Abstract
In the industrial process, there is a type of production load that changes with the process and the environment control system. In this paper, an adaptive fuzzy PID algorithm control scheme was proposed and verified when we took the heat exchanger as an example. We have analyzed the problems existing in the dynamic adjustment process of fixed parameter mechanism adopted by traditional incremental PID under complex working conditions, and studied a control scheme combining adaptive fuzzy controller with traditional PID controller. Based on the PCS7 (one advanced process control system designed by SIEMENS), we designed two control loops. One is traditional PID and another is adaptive fuzzy PID. After that the control system proposed was simulated on an advanced process control system named SMPT-1000. To find out the performance of the adaptive fuzzy controller, one experiment by using three conditions, normal control, disturbance control and load change control, has been carried out. The results show that the adaptive fuzzy PID controller has excellent performance and robustness compared with the traditional PID and the fuzzy controller is especially suitable for complex time-delay systems.
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