Genetic and Fuzzy Fusion Algorithm for Coal-feeding Optimal Control of Coal-fired Power Plant

Aiming at the problems of strong parameter dependence and low flexibility of cascade PID control for coal-feeding system of coal-fired power plant. Genetic and fuzzy fusion algorithm is proposed. First, the traditional coal-feeding system is modeled by a PID-PID system, and then the system uses fuzzy PID-PID cascade control and fuzzy-fuzzy PID cascade control respectively. By comparison, the overshoot is reduced by 8.14%, 17.79%. Then on the basis of fuzzy PID-PID cascade control, the genetic algorithm is used to further optimize the parameters of fuzzy control. The results show that the response time of the fuzzy control method based on genetic algorithm is significantly shortened, the amount of overshoot dropped sharply to 11.53%.