Fuzzy PID controller design using self adaptive bacterial foraging optimization

In this paper, we propose a self adaptive bacterial foraging optimization (SA-BFO) approach to update the proportional, integral, and derivative (PID) parameters which are optimized for estimating the fuzzy PID controller performance. In order to reduce or remove the steady state error of conventional controller, so we employ the fuzzy interference structure to adjust the PID controller gains and SA-BFO for improving it. From the simulated results show that the proposed approach has better performance compared with genetic algorithm (GA) and BFO approaches.