Knowledge base expert system for tuning PID controllers using wireless technology

PID controllers are widely used to control the industrial plants because of their robustness and simple structures. Tuning of the controllerpsilas parameters to get a desired response is difficult and time consuming. The main purpose of this paper is to sue wireless technology and design a Knowledge Based expert system to tune the parameters of the PID controller without using any mathematical model of the plant. The designed expert system uses pattern recognition techniques to tune the parameters of the controller, as a human expert does. The expert system uses input output to and from the plant under control, using wireless technology. The expert system uses a number of tuning rules to change the parameters of the controller based on the shape of the closed-loop step response to get a desired performance, which has been set by the control engineer. The developed expert system is able to tune the parameters of the controller for fixed, time-varying, time-delayed and noisy plants. The performance of the expert system has been examined using a laboratory ri.