A fuzzy-genetic approach for automatic tuning of a PID controller

A new method employing,fuzzy logic and genetic algorithm for automatic tuning of fa Proportional Integral Derivative (PID) controller is presented in this paper. The technique adopted here is based on the theory of dead-beat control. Fuzzy logic technique has been used here to predict the controller output and the crisp consequent values of the rulebase of the Takagi-Sugeno model are optimized using a genetic algorithm. The proposition is an extension of the work in (Bandyopadhyay, 2001) where the rulebase was prepared based on, the knowledge of process experts. Here significant improvement has been obtained using genetic algorithm by, optimizing the crisp consequent values of the rulebase. As can he seen from the simulated results, the method shows substantial improvement over the controller tuned with Ziegler-Nichols formula and the PID controller proposed in (Bandyopadhyay, 2001).