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标题：车用感应电机多模型参数在线辨识算法的研究 |
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作者：刘艳，徐广芳 |
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| 2016年第1期 访问次数：233次 |
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摘要：针对感应电机模型参数变化对电机控制性能影响的问题，提出一种感应电机多模型参数在线辨识的新算法。首先，利用龙伯格-滑模观测器对定子电流和转子磁链状态进行在线估计，其次，利用状态变量误差法设计自适应控制算法在线辨识电机的多模型参数，最后，以车用感应电机典型运行工况仿真分析研究多模型参数辨识算法的有效性。仿真结果表明该辨识算法能够跟踪电机的模型参数，误差控制在6%以内，车用电机驱动系统的静动态性能获得显著提高。
关键词：感应电机；龙伯格-滑模观测器；自适应控制；多模型参数辨识
Abstract: Parameter variations have a significant influence on the performance of an induction motor. A novel online parameter identification algorithm was presented. Firstly, the Luenbergersliding mode observer was designed to estimate the stator current and rotor flux in real time. Secondly, an adaptive identification method based on state dynamic output error was employed to identify the induction motor parameters. Finally, the parameters identification was justified by the typical driving schedule of the induction motor in the electric vehicle applications. Simulation results show that the identification algorithm can track the mode parameters within 6% error, and the static and dynamic performance of the induction motor drive was improved significantly.
Key words: induction motor；Luenbergersliding mode observer；adaptive control；model parameters
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