系统仿真学报 ›› 2016, Vol. 28 ›› Issue (6): 1296-1305.

• 仿真建模理论与方法 • 上一篇    下一篇

基于禁忌混沌萤火虫算法的感应电机参数辨识

徐晓杨, 王艳, 纪志成   

  1. 江南大学电气自动化研究所,江苏 无锡 214122
  • 收稿日期:2015-09-09 修回日期:2015-12-30 出版日期:2016-06-08 发布日期:2020-06-08
  • 作者简介:徐晓杨(1991-),男,江苏苏州,硕士,研究方向为控制工程与应用;王艳(1978-),女,江苏盐城,博士,教授,硕导,研究方向为网络化控制系统。
  • 基金资助:
    国家自然科学基金(61572238), 国家863计划(2014AA041505)

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

Xu Xiaoyang, Wang Yan, Ji Zhicheng   

  1. Institute of Electrical Automation, Jiangnan University, Wuxi 214122, China
  • Received:2015-09-09 Revised:2015-12-30 Online:2016-06-08 Published:2020-06-08

摘要: 针对传统感应电机参数辨识方法中存在的可辨识参数少、辨识精度低等缺陷,提出了一种禁忌混沌萤火虫算法对感应电机参数进行辨识。该方法能够同时辨识定子电阻、定子电感、转子时间常数和漏感,且对辨识参数没有严苛的先验要求。为了提高参数的辨识精度,改进了算法吸引度公式并融入混沌理论和禁忌搜索的思想以克服萤火虫算法收敛精度低、易于陷入局部最优的不足。仿真表明,相较于其他3种算法,该算法具有较强的稳定性和较好的收敛精度,并能在不同转速和负载的情况下,以较短时间将辨识参数收敛到真实值附近,具有实用性。

关键词: 感应电机, 多参数辨识, 萤火虫算法, 混沌, 禁忌搜索

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.

Key words: induction motor, multi-parameters identification, firefly algorithm, chaos, tabu search

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