industry control system. And introduces the corresponding method of the Neural network controller based on SIEMENS PLC, The results of the simulation and the practical test shows that this model has the advantage of improving dynamic regulating quality of Industry control system. It can be practical value of engineering application.