Parameter Compensation for the Predictive Control System of a Permanent Magnet Synchronous Motor Based on Bacterial Foraging Optimization Algorithm

Parameter Compensation for the Predictive Control System of a Permanent Magnet Synchronous Motor Based on Bacterial Foraging Optimization Algorithm

The accurate identification of permanent magnet synchronous motor (PMSM) parameters is the foundation for high-performance driving in predictive control systems. The traditional PMSM multi-parameter identification method suffers from insufficient rank of the identification equation and is prone to g...

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Bibliographic Details
Main Authors: Jiali Yang, Yanxia Shen, Yongqiang Tan
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:World Electric Vehicle Journal
Subjects:
PMSM
robust control
predictive control
parameter compensation
BFOA
Online Access:https://www.mdpi.com/2032-6653/15/1/23

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