Parameter Identification of Induction Motor Based on Tabu-chaotic Firefly Algorithm

Authors

Xiaoyang Xu, Institute of Electrical Automation, Jiangnan University, Wuxi 214122, China;
Wang Yan, Institute of Electrical Automation, Jiangnan University, Wuxi 214122, China;
Zhicheng Ji, Institute of Electrical Automation, Jiangnan University, Wuxi 214122, China;

Abstract

Abstract: In order to overcome the defects of traditional induction motor parameter identification methods such as identifying less parameters simultaneously and Low identification accuracy. A multi-parameters identification method based on Tabu-chaotic Firefly Algorithm was proposed. The proposed method can simultaneously identify the stator resistance, stator inductance, rotor time constant and mutual inductance without prior knowledge about the parameters. For the sake of improving the identification accuracy, the formula of attractiveness in original Firefly Algorithm was adjusted, furthermore chaos theory and the idea of Tabu Search was integrated into the algorithm. Simulatied experimental results demonstrate that compared to the other three algorithms, the proposed algorithm has good stability and convergence in the process of parameter identification and can identify the parameters accurately at different speeds and loads for a short time.

Recommended Citation

Xu, Xiaoyang; Yan, Wang; and Ji, Zhicheng (2020) "Parameter Identification of Induction Motor Based on Tabu-chaotic Firefly Algorithm," Journal of System Simulation: Vol. 28: Iss. 6, Article 7.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss6/7

First Page

1296

Revised Date

2015-12-30

DOI Link

https://doi.org/

Last Page

1305

CLC

TM346

Recommended Citation

Xu Xiaoyang, Wang Yan, Ji Zhicheng. Parameter Identification of Induction Motor Based on Tabu-chaotic Firefly Algorithm[J]. Journal of System Simulation, 2016, 28(6): 1296-1305.