一种变频电机参数离线辨识方法的研究
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摘要
传统电机参数辨识采用固定脉冲宽度调制(PWM)波占空比。该方法导致电流大小不可控,而辨识电流大小又直接影响辨识准确性。为此,提出新的参数离线辨识方法,采用恒电流辨识原理并检测电机相电流,控制辨识电流在给定值附近波动,解决了电机辨识电流不合适问题。设计了续流二极管和IGBT电压模型,d轴和q轴电感辨识都采用在270°而非0°进行辨识,以此提高了辨识精度。最后,在变频冰箱上进行验证并与原来数据进行对比。该方法很好地解决了冰箱电机带背压条件下,电机d、q轴电感辨识不准确、辨识时间长等问题,试验结果证明了该方法的可行性和有效性。
The parameters identification method of traditional motor often used fixed pulse width modulation(PWM) wave duty cycle, which led to uncontrollable identification current, and the accuracy of identification and was directly affected by the size of identified current. A new parameters off-line identification method was proposed, which was based on the principle of constant current identification. It solved the problem of inappropriate identification current of motor by detecting the phase current of motor and controlling the fluctuation of identification current near the given value. The model of the fly-wheel diode and IGBT voltage was designed, which required that both d axis and q axis inductance identification should be carried out at 270° instead of 0°, thus it could improve the identification accuracy. Finally, the method was applied to the frequency conversion refrigerator, and the experimental results were compared with the original data. This method could effectively solve problems such as inaccurate identification of the d,q axis inductance and long identification time of the refrigerator motor with back pressure. The experimental results showed that the new method was feasible and effective.
The parameters identification method of traditional motor often used fixed pulse width modulation(PWM) wave duty cycle, which led to uncontrollable identification current, and the accuracy of identification and was directly affected by the size of identified current. A new parameters off-line identification method was proposed, which was based on the principle of constant current identification. It solved the problem of inappropriate identification current of motor by detecting the phase current of motor and controlling the fluctuation of identification current near the given value. The model of the fly-wheel diode and IGBT voltage was designed, which required that both d axis and q axis inductance identification should be carried out at 270° instead of 0°, thus it could improve the identification accuracy. Finally, the method was applied to the frequency conversion refrigerator, and the experimental results were compared with the original data. This method could effectively solve problems such as inaccurate identification of the d,q axis inductance and long identification time of the refrigerator motor with back pressure. The experimental results showed that the new method was feasible and effective.
引文
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[13] 姜杰,王学斌,殷家敏,等.基于感应电动机复数简化模型的参数辨识研究[J].电力系统保护与控制,2014,42(19): 87.
[14] 丁蓝,班诗淇,曾博.基于RRLS的电网戴维南等值参数辨识研究[J].电气技术,2017,18(2): 78.
[15] 沈艳霞,靳保龙.永磁同步电机模糊遗忘因子最小二乘法参数辨识[J].系统仿真学报,2018,30(9): 3404.
[2] 李勇,李智,牛军浩,等.基于矢量控制的异步电机参数离线辨识策略[J].微特电机,2016,44(1): 64.
[3] 张瑞峰,詹哲军,李岩,等.永磁同步电机离线参数辨识方法研究[J].机车电动机,2016(3): 18.
[4] XUE X D,CHENG K W E,CHEUNG N C. Multiobjective optimization design of inwheel switched motors in electric vehicles[J].IEEE Transactions on Industrial Electronics,2010,57(9): 2980.
[5] HOREN Y, STRAJNIKOV P, KUPERMAN A. Simple mechanical parameters identification of induction machine using voltage sensor only[J].Energy Conversion and Management,2015,92: 60.
[6] 戴亮,黄志远,陈业明,等.静止状态下异步电动机参数离线辨识方法[J].微特电机,2014,42(2): 33.
[7] 王莉娜,薛飞.基于RLS的永磁同步电机离线参数辨识研究[J].电气传动,2015,45(5): 16.
[8] 史文凡,贾洪平,颜建虎,等.一种改进的电动汽车用异步电机参数离线辨识方法研究[J].电气工程学报,2017,12(5): 28.
[9] 史婷娜,刘华,陈炜,等.考虑逆变器非线性因素的表贴式永磁同步电机参数辨识[J].电工技术学报,2017,32(7): 77.
[10] 李旭春,张鹏,严乐阳,等.具有参数辨识的永磁同步电机无位置传感器控制[J].电工技术学报,2016,31(14): 139.
[11] 沈小军,李梧桐,乔冠伦,等.同步发电机励磁系统模型参数离线辨识自动寻优方法[J].电工技术学报,2018,33(18): 4257.
[12] 张秀丽,黄旭,杨德亮,等.基于正交投影与多新息RLS的PMSM参数辨识[J].电力系统保护与控制,2018,46(14): 33.
[13] 姜杰,王学斌,殷家敏,等.基于感应电动机复数简化模型的参数辨识研究[J].电力系统保护与控制,2014,42(19): 87.
[14] 丁蓝,班诗淇,曾博.基于RRLS的电网戴维南等值参数辨识研究[J].电气技术,2017,18(2): 78.
[15] 沈艳霞,靳保龙.永磁同步电机模糊遗忘因子最小二乘法参数辨识[J].系统仿真学报,2018,30(9): 3404.