A Modified T-S Model Fuzzy Adaptive Control System Based on Genetic Algorithm
Автор: Xiaofeng. Lian, Zaiwen. Liu, Zhanguo. Wang
Журнал: International Journal of Information Technology and Computer Science(IJITCS) @ijitcs
Статья в выпуске: 3 Vol. 3, 2011 года.
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According to the characteristics of the nonlinear,long time-delays and time-variation in the MSG wastewater treatment system based on three-phase fluidized bed bioreactor(FBBR),amodified T-S model fuzzy adaptive control system based on genetic algorithm(GA)is presented in this paper.In the system,firstly using GA to optimize the membership functions,then reducing the dimension of fuzzy controller and simplifying the rules by an integral unit. Moreover, adopt a prediction method to compensate the time-delay of system, which based on the theory of fuzzy. Finally, the method is verified by experiments.Simulation experimental results show that the method is feasible and effective, which provides an effective approach to solve the problem of process control with long time-delays,large inertia and time-variation.
T-S Model, Fuzzy Control, Fuzzy Prediction, Genetic Algorithm, Wastewater
Короткий адрес: https://sciup.org/15011620
IDR: 15011620
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