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Adaptive Disturbance Observer-Based Parameter-Independent Speed Control of an Uncertain Permanent Magnet Synchronous Machine for Wind Power Generation Applications

Author

Listed:
  • Seok-Kyoon Kim

    (The Research Institute of EIT, Ajou University, Woncheon-dong, Gyeonggi-do, Yeongtong-gu, Suwon 443-749, Korea)

  • Hwachang Song

    (The Department of EIE, SeoulTech., Seoul National University of Technology, Gongnung-dong 172, Nowon-gu, Seoul 139-743, Korea)

  • Jang-Ho Lee

    (The Department of Mechanical Engineering, Kunsan Nat'l University, Miryong-dong, Gunsan-si, Jeollabuk-do, Jeolla-do 573-701, Korea)

Abstract

This paper proposes a parameter-independent speed controller based on the classical cascade speed control strategy comprising an inner-loop current controller and an outer-loop speed controller for permanent magnet synchronous machines. The contribution of this paper is three-fold: the first is the proposal of a parameter-independent current controller in the inner loop with global asymptotic stability guarantee; the second is the presentation of a guideline for choosing stabilizing proportional-integral (PI) gains in the outer loop; and the third is designing an adaptive disturbance observer (ADOB) to predict the one step ahead state, so that this predicted state compensates the one-step time delay on the control input. The effectiveness of the proposed controller is demonstrated by simulating a wind power generation application using powerSIM (PSIM) software.

Suggested Citation

  • Seok-Kyoon Kim & Hwachang Song & Jang-Ho Lee, 2015. "Adaptive Disturbance Observer-Based Parameter-Independent Speed Control of an Uncertain Permanent Magnet Synchronous Machine for Wind Power Generation Applications," Energies, MDPI, vol. 8(5), pages 1-17, May.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:5:p:4496-4512:d:49801
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    Cited by:

    1. Raja M. Imran & D. M. Akbar Hussain & Bhawani Shanker Chowdhry, 2018. "Parameterized Disturbance Observer Based Controller to Reduce Cyclic Loads of Wind Turbine," Energies, MDPI, vol. 11(5), pages 1-13, May.

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