Simulation and Implementation of Predictive Speed Controller and Position Observer for Sensorless Synchronous Reluctance Motors

Tian-Hua Liu, Seerin Ahmad, Muhammad Syahril Mubarok and Jia-You Chen
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Tian-Hua Liu: Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan
Seerin Ahmad: Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan
Muhammad Syahril Mubarok: Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan
Jia-You Chen: Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan

Energies, 2020, vol. 13, issue 11, 1-18

Abstract: A position observer and a predictive controller for sensorless synchronous-reluctance-motor (SynRM) drive systems are investigated in this paper. The rotor position observer, based on motor parameters, and stator currents and voltages, was designed and implemented to compute the rotor position. A pole-assignment technique was used to provide similar converging rates of the position observer, even when operated at different speeds. Furthermore, a predictive controller was designed to enhance performance. A digital-signal processor (DSP), TMS-320F-28335, was used as a computation tool. Several simulated results are provided and compared with the measured results. The measured results showed that the implemented predictive controller sensorless SynRM drive system could be adjusted from 30 to 1800 rpm with satisfactory performance, including quicker and better tracking responses, and a lower speed drop than that of a proportional-integral (PI) controller.

Keywords: rotor position observer; predictive speed controller; digital-signal processor; synchronous reluctance motor (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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