關鍵詞：PID控制；神經網絡；PLC；單容水箱；MCGS
The PLC and Configuration Interface Design of Optimal PI Controller Parameters Based on Neural Network on Line
Abstract
PID control is the most widely used method of control in the process control by now, it can be used for compensation, to reach the majority of the request parameters. It is currently in the process control in the most common controller, and practice has proven PID control with simple structure, stable performance and high reliability, in particular fit with the establishment of precise mathematical model of uncertainty control system. But for the time varying, nonlinear systems, the traditional PID control is powerless. Optimal PID control based on neural network has self-learning, adaptive, self-organization's ability, and can adapt to the changes of process parameters. Because neural network optimal PID control strategy with both conventional PID and neural network with their respective advantages. Therefore the design of BP PI algorithm parameters online adjustments, in order to output value better tracking of a given value, can achieve better control results. Using of S7-200PLC language of the algorithm in actual system, and achieved in a single-capacity tank control system, meanwhile, using of MCGS for real-time monitoring. This configuration software can monitor more intuitive to control results and recording the change of real-time curve, and set up and control the parameters. Results show that the neural network PI parameter adjustment easily with very high precision and strong adaptability, and can get satisfied control results.
