Design of Clustering Adaptive Fuzzy Controller of Drum Boiler Superheat Temperature Based on Genetic Algorithm

Based on the combination of clustering algorithm and fuzzy control, a kind of clustering adaptive fuzzy controller is designed and applied to the nonlinear big-lagged superheat temperature system of drum boiler. The subjection parameters of the fuzzy controller are optimized by improved genetic algorithm. The problem of nonlinear and time-delay for superheat temperature system is solved effectively. Simulation results show that the proposed project has satisfying control performance and further prospects for its engineering applications.