| 基于递推最小二乘算法的感应电动机参数离线辨识 |
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| 引用本文： | 张虎,李正熙,童朝南. 基于递推最小二乘算法的感应电动机参数离线辨识[J]. 中国电机工程学报, 2011, 31(18) |
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| 作者姓名： | 张虎 李正熙 童朝南 |
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| 作者单位： | 1. 钢铁流程先进控制教育部重点实验室(北京科技大学)北京市海淀区100083
2. 北方工业大学电力电子与电气传动工程中心,北京市石景山区,100144 |
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| 摘 要： | 感应电动机参数离辨识是实现高性能变频调速的前提.对基于递推最小二乘(recursive least-squares,RLS)算法的电机参数离线辨识的具体实现进行了详细阐述:基于离线辨识时电机的静止特性,简化了电机数学模型,减少了计算量;采用改进欧拉数值解法,求解巴特沃思数字滤波状态方程,既可获得信号的滤波值,同时又直接解得了信号的1阶和2阶导数值,避免了导数离散化的误差影响,提高了运算精度;运用线性反馈移位寄存器产生伪随机白噪声序列(M序列),作为辨识的激励信号;针对不同功率的电机进行了大量的仿真和实验研究,实验结果表明所提方法稳定性良好,辨识结果的一致性和准确性较高.
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| 关 键 词： | 感应电动机 参数辨识 递推最小二乘 状态变量滤波器 M序列 |
Off-line Parameter Identification of Induction Motor Based on Recursive Least-squares Algorithm |
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| ZHANG Hu , LI Zhengxi , TONG Chaonan. Off-line Parameter Identification of Induction Motor Based on Recursive Least-squares Algorithm[J]. Proceedings of the CSEE, 2011, 31(18) |
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| Authors: | ZHANG Hu LI Zhengxi TONG Chaonan |
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| Affiliation: | ZHANG Hu1,LI Zhengxi2,TONG Chaonan1(1.Key Laboratory of Advanced Control of Iron and Steel Process(University of Science & Technology Beijing),Ministry of Education,Haidian District,Beijing 100083,China,2.Power Electronics & Motor Drivers Engineering Center,North China University of Technology,Shijingshan District,Beijing 100144,China) |
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| Abstract: | The off-line parameters identification of induction motor is the prerequisite condition of realizing high performance frequency control.An off-line parameter identification of induction motor based on recursive least-squares(RLS) algorithm was presented in the dissertation.Based on the motor static character of off-line parameter identification,the method simplified the motor mathematic model and reduced the computation amount.Figuring out the Butterworth digital filter state equation through improved Euler... |
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| Keywords: | induction motor parameter identification recursive least-squares(RLS) state variable filter M sequence |
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