Operation Efficiency Optimization for Permanent Magnet Synchronous Motor Based on Improved Particle Swarm Optimization
نویسندگان
چکیده
In this paper, an improved online particle swarm optimization (PSO) is proposed to optimize the traditional search controller for improving operating efficiency of permanent magnet synchronous motor (PMSM). This algorithm combines advantages attraction and repulsion PSO distributed that can help find optimal d - axis air gap current quickly accurately under non-stationary conditions, thereby minimizing flux then efficiency. To verify effectiveness stability algorithm, PMSM as using compared with conditions. The results show improve by 6.03% on average operation indicates based has a better adaptation variation external condition.
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2021
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2020.3047257