In this study, We proposed the fuzzy modeling method and designed a model-based fuzzy logic controller for Activated Sludge Process(A.S.P.) in sewage treatement.
The identification of the structure of fuzzy implications is carried out by use of fuz...
In this study, We proposed the fuzzy modeling method and designed a model-based fuzzy logic controller for Activated Sludge Process(A.S.P.) in sewage treatement.
The identification of the structure of fuzzy implications is carried out by use of fuzzy c-means clustering algorithm. And to identify the parameters of fuzzy implications, we used the complex and the least square method. To tune the premise parameters automatically the complex method is implemented.
The model-bused fuzzy controller is designed by rules generated from the identified A.S.P. fuzzy model. The feasibility of the proposed approach is evaluated through the idetification of the fuzzy model to describe an input-output relation of the A.S.P.. The performance of identified model-based fuzzy cant roller is evaluated through the computer simulations.