Tuning and analysis of a fuzzy PI controller based on gain and phase margins

Please use this identifier to cite or link to this item: https://doi.org/10.1109/3468.709617

Title:	Tuning and analysis of a fuzzy PI controller based on gain and phase margins
Authors:	Xu, J.-X. Pok, Y.-M. Liu, C. Hang, C.-C.
Keywords:	Controller tuning Fuzzy control Fuzzy inference Gain margin Phase margin PI control
Issue Date:	1998
Citation:	Xu, J.-X., Pok, Y.-M., Liu, C., Hang, C.-C. (1998). Tuning and analysis of a fuzzy PI controller based on gain and phase margins. IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans. 28 (5) : 685-691. ScholarBank@NUS Repository. https://doi.org/10.1109/3468.709617
Abstract:	In this paper, the nonlinearity of the simplest fuzzy PI controller with different inference methods has been discussed and it shows that Mamdani's minimum inference method is the most general inference method for the fuzzy PI controller. In addition, a novel tuning method based on gain and phase margins has been proposed to determine the weighting coefficients of the fuzzy PI controllers. With the proposed tuning formula, the nature of the fuzzy PI controller has been analyzed and it shows the desired characteristics in terms of gain and phase margins when controlling linear plants. Numerical simulations are presented to show the validity of the proposed tuning method. © 1998 IEEE.
Source Title:	IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans.
URI:	http://scholarbank.nus.edu.sg/handle/10635/62896
ISSN:	10834427
DOI:	10.1109/3468.709617
Appears in Collections:	Staff Publications

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