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Performance of a Four Phase Switched Reluctance Motor Speed Control Based On an Adaptive Fuzzy System: Experimental Tests,Analysis and Conclusions

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Applied Soft Computing Technologies: The Challenge of Complexity

Part of the book series: Advances in Soft Computing ((AINSC,volume 34))

Abstract

In this paper, the controller’s tuning and performance of a speed controller prototype for switched reluctance motor is presented using significant experimental tests. The system uses an on-line learning mechanism to acquire and modify, if needed, the “good” fuzzy control rules. Experimental essays are analyzed and discussed in order to reveal some advantages of having a learning speed controller for the SR machine, and also the drawbacks that the use of using these controllers can introduce to the drive system and possible ways to overcome them.

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Rafael, S., Pires, A., Branco, P.C. (2006). Performance of a Four Phase Switched Reluctance Motor Speed Control Based On an Adaptive Fuzzy System: Experimental Tests,Analysis and Conclusions. In: Abraham, A., de Baets, B., Köppen, M., Nickolay, B. (eds) Applied Soft Computing Technologies: The Challenge of Complexity. Advances in Soft Computing, vol 34. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31662-0_45

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  • DOI: https://doi.org/10.1007/3-540-31662-0_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-31649-7

  • Online ISBN: 978-3-540-31662-6

  • eBook Packages: EngineeringEngineering (R0)

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