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International Conference on Cognitive Systems and Signal Processing

ICCSIP 2018: Cognitive Systems and Signal Processing pp 452–462Cite as

A Novel Rotor Position Observer for Self-sensing of Interior Permanent Magnet Synchronous Motor with Dynamic Error Compensation

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1005))

Abstract

Among the observer models of salient permanent magnet synchronous motor for position self-sensing, equivalent electromotive force (EMF) model is simpler, independent on rotor speed, less sensitive to uncertainty of motor parameters and immune to errors caused by integrator. In this paper, a novel rotor position observer with dynamic error compensation is presented based on equivalent EMF model. A sliding mode observer is established to estimate equivalent EMF from which the rotor position can be extracted. The rotor position estimation error resulting from variation of stator current in direct axis is suppressed by a dynamic error compensator, improving position estimating performance for self-sensing direct torque control (DTC) system of salient permanent magnet synchronous motor. Compared with the observer without dynamic error compensator, the novel one has several advantages: (1) For fast torque response of DTC, position observation accuracy in speed and load transient condition are increased by 54.16% and 54.55%, respectively. (2) For high harmonic current of DTC, position observation accuracy in speed steady condition is increased by 44.89% through reducing observation error caused by current harmonics. Experiment verifies feasibility and effectiveness of the novel one.

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Acknowledgments

This work was supported by the National Science and Technology Major Project of China under Grants 2013ZX04001-141.

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Authors and Affiliations

  1. The 32nd Research Institute of China Electronics Technology Group Corporation, Shanghai, 201808, China

    Chang Deng & Jun Lu

Authors
  1. Chang Deng
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  2. Jun Lu
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Corresponding author

Correspondence to Jun Lu .

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Editors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Fuchun Sun

  2. Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Huaping Liu

  3. College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan, China

    Dewen Hu

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Deng, C., Lu, J. (2019). A Novel Rotor Position Observer for Self-sensing of Interior Permanent Magnet Synchronous Motor with Dynamic Error Compensation. In: Sun, F., Liu, H., Hu, D. (eds) Cognitive Systems and Signal Processing. ICCSIP 2018. Communications in Computer and Information Science, vol 1005. Springer, Singapore. https://doi.org/10.1007/978-981-13-7983-3_40

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  • DOI: https://doi.org/10.1007/978-981-13-7983-3_40

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-7982-6

  • Online ISBN: 978-981-13-7983-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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