4.6 Article Proceedings Paper

Speed-Sensorless Control of Linear Induction Motor Based on the SSLKF-PLL Speed Estimation Scheme

Journal

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
Volume 56, Issue 5, Pages 4986-5002

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIA.2020.3008673

Keywords

Rotors; Phase locked loops; Observers; Induction motors; Adaptive filters; Steady-state; Amplitude normalization; dynamic analysis; motor drive; prefilter; speed estimation; steady-state linear Kalman filter-based phase-locked loop (SSLKF-PLL)

Funding

  1. High-Speed Railway Joint Funds of the National Natural Science Foundation of China [U1934204]
  2. Doctoral Innovation Fund Program of Southwest Jiaotong University [D-CX201916]

Ask authors/readers for more resources

In most motor drive applications, the speed sensor is of concern because it potentially deteriorates the system reliability and increases the system cost. To mitigate the adverse effects of speed sensors, various speed estimation schemes are employed to achieve speed-sensorless control of motor drives. With this, the concept of the steady-state linear Kalman filter-based phase-locked loop (SSLKF-PLL) is adopted in this article to enable speed estimation for speed-sensorless control of linear induction motor drives. However, the SSLKF-PLL scheme may be challenged by disturbances, e.g., harmonics and parameter variations in practice. To address this issue, the disturbance rejection schemes, including the prefilters and amplitude normalization unit, are developed for the SSLKF-PLL scheme in this article. Additionally, the dynamic performance analysis and parameter tuning of the SSLKF-PLL scheme are detailed by using the derived small-signal model. Experimental tests have validated the analysis and discussions of the SSLKF-PLL scheme.

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