Research on Anti-Error Performance of Speed and Flux Estimator for Induction Motor Using Robust Reduced-Order EKF

Research on Anti-Error Performance of Speed and Flux Estimator for Induction Motor Using Robust Reduced-Order EKF
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鲁棒降阶EKF感应电机速度磁通估计器抗误差性能研究

DOI:
10.1109/tii.2012.2222422
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发表时间:
2013-05
影响因子:
12.3
通讯作者:
Zhong, Yanru
Zhong, Yanru
中科院分区:
计算机科学1区
文献类型:
--
作者:
Yin, Zhonggang;Zhao, Chang;Liu, Jing;Zhong, Yanru

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提出了一种基于鲁棒降阶扩展卡尔曼滤波(RROEKF)的异步电机速度和磁链估计方法,并分析了粗误差对降阶扩展卡尔曼滤波估计精度的影响。探讨了RROEKF在异步电机转速和磁链估计方面是否具有比ROEKF更好的估计性能和鲁棒性。比较了粗糙外部扰动和内部估计误差对RROEKF速度估计误差和磁通波动的影响。仿真和实验结果表明,RROEKF比ROEKF和EKF具有更好的抗粗误差估计性能。
A novel speed and flux estimator of induction motor based on robust reduced-order extended Kalman filter (RROEKF) is proposed in this paper, and the effect of gross error on estimation accuracy of reduced-order EKF (ROEKF) was analyzed. Whether RROEKF can give better estimation performance and robust ability than ROEKF for speed and flux estimation of induction machines is explored. The speed estimated error and the flux fluctuation of RROEKF by gross external disturbance and internal estimated error is compared with ROEKF. The simulation and experimental results show that RROEKF has the better estimation performance of anti-gross error than ROEKF and EKF.
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