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http://dx.doi.org/10.5391/JKIIS.2005.15.1.024

Design of Neuro-Fuzzy Controller using Relative Gain Matrix  

Seo Sam-Jun (안양대학교 전기전자공학과)
Kim Dongwon (고려대학교 전기공학과)
Park Gwi-Tae (고려대학교 전기공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.15, no.1, 2005 , pp. 24-29 More about this Journal
Abstract
In the fuzzy control for the multi-variable system, it is difficult to obtain the fuzzy rule. Therefore, the parallel structure of the independent single input-single output fuzzy controller using a pairing between the input and output variable is applied to the multi-variable system. However, among the input/output variables which arc not paired the interactive effects should be taken into account. these mutual coupling of variables affect the control performance. Therefore, for the control system with a strong coupling property, the control performance is sometimes lowered. In this paper, the effect of mutual coupling of variables is considered by the introduction of a neuro-fuzzy controller using relative gain matrix. This proposed neuro-fuzzy controller automatically adjusts the mutual coupling weight between variables using a neural network which is realized by back-propagation algorithm. The good performance of the proposed nero-fuzzy controller is verified through computer simulations on 200MW boiler systems.
Keywords
fuzzy system; neural network; neuro-fuzzy control; relative gain matrix;
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  • Reference
1 P. Grosdiclier and M. Morari, 'Closed-loop Properties from Steady-state Gain Information,' lndustial and Engineering Chemistry Fundamentals, vol. 24, pp. 221-235, 1985   DOI
2 Li-Xin Wang, 'A course in fuzzy systems and control,' Prentice Hall, 1997
3 K. S. Ray and D. D. Majumder, 'Fuzzy Logic Control of A Nonlinear Multivariable Steam Generating Unit Using Decoupling Theory,' IEEE Trans SMC, vol. 15, no. 4, pp. 539-558, 1985
4 H. K. Nam, 'Modeling and Control System Design of A Coal-Fired Power Plant,' Ph.D dissertation, Univ. of Texas at Austin, 1986
5 이성환, 우천희, 강신준, 주영훈, '발전용 보일러 시스템을 위한 퍼지 제어기의 지능형 환산계수 동조기법에 관한 비교 연구,' 대한전기학회 논문지, 제 46권, 10호, pp. 509-520, 1997
6 정호성, 황현준, 황창선, '퍼지 제어기를 이용한 다변수 모델 추종 보일러-터빈 제어시스템의 설계,' 대한전기학회 논문지, 제 46권, 7호, pp. 1074-1083, 1997
7 조경완, 김상우, '보일러-터빈 시스템을 위한 뉴러퍼지 지능제어기 설계,' 대한전기학회 하계 학술대회 논문집 B, pp. 474-476, 1998