An Approach to Optimization of Takagi-Sugeno Type Fuzzy Regulator Parameters by Genetic Algorithm from Mamdani Regulation Surface


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Many scientific papers deals with the usage of fuzzy rules to implement PID control. Fuzzy models, especially the Takagi-Sugeno-type, have received significant attention from various fields of interest. It is very often very difficult to determine all the parameters of the Takagi-Sugeno-type controller. In this paper we present optimization of Takagi-Sugeno-type fuzzy regulator parameters by genetic algorithm. Implementation of universal fuzzy P/PS/PD function block implemented to the PLC Simatic S7 300/400 is introduced. Mamdani model is used as comparative model. Parameters of Takagi-Sugeno-type fuzzy regulator are determined by genetic algorithm optimization from comparative regulation surface.



Edited by:

Xiong Zhou and Honghua Tan






J. Kocian et al., "An Approach to Optimization of Takagi-Sugeno Type Fuzzy Regulator Parameters by Genetic Algorithm from Mamdani Regulation Surface", Applied Mechanics and Materials, Vol. 248, pp. 545-550, 2013

Online since:

December 2012




[1] Wang, W., Han-Xiong Li, Zhang, J.: Intelligence-Based Hybrid Control for Power Plant Boiler of a MIMO Robot Arm. IEEE Transaction on Fuzzy Systems, Vol. 10, No. 2, March (2002).

[2] Aydogmus, Z.: Implementation of a fuzzy-based level control using SCADA. In Expert Systems with Applications. Volume 36, Issue 3 Part 2, April 2009, Pages 6593-6597. ISSN: 09574174.

DOI: 10.1016/j.eswa.2008.07.055

[3] Behalek, K. Analýzavlastnostíregulačních fuzzy modelů Takagi-Sugeno. Diploma thesis 2004. VSB-TU Ostrava.

[4] Karr, C. L. Design of an Adaptive Fuzzy Logic Controller Using a Genetic Algorithm. In R. K. Belew& L. B. Booker (Eds. ), Proceedings of the Fourth International Conference on Genetic Algorithms (pp.450-457). 1991. Morgan Kaufmann.

[5] TeoLianSeng; Bin Khalid, M.; Yusof, R. Tuning of a neuro-fuzzy controller by genetic algorithm. In Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on. 1999, Vol. 2, pp.226-236. ISSN: 1083-4419.

DOI: 10.1109/3477.752795

[6] Kocian J, Ozana S, Koziorek J. The Concept of Knowledge Adaptation of PID Controller with PLC Implementation. In ICACTE 2011: Proceedings of the 4th International Conference on Advanced Computer Theory and Engineering. New York: ASME Press, 2011, pp.219-223.

DOI: 10.1115/1.859933.paper52

[7] KOCIAN, J., KOZIOREK, J., POKORNY, M. Implementation of Fuzzy Logic Control Based on PLC. In Proceedings of IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2011, Toulouse, France, September 5 - 9, 2011. Paper 2325, 8 pages. ISBN 978-1-4577-0016-3.

DOI: 10.1109/etfa.2011.6059049

[8] What is the genetic algorithm [online]. [Cited 5. 7. 2012] Genetic Algorithm help online. .

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