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A Multi-objective Optimization of Switched Reluctance Motor using a Hybrid Analytic-ANFIS Model Considering the Vibrations

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Iranian Journal of Science and Technology, Transactions of Electrical Engineering Aims and scope Submit manuscript

Abstract

Switched reluctance motors have a rugged construction which makes them suitable for many applications. But, high torque ripple, vibration, and acoustic noise are the main drawbacks of them. In this paper, the vibration is considered in optimization besides the other desired considerations. The radial force is the main origin of vibration in switched reluctance motor, and a torque-to-force ratio is introduced for considering the low vibration in optimization. Also, modeling of switched reluctance motor is somehow challenging. In this paper, a hybrid method based on analytic and adaptive-neuro-fuzzy inference system methods is presented for modeling SRM and the obtained static characteristics are used in a dynamic simulation method. Discussion on simulation results is presented at the final part of the paper which shows the lower vibrations lead to bigger air gap length; so, to prevent the deterioration of other features, an optimization should be done. A multi-objective particle swarm optimization is used to find the dominant design, and the best design is obtained by means of weighted cost functions.

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Acknowledgements

This research was supported by Islamic Azad University, Zarghan Branch.

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Authors and Affiliations

  1. Department of Electrical Engineering, Zarghan Branch, Islamic Azad University, Zarghan, Iran

    Zhale Hashemi

  2. Young Researchers and Elite Club, Zarghan Branch, Islamic Azad University, Zarghan, Iran

    Fateme Zohrabi

  3. Department of Electrical Engineering, Shiraz University of Technology, Shiraz, Iran

    Mohammad Mardaneh

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  1. Zhale Hashemi
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  2. Fateme Zohrabi
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  3. Mohammad Mardaneh
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Correspondence to Zhale Hashemi.

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Hashemi, Z., Zohrabi, F. & Mardaneh, M. A Multi-objective Optimization of Switched Reluctance Motor using a Hybrid Analytic-ANFIS Model Considering the Vibrations. Iran J Sci Technol Trans Electr Eng 43, 361–371 (2019). https://doi.org/10.1007/s40998-018-0093-1

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  • DOI: https://doi.org/10.1007/s40998-018-0093-1

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