Title :
A Modified T-S Model Fuzzy Adaptive Control Method Applying in the Biological Fluidized Bed System
Author :
Lian, Xiaofeng ; Liu, Zaiwen ; Wang, Zhanguo ; Zuo, Min
Author_Institution :
Coll. of Comput. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
Abstract :
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.
Keywords :
adaptive control; bioreactors; compensation; delays; fluidised beds; fuzzy control; genetic algorithms; sewage treatment; biological fluidized bed; genetic algorithm; integral unit; modified T-S model fuzzy adaptive control system; prediction method; sewage treatment system; time delay compensation; time varying problem; Adaptation model; Adaptive control; Control systems; Fuzzy control; Gallium; Process control; Sewage treatment;
Conference_Titel :
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7939-9
Electronic_ISBN :
2156-7379
DOI :
10.1109/ICIECS.2010.5677634
