關鍵詞： PI控制器；神經網絡BP算法；PLC
The PLC Realize of Optimal PI Controller Parameters on Line Base on BP Net
Abstract
At present the level of industrial automation has already become an important symbol, which is able to judge all trades modernized level. And now the conventional PID is a control method which is used widely in the industrial control. The routine PID controller has characteristic of the structure simplicity and the high of reliability. Combining the routine PI controller with BP neural networks, a new model of the PI controller that is able to self -learning of the new manpower neural networks is designed in this paper. Then the new model not only has the ability of self-learning neural network, adaptive arbitrary function approximation, but also has a characteristic of structure simple and high reliability in the conventional PID controller. Firstly this design built a object of single-tank process control system. Secondly the algorithm of PI controller parameters by optimization of BP neural networks on line is realized by PLC program in single-tank-testing process control devices. The results show that the algorithm of PI controller parameters by optimization of BP neural networks on line is better than the conventional PI controller. The adjusted time and the rise time is improved, and the algorithm is feasibility and effective.
Keywords：PID controller; BP Neural network algorithm; PLC
