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

Huimin Wang, Yongheng Yang, Xinglai Ge, Songtao Li, Yun Zuo

Research output: Contribution to journalJournal articleResearchpeer-review

18 Citations (Scopus)
82 Downloads (Pure)

Abstract

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.

Original languageEnglish
Article number9139279
JournalI E E E Transactions on Industry Applications
Volume56
Issue number5
Pages (from-to)4986-5002
Number of pages17
ISSN0093-9994
DOIs
Publication statusPublished - Sept 2020

Keywords

  • Amplitude normalization
  • dynamic analysis
  • motor drive
  • prefilter
  • speed estimation
  • steady-state linear Kalman filter-based phase-locked loop (SSLKF-PLL)

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