Parameter Identification for PMSM Based on Multi-innovation Approximate Least Absolute Deviation Identification Algorithm

Authors

Dinghui Wu, Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education Jiangnan University, Wuxi 214122, China;
Jianyu Zhang, Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education Jiangnan University, Wuxi 214122, China;
Yanxia Shen, Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education Jiangnan University, Wuxi 214122, China;
Zhicheng Ji, Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education Jiangnan University, Wuxi 214122, China;

Abstract

Abstract: In view of the problem that the results of traditional identification algorithm are not accurate caused by the peak noise signal in the environment, a new algorithm based on the forgetting factor multi-innovation approximate least absolute deviation (MIALAD) identification algorithm is proposed. Combined with the system voltage equation of permanent magnet synchronous motor (PMSM), a discrete identification model is constructed. By using vector control method, the input and output data of the identification model are obtained to identify the rotor resistance and inductance. The simulation results show that this identification algorithm can obtain the accurate parameters of the PMSM model in the peak noise environment.

Recommended Citation

Wu, Dinghui; Zhang, Jianyu; Shen, Yanxia; and Ji, Zhicheng (2019) "Parameter Identification for PMSM Based on Multi-innovation Approximate Least Absolute Deviation Identification Algorithm," Journal of System Simulation: Vol. 30: Iss. 3, Article 29.
DOI: 10.16182/j.issn1004731x.joss.201803029
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss3/29

First Page

1001

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201803029

Last Page

1007

CLC

TP2

Recommended Citation

Wu Dinghui, Zhang Jianyu, Shen Yanxia, Ji Zhicheng. Parameter Identification for PMSM Based on Multi-innovation Approximate Least Absolute Deviation Identification Algorithm[J]. Journal of System Simulation, 2018, 30(3): 1001-1007.

DOI

10.16182/j.issn1004731x.joss.201803029