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Vibration noise suppression approach based on random switching frequency control for permanent magnet motor
- Source :
- Transactions of the Canadian Society for Mechanical Engineering. 45:444-460
- Publication Year :
- 2021
- Publisher :
- Canadian Science Publishing, 2021.
-
Abstract
- The vibration noise of the distributed drive autonomous ground vehicle (AGV) is mainly produced by the inverter-fed brushless DC permanent magnet in-wheel motor (PMIWM). It is necessary to reduce the vibration noise level of the PMIWM driven by pulse width modulation (PWM). A suppression approach of electromagnetic vibration noise for the PMIWM is investigated. First, the air gap magnetic field of the inverter-fed PMIWM was analyzed. The electric current harmonics and the unbalanced magnetic force (UMF) were investigated. The natural frequency and noise of the PMIWM were presented. Then, a flux-weaken approach was employed to maintain the robustness of the PMIWM when a sudden drop of DC bus voltage. The random switching frequency (RSF) PWM control method based on a two-state Markov chain is proposed to decrease the amplitude of the harmonics caused by the switching frequency and the multiple switching frequencies. The experimental results show that the RSFPWM can not only effectively reduce the vibration noise and the inverter losses, but also improve the robustness of the PMIWM control system under unpredictable uncertainties.
- Subjects :
- 010302 applied physics
Noise suppression
Random switching
Computer science
Mechanical Engineering
Acoustics
020208 electrical & electronic engineering
Automatic frequency control
02 engineering and technology
01 natural sciences
Vibration
Noise
Magnet
0103 physical sciences
Autonomous ground vehicle
0202 electrical engineering, electronic engineering, information engineering
Permanent magnet motor
Subjects
Details
- ISSN :
- 03158977
- Volume :
- 45
- Database :
- OpenAIRE
- Journal :
- Transactions of the Canadian Society for Mechanical Engineering
- Accession number :
- edsair.doi...........9338329fdebd9da66d06bfef46c308c7