Low-Speed Performance of Sensorless Vector Control for Induction Motor Based on Two-Parameter Identified Adaptive Full-Order Observer
Yin Zhonggang1, 2, Zhang Yanqing1, Du Chao1, Sun Xiangdong1, Zhong Yanru1
1. Department of Electrical Engineering Xi’an University of Technology Xi’an 710048 China; 2. State Key Lab of Electrical Insulation and Power Equipment Xi’an Jiaotong University Xi’an 710049 China
Abstract:A novel sensorless vector control method for induction motor is proposed, based on two-parameter identified adaptive full-order observer. The system stability is analyzed according to the Popov hyper stability theory. Based on the traditional adaptive full-order observer, the selection principle of feedback gain matrix scheme is studied. And then a proper feedback gain matrix is designed to ensure the system stability in the full speed range. After analyzing the impacts of the stator resistance variation over the speed estimation in low-speed range, the two-parameter identified adaptive full-order observer is designed. The designed observer can identify the rotor speed and stator resistance simultaneously. Therefore, the low-speed performance with load is improved effectively. The experiments have verified the designed observer.
尹忠刚, 张延庆, 杜超, 孙向东, 钟彦儒. 基于双辨识参数全阶自适应观测器的感应电机低速性能[J]. 电工技术学报, 2016, 31(20): 111-121.
Yin Zhonggang, Zhang Yanqing, Du Chao, Sun Xiangdong, Zhong Yanru. Low-Speed Performance of Sensorless Vector Control for Induction Motor Based on Two-Parameter Identified Adaptive Full-Order Observer. Transactions of China Electrotechnical Society, 2016, 31(20): 111-121.
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