Design and Simulink Modelling of an Adaptive Gain Variation Sliding-Model Control Algorithm for Sensorless Permanent Magnet Synchronous Motor Drive

• Published in: Materials today : proceedings Vol. 5; no. 1; pp. 596 - 609
• Main Authors: Siddhapura, Kuman, RajendrasinhJadeja
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 2018
• Subjects: Back-EMF observer; Field oriented control; PMSM; Sliding-mode observer; Field oriented control; PMSM; Sliding-mode observer; Back-EMF observer
• ISSN: 2214-7853; 2214-7853
• DOI: 10.1016/j.matpr.2017.11.123

The paper proposes a novel sliding-mode observer (SMO) algorithm with adaptive gain variation algorithm for permanent magnet synchronous motor (PMSM) for estimation of speed and position of the motor. The PMSM drive is controlled using field oriented control and to control the machine mathematical model of PMSM is adopted. To make the drive sensorless, to reduce the cost and dependency on hardware, estimation of speed using back-electromotive force (Back-EMF), sliding-mode observer and adaptive gain variation sliding-mode observer is simulated in MATLAB - Simulink environment. The mathematical preliminary, block diagram representation of the scheme and simulation results are presented in this paper. The simulation results are obtained using MATLAB Simulink and compared for wide range of speed for different methods and results are discussed with effectiveness of proposed SMO algorithm application to PMSM drive.