A new adaptive Mamdani-type fuzzy modeling strategy for industrial gas turbines

Zhang, Yu and Chen, Jun and Bingham, Chris and Mahfouf, Mahdi (2014) A new adaptive Mamdani-type fuzzy modeling strategy for industrial gas turbines. In: 2014 IEEE International Conference on Fuzzy Systems, 6-11 July, 2014, Beijing, China.

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Abstract

The paper presents a new system identification methodology for industrial systems. Using the original Mamdani fuzzy rule based system (FRBS), an adaptive Mamdani fuzzy modeling (AMFM) is introduced in this paper. It differs from the original Mamdani FRBS in that it applies different membership functions and a defuzzification mechanism that is ‘differentiable’ with respect to the membership function parameters. The proposed system also includes a back error propagation (BEP) algorithm that is used to refine the fuzzy model. The efficacy of the proposed AMFM approach is demonstrated through the experimental trails from a compressor in an industrial gas turbine system.

Keywords:back error propagation, industrial gas turbine system
Subjects:H Engineering > H660 Control Systems
Divisions:College of Science > School of Engineering
ID Code:14702
Deposited On:19 Aug 2014 09:54

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