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基于递推最小二乘法与模型参考自适应法的鼠笼式异步电机转子电阻在线辨识方法

DOI: 10.13334/j.0258-8013.pcsee.2014.30.016, PP. 5386-5394

Keywords: 异步电机,转子电阻,在线辨识,递推最小二乘法,模型参考自适应法

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Abstract:

为了能够实时准确地获取鼠笼式异步电机转子电阻,提出一种将递推最小二乘法(recursiveleastsquaremethod,RLS)与模型参考自适应法(modelreferenceadaptivesystem,MRAS)相结合的转子电阻在线辨识方法。该方法首先推导基于dq0坐标系下标准最小二乘法形式的电机参数辨识模型,采用带遗忘因子的递推最小二乘算法辨识得出电机电感参数;然后将上述辨识得到的电感值作为基于瞬时无功功率的模型参考自适应系统中的电机常数,并采用基于波波夫超稳定性理论设计的PI自适应律,实现不同运行状态下的转子电阻在线辨识。以一台5.5kW异步电机为例进行了仿真与实验研究,仿真结果表明,文中方法适用于转速波动明显且转子电阻变化较大的复杂运行工况,且具有计算量少、准确度高以及较好的动态跟踪辨识性能;进行不考虑温升与考虑温升的转子电阻在线辨识实验对比,验证了文中方法的正确性与有效性。

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