PMSM Parameter Identification Using Teaching-Learning-Based Optimization with Levy Flight

Authors

Jinbao Chen, Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Li Jie, Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Wang Yan, Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Zhicheng Ji, Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;

Abstract

Abstract: High precision parameters are the key for permanent magnet synchronous motor to realize high performance control. To overcome the shortages of slow speed and low identification accuracy in traditional identification methods, a novel teaching-learning-based optimization algorithm with Levy flight is proposed to identify the PMSM parameters. The algorithm introduces adaptive teaching factor and self-learning strategy to improve the convergence speed. As for learning phase, a Levy flight stochastic process is introduced to improve the optimization strategy so that the algorithm can enhance the ability to keep the balance between exploration and exploitation. The simulation results show that the novel algorithm can accurately identify the stator resistance, d-axis, q-axis inductance and the rotor linkage with better convergence and reliability.

Recommended Citation

Chen, Jinbao; Jie, Li; Yan, Wang; and Ji, Zhicheng (2019) "PMSM Parameter Identification Using Teaching-Learning-Based Optimization with Levy Flight," Journal of System Simulation: Vol. 30: Iss. 4, Article 30.
DOI: 10.16182/j.issn1004731x.joss.201804030
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss4/30

First Page

1456

Revised Date

2017-07-10

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201804030

Last Page

1463

CLC

TP391.9

Recommended Citation

Chen Jinbao, Li Jie, Wang Yan, Ji Zhicheng. PMSM Parameter Identification Using Teaching-Learning-Based Optimization with Levy Flight[J]. Journal of System Simulation, 2018, 30(4): 1456-1463.

DOI

10.16182/j.issn1004731x.joss.201804030