Research on Anti-Error Performance of Speed and Flux Estimation for Induction Motors Based on Robust Adaptive State Observer
Research on Anti-Error Performance of Speed and Flux Estimation for Induction Motors Based on Robust Adaptive State Observer
复制标题
基于鲁棒自适应状态观测器的感应电机速度和磁通估计抗误差性能研究
DOI：
10.1109/tie.2016.2524414
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发表时间：
2016-02
影响因子：
7.7
通讯作者：
Zhong, Yanru
中科院分区：
文献类型：
--
作者：
Du, Chao;Liu, Jing;Sun, Xiangdong;Zhong, Yanru
作为自适应状态观测器的改进，提出了一种基于鲁棒自适应状态观测器的异步电机转速和磁链估计方法。分析了粗误差对自适应状态观测器估计精度的影响。讨论了鲁棒自适应状态观测器是否比传统的自适应状态观测器具有更好的估计性能和鲁棒性。通过仿真和实验，比较了鲁棒自适应状态观测器在严重外部干扰和内部估计误差下的速度估计误差和通量波动。仿真和实验结果表明，鲁棒自适应状态观测器比传统的自适应状态观测器具有更好的抗粗误差估计性能。
A speed and flux estimation method for induction motors (IMs) based on robust adaptive state observer is proposed in this paper as a modification of the adaptive state observer. The effect of gross errors on estimation accuracy of the adaptive state observer is analyzed. Whether the robust adaptive state observer can give better estimation performance and robust ability than traditional adaptive state observer for speed and flux estimation of IMs is discussed. Through the simulation and experiments, the speed estimated error and the flux fluctuation of robust adaptive state observer by gross external disturbance and internal estimated error is compared with traditional adaptive state observer. The simulation and experimental results show that the robust adaptive state observer has the better estimation performance of antigross error than traditional adaptive state observer.
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影响因子：
7.7
作者：
S. Wade;M. W. Dunnigan;B. Williams
通讯作者：
S. Wade;M. W. Dunnigan;B. Williams
影响因子：
4.8
作者：
C. M. Verrelli;A. Savoia;M. Mengoni;R. Marino;P. Tomei;L. Zarri
通讯作者：
C. M. Verrelli;A. Savoia;M. Mengoni;R. Marino;P. Tomei;L. Zarri
影响因子：
7.7
作者：
T. Orłowska-Kowalska;M. Dybkowski
通讯作者：
T. Orłowska-Kowalska;M. Dybkowski
DOI：
10.1109/wcica.2012.6359042
发表时间：
2012-07
期刊：
Proceedings of the 10th World Congress on Intelligent Control and Automation
影响因子：
--
作者：
Maogang Wu;Xiaogang Xuan;Xing Chen
通讯作者：
Maogang Wu;Xiaogang Xuan;Xing Chen
影响因子：
2.6
作者：
D. Traore;J. D. León;A. Glumineau
通讯作者：
D. Traore;J. D. León;A. Glumineau