A Modified T-S Model Fuzzy Adaptive Control Method Applying in the Biological Fluidized Bed System

In order to overcome the shortcomings of the nonlinear, time-delay and time-varying problems in the sewage treatment system based on biological fluidized bed (BFB), a modified T-S model fuzzy adaptive control system based on genetic algorithm (GA) is proposed. 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. Experimental results show that the method is feasible and effective.