The Transactions of the Korean Institute of Power Electronics (전력전자학회논문지)

The Korean Institute of Power Electronics (전력전자학회)
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SPMSM Mechanical Parameter Estimation Using Sliding-Mode Observer and Adaptive Filter

슬라이딩 모드 관측기와 적응 필터를 이용한 SPMSM 기계 파라미터 추정

  • Received : 2018.12.20
  • Accepted : 2019.01.02
  • Published : 2019.02.20
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Abstract

We propose a mechanical parameter estimation algorithm for surface-mounted permanent magnet synchronous motors (SPMSMs) using a sliding-mode observer (SMO) and an adaptive filter. The SMO estimates system disturbances in real time, which contain the information on mechanical parameters. A desirable feature that distinguishes the proposed estimation algorithm from other existing mechanical parameter estimators is that the adaptive filter estimates electromagnetic torque to improve the estimation performance. Moreover, the SMO acts as a low-pass filter to suppress the chattering effect, which enables the smooth output signals of the SMO. We verify the mechanical parameter estimation performance for SPMSM by conducting extensive experiments for the proposed algorithm.

Keywords

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Fig. 1. Structure of SPMSM control system.

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Fig. 2. Structure of adaptive filter.

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Fig. 4. Experiment Setup.

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Fig. 5. Experimental results of rotor flux linkage estimation.

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Fig. 7. Experimental results of inertia estimation.

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Fig. 3. Structure of sliding-mode observer.

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Fig. 6. Experimental results of viscous damping coefficient estimation.

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Fig. 8. Experimental results of load torque estimation.

TABLE I CONTROL MOTOR SPECIFICATION(EMJ-08-APB22)

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TABLE II LOAD MOTOR SPECIFICATION(MDME152GCH)

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TABLE III SYSTEM PARAMETERS

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