Genetic taboo hybrid strategy for PID regulator parameter adaptation in belt conveyor

In this paper, a genetic taboo hybrid strategy for PID regulator parameter adaptation is proposed for the belt conveyor driving system. The strategy combines the global search ability of genetic algorithm with the neighborhood search approach of taboo search to find the optimal parameters of the PID regulator in the direct torque control system for mining haulage. Simulation and experiment results show that the genetic taboo hybrid strategy is of better performance than the pure genetic algorithm, because it has the advantage of the small search space and high search speed duo to avoiding of the "premature" problem by means of taboo mutation.