Research on simulation and implementation of single neuron PID control
The classical PID control parameter tuning method is cumbersome and easy to cause dam-age to the equipment.In addition,when the system object has nonlinear,environmental changes or other factors,the stability and response speed of the system will be affected to some extent.In order to solve these problems,this paper introduces the combination of neural network and PID control method,the control object is selected two-capacity water tank,the system is simulated and compared several times,and then the neural network control simulation parameter setting method is proposed,and then the neural network PID control algorithm is applied to the actual control system.The experiment proves that this in-novative scheme not only solves the problems of PID control method,but also finds a low-cost upgrade scheme,which provides important technical support for the control system.
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维普
