A developed method of tuning PID controllers with fuzzy rules for integrating processes

The proportional integral derivative (PID) controllers are widely applied in industrial process, and the tuning method of PID controller parameters is still a hot research area. A fuzzy tuning scheme for PID controller settings is developed for integrator plus time delay processes in this paper, in which a fuzzy rule base reasoning method are utilized on-line to determine a tuning parameter /spl alpha/ based on the error and the first change of the error of the process. Then this tuning parameter /spl alpha/ is used to calculate the PID controller parameters. Computer simulations are performed for an example of integrating plants. Comparing to some reported methods, the performance of the presented approach is shown to be satisfying.