LAPSE:2019.0232
Published Article
LAPSE:2019.0232
Analysis and Speed Ripple Mitigation of a Space Vector Pulse Width Modulation-Based Permanent Magnet Synchronous Motor with a Particle Swarm Optimization Algorithm
Xing Liu, Jinhua Du, Deliang Liang
February 5, 2019
A method is proposed for reducing speed ripple of permanent magnet synchronous motors (PMSMs) controlled by space vector pulse width modulation (SVPWM). A flux graph and mathematics are used to analyze the speed ripple characteristics of the PMSM. Analysis indicates that the 6P (P refers to pole pairs of the PMSM) time harmonic of rotor mechanical speed is the main harmonic component in the SVPWM control PMSM system. To reduce PMSM speed ripple, harmonics are superposed on a SVPWM reference signal. A particle swarm optimization (PSO) algorithm is proposed to determine the optimal phase and multiplier coefficient of the superposed harmonics. The results of a Fourier decomposition and an optimized simulation model verified the accuracy of the analysis as well as the effectiveness of the speed ripple reduction methods, respectively.
Keywords
harmonic superposition, particle swarm optimization (PSO), speed ripple reduction
Suggested Citation
Liu X, Du J, Liang D. Analysis and Speed Ripple Mitigation of a Space Vector Pulse Width Modulation-Based Permanent Magnet Synchronous Motor with a Particle Swarm Optimization Algorithm. (2019). LAPSE:2019.0232
Author Affiliations
Liu X: State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Du J: State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Liang D: State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China
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Journal Name
Energies
Volume
9
Issue
11
Article Number
E923
Year
2016
Publication Date
2016-11-08
Published Version
ISSN
1996-1073
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PII: en9110923, Publication Type: Journal Article
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LAPSE:2019.0232
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doi:10.3390/en9110923
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Feb 5, 2019
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Calvin Tsay
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