Technique Of Intelligent PID Control And Instrument Realizing Of Fuzzy Control

As a plant of nonlinearity, long time delay and the precise mathematic model that is hard to establish in the Industrial Control, Intelligent Control is a valid control method. Fuzzy PID Control, Neural Network PID Control and the Fuzzy Control Instrument Realization based on PLC are studied in the paper.PID Control is one of the common control methods. Its advantages and disadvantages are analyzed in the paper and two tuning methods of kp, ki, kd are studied in the thesis.Neural Network Control is one form of Intelligent Control. It does not rely on the precise mathematic model and has the ability of adaption and auto-study. The optimization control of PID based on BP network is discussed in this paper. Optimizing the PID parameters (kp, ki, kd) with BP network, three parameters of PID can be trained and gotten by the BP Network. BP-PID Control based on a software plant of two-order time delay system is realized in the thesis.Fuzzy Control, which imitates the abilities of illation and decision, is another form of Intelligent Control. Fuzzy Control and its Instrument Realization are studied in the paper. Compared with the traditional PID Control by simulation, Fuzzy Control behaves better than traditional PID Control in many aspects of the control qualities. And Fuzzy-PID Control is simulated. The numerical test results show that this method has good control effects. At the end of the thesis, Fuzzy Control is realized in the Siemens S7-300 PLC automatic platform. The results of Instrument Realization show that, compared with the traditional PID Control, the output response of Fuzzy Control has smaller tuning time and faster stability and its control quality is better than the traditional PID control.