Optimization of PI Controller Parameters Using Genetic Algorithm

Given the change of characteristic parameters of the control object, the deterioration will be produced in the dynamic response qualities of the main drive system of a hot finishing mill. The optimization of PI parameters of the speed controller in a two-loop control system was studied, which is adjusted by iterative genetic algorithm. The digital simulation results show the efficiency and rationality of the algorithm.