基于最小二乘法的电机驱动空调压缩机参数辨识

Jiaran Zhang, Taizhi Sun
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摘要

如今,变频空调以其节能、舒适等明显的特点将逐渐占领整个空调市场。针对空调压缩机驱动系统中运行的永磁同步电机电磁参数的变化,采用带遗忘因子的递推最小二乘法在线辨识电机的电阻和电感。为了克服传统仿真语言复杂度高、计数周期长等缺点,本文在Matlab中通过调用s函数编译最小二乘算法来提高仿真效率。通过双闭环控制系统仿真系统和辨识模型中估计参数与实际参数的比较,验证了算法的合理性。仿真结果表明,该方法能准确识别电机参数,具有一定的实用价值。
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Parameters Identification of Air-Condition Compressor Driven by Motor Using the Least Squares Method
Nowadays variable-frequency air-condition with some obvious characteristics such as energy conservation, comfortable will gradually occupy the entire market of air-condition. Aiming at the changes of the electromagnetic parameters of running PMSM in air-condition compressor drive system, recursive least squares with forgetting factor method is used to identify the resistance and inductance of the motor online. In order to overcome disadvantages of high-complexity and length-counting period in the traditional simulation language, the paper enhances simulation efficiency by calling S-function to compile the least squares algorithm in Matlab. The rationality of the algorithm is verified by comparing between the estimated parameters and real parameters in the simulation system of double closed loop control system and identification model. Simulation results show that the method can accurately identify the motor parameters and have considerable practical value.
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