A Control Of Fuzzy CCC Neural Net Based On ECA And Its Application In Boiler Control

This paper proposes a improved algorithm based on improving a CCC algorithm of fuzzy controller and testifies the superiority of the improved algorithm by theory analysis and simulation results ; The paper designs a Neural Net to actualize the improved CCC algorithm——Fuzzy CCC Neural Net, and then gives a learning algorithm; And Aimed at the limitation of genetic algorithm, the paper proposes a embedded co-evolutionary algorithm (ECA) and gives its mathematical model while giving the adaptive crossover and mutation in order to improve the efficiency of the algorithm. And combining the superiority of the global search ability of ECA and the better local search ability of BP algorithm, this paper proposes a control strategy of Fuzzy CCC Neural Net based on ECA. Because of characteristics of boiler water system and the disadvantage of traditional method, the control strategy was applied to a boiler water control system, and adopts a feedforward fuzzy control to resolve the"falsehood water level".And simulation results verify the availability and superiority of the proposed method.