Research on PID tuning of servo-system based on Bacterial Foraging Algorithm

PID controller is one of the most widely used strategies in the field of control engineering, but it is difficult to achieve the effect that people expect by the conventional PID controllers. For a long time, researchers are working on the parameter tuning of PID technology, and propose a lot of algorithms. In this paper, we have studied an intelligent algorithm inspired by nature - the Bacterial Foraging Algorithm. Four benchmark functions are used to test this algorithm, and an analysis of the global search capability of this algorithm is made. Then,we apply this algorithm to a high-speed and high-precision servo system of fourth order model of PID parameter tuning. The tuning results compared with that of the standard genetic algorithm show that Bacterial Foraging Algorithm is effective in the problem of PID optimization and can be more precision.