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Sensorless control application of PMSM with a novel adaptation mechanism

Abstract

This paper proposes a novel adaptation design to replace the classical proportional-integral controller used in model reference adaptive system (MRAS) speed estimation. The proposed adaptation scheme is an association of two fuzzy units. The rules of each module were obtained by user experience and numerical data. In the traditional fuzzy logic controllers, the computational complication enhances with the attributes of the system variable quantities; the number of rules increases incrementally while the number of control variables increases. This negatively affects the response time of the system. This novel design was deduced to reduce the number of rules for a linear function of system variables. By this way, the response of the system became faster. Detailed simulation and experimental results were obtained for comparison of this novel method with traditional MRAS techniques. The results showed that the proposed method was faster in speed tracking and exhibited higher prediction accuracy and less oscillation than the traditional method. Thus, the proposed MRAS method was clearly seen to be applicable and reliable.

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Acknowledgments

This work was supported by the number of Duzce University Scientific Research Projects Coordination Unit with number of 2015.07.03.364.

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Correspondence to Mustafa Dursun.

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Dursun, M., Boz, A.F., Kale, M. et al. Sensorless control application of PMSM with a novel adaptation mechanism. Neural Comput & Applic 29, 87–103 (2018). https://doi.org/10.1007/s00521-016-2384-7

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  • DOI: https://doi.org/10.1007/s00521-016-2384-7

Keywords

  • Model reference adaptive system
  • Proportional integral
  • Fuzzy logic