Permanent Magnet Synchronous Motor Dynamic Modeling with State Observer-based Parameter Estimation for AC Servomotor Drive Application

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Songklod Sriprang
Babak Nahid-Mobarakeh
Noureddine Takorabet
Serge Pierfederici
Nicu Bizon
Poom Kuman
Phatiphat Thounthong

Abstract

This paper presents model-based control with parameters identifies based on extended Luenberger observer of PMSM drive. To control the permanent magnet synchronous motor for high-performance operation, it is still challenging due to its nonlinear properties and unknown parameters. Therefore, to deal with this issue, nonlinear control with parametric identification can offer high-performance control. Both simulations by MATLAB/ SIMULINK software and the laboratory experiments were carried out in this research. Simulation and experimental results with a small-scale SPMSM of 6-pole, 1-kW, and 3000 rpm in a laboratory corroborate the control scheme capability during a motor-driven cycle.

Article Details

How to Cite
Sriprang, S., Nahid-Mobarakeh, B., Takorabet, N., Pierfederici, S., Bizon, N., Kuman, P., & Thounthong, P. (2019). Permanent Magnet Synchronous Motor Dynamic Modeling with State Observer-based Parameter Estimation for AC Servomotor Drive Application. Applied Science and Engineering Progress, 12(4), 286–297. Retrieved from https://ph02.tci-thaijo.org/index.php/ijast/article/view/232611
Section
Research Articles

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