基于双辨识参数全阶自适应观测器的感应电机低速性能

Low-Speed Performance of Sensorless Vector Control for Induction Motor Based on Two-Parameter Identified Adaptive Full-Order Observer

提出了一种基于双辨识参数全阶自适应观测器的感应电机无速度传感器矢量控制策略,根据Popov超稳定性理论对系统进行了稳定性分析,在深入研究传统全阶自适应观测器的基础上,对保证系统在全速范围内稳定运行的反馈增益矩阵选取准则进行分析并据此设计了反馈增益矩阵。通过分析低速时定子电阻变化对转速估计的影响,构建了双辨识参数全阶自适应观测器,可以同时对转速和定子电阻进行在线辨识,有效提高了系统的低速带载性能。对基于双辨识参数全阶自适应观测器的感应电机无速度传感器矢量控制系统进行了实验验证,实验结果验证了算法的正确性和有效性。

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.