Speed sensorless control strategy for six‐phase linear induction motor based on the dual reduced‐dimensional serial extended Kalman filters. Issue 14 (21st October 2019)

• Record Type: Journal Article
• Authors: Sun, Xingfa; Nie, Ziling; Zhu, Junjie; Han, Yi; Sun, Jun
• Is Part Of: IET power electronics. Volume 12:Issue 14(2019)
• Page Start: 3758
• Page End: 3766
• Publication Date: 2019-10-21
• Subjects: sensorless machine control -- permanent magnet motors -- Kalman filters -- linear induction motors -- machine vector control -- nonlinear filters -- velocity control; speed sensorless vector control strategy -- SPLIM -- flux components -- stationary coordinate system -- speed estimation -- five‐dimensional extended Kalman filter -- DRDSEKFs algorithm -- two‐dimensional EKF -- three‐dimensional EKF -- control period -- dynamic estimation performance -- sensorless control strategy -- mathematical model -- six‐phase linear induction motor -- dual reduced‐dimensional serial extended Kalman filters; Power electronics -- Periodicals; 621.31705
• DOI: 10.1049/iet-pel.2018.6185
• Languages: English
• ISSNs: 1755-4535

Abstract

Abstract : This study proposes a speed sensorless vector control strategy for the six‐phase linear induction motor (SPLIM) based on the dual reduced‐dimensional serial extended Kalman filters (DRDSEKFs). Firstly, the low‐order mathematical model of SPLIM is obtained according to the equivalent transformation of primary voltage, current and flux components in the stationary coordinate system. Then, the state equation is derived and the speed estimation based on the five‐dimensional extended Kalman filter (EKF) is realised. To reduce the computation cost and improve the accuracy of speed estimation, a DRDSEKFs algorithm is proposed, with one two‐dimensional EKF and one three‐dimensional EKF operating serially in every control period. As the real‐time performance of the algorithm is guaranteed, it is possible to overcome the hysteretic nature of the traditional EKF and improve the dynamic estimation performance. Simulations and experiments show that the proposed sensorless control strategy is feasible and effective.