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Research on sensorless control method of permanent magnet synchronous motor based on iterated cubature Kalman filter

Content Provider	SAGE Publishing
Author	Peicheng, Shi Chen, Wang Rongyun, Zhang Suo, Wang
Copyright Year	2020
Abstract	Aiming at the problems of high cost, increased volume, low reliability, and environmental interference caused by sensor installation on permanent magnet synchronous motor, estimation method for motor speed and rotor position is proposed based on iterated cubature Kalman filter algorithm and applied to permanent magnet synchronous motor sensorless control. First, discrete mathematical model of permanent magnet synchronous motor in α-β coordinate system is established. Then, based on cubature Kalman filter and iterated cubature Kalman filter, simulation model of sensorless vector control system with dual closed-loop of permanent magnet synchronous motor speed and current is established. Also, simulation verification of two working conditions with given rotation speed and load is carried out. Finally, hardware experimental verification platform is built based on TMS320F28335 chip. Both simulation analysis and experimental results show that iterated cubature Kalman filter application to sensorless control of permanent magnet synchronous motor demonstrates good anti-load variation interference, stable motor operation, high motor speed and rotor position estimation accuracy, which suits the application with high requirement for precise motor control and mean important reference value and promotion significance.
Related Links	https://journals.sagepub.com/doi/pdf/10.1177/0036850419890272?download=true
ISSN	00368504
Issue Number	1
Volume Number	103
Journal	Science Progress (SCI)
e-ISSN	20477163
DOI	10.1177/0036850419890272
Language	English
Publisher	Sage Publications UK
Publisher Date	2019-12-17
Publisher Place	London
Access Restriction	Open
Rights Holder	© The Author(s) 2020
Subject Keyword	permanent magnet synchronous motor simulation Iterated cubature Kalman filter sensorless control
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

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