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A novel rotor position estimation approach for an 8/6 solid rotor switched reluctance motor

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Abstract

Switched reluctance motor (SRM) is becoming popular due to its simple construction, low manufacturing cost, ruggedness and fault-tolerant capability. In conventional switched reluctance motor (SRM), rotor is laminated. But in solid rotor switched reluctance motor (SRM), rotor is not laminated, and it is suitable for applications where rotors are immersed in water environment. A stationary can arrangement is introduced between stator and rotor. In this research, an 8/6 solid rotor switched reluctance motor which is used in reactivity control mechanisms of nuclear reactors is considered as test motor. As solid rotor switched reluctance motor is suitable for working in water environments in nuclear reactors, rotor position estimation is the topic of interest. A new approach which adopts two-phase excitation method is presented for rotor position estimation. Four different artificial neural networks (ANNs) with 2-5-5-1 structure are trained to estimate rotor position. The main advantage of this approach is to minimize the required number of voltage and current sensors. The validity of the new approach is verified through online comparison of estimated and actual rotor position.

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Acknowledgments

The support of management and staff members of Thiagarajar College of Engineering for this research work is greatly acknowledged. The research project is supported by Board of Research in Nuclear Sciences (BRNS), Department of Atomic Energy (DAE), India.

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Authors and Affiliations

  1. EEE Department, Thiagarajar College of Engineering, Madurai, 6250150, India

    L. Jessi Sahaya Shanthi

  2. EEE Department, SSN College of Engineering, Chennai, India

    R. Arumugam

  3. Control and Instrumentation Division, Bhabha Atomic Research Centre, Trombay, India

    Y. K. Taly

Authors
  1. L. Jessi Sahaya Shanthi
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  2. R. Arumugam
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  3. Y. K. Taly
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Correspondence to L. Jessi Sahaya Shanthi.

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Jessi Sahaya Shanthi, L., Arumugam, R. & Taly, Y.K. A novel rotor position estimation approach for an 8/6 solid rotor switched reluctance motor. Neural Comput & Applic 21, 461–468 (2012). https://doi.org/10.1007/s00521-010-0447-8

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  • DOI: https://doi.org/10.1007/s00521-010-0447-8

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