The Software of Auto-Tuning Parameters of PID Controller Based on Fuzzy Genetic Algorithm

摘要

The software of auto-tuning parameters of PID control is developed for industrial controller. The output response curve of control system is recognized, and the scopes of the controller parameters are given to meet expected control index by fuzzy tuning rules based on pattern recognition. The PID parameters are optimized by means of genetic algorithm based on the optimization function of over-shoot, decay rate and the integrated time and absolute error indicators of the system response. The tuning software is used in the semi-physical simulation system of steam power plant, and the result of performance shows that the tuning algorithm is effective and the software can be use in industrial PID controller.