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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 189))

Abstract

The paper deals with the method of design of a fuzzy controller the rules of which are based on generating the optimal input vector using a genetic algorithm. The method is first demonstrated on a simple linear system and is then applied to the start-up of a drive with a three-phase asynchronous motor with constant torque, representing a strongly nonlinear fifth order dynamic system. The proposed controller is verified through simulation using the MATLAB software package. Achieved results present a simple applicability of this proposed procedure for a wide class of nonlinear dynamic black-box systems.

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© 2013 Springer-Verlag Berlin Heidelberg

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Fedor, P., Perdukova, D., Ferkova, Z. (2013). Optimal Input Vector Based Fuzzy Controller Rules Design. In: Herrero, Á., et al. International Joint Conference CISIS’12-ICEUTE´12-SOCO´12 Special Sessions. Advances in Intelligent Systems and Computing, vol 189. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33018-6_38

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  • DOI: https://doi.org/10.1007/978-3-642-33018-6_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33017-9

  • Online ISBN: 978-3-642-33018-6

  • eBook Packages: EngineeringEngineering (R0)

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