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基于参数自优化的感应电机无速度传感器稳定性研究 被引量:1

Study on Stability of Sensorless Induction Motor Based on Parameter Self-optimization
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摘要 感应电机无速度传感器矢量控制系统在低速发电运行时经常出现不稳定现象,用间接磁场定向电压模型求出只与电机机械角频率相关的磁链状态方程,然后对感应电机电压模型进行系统动力学分析,指出电压模型存在多平衡点状况,并采用矢量图对平衡点的稳定性进行分析,得出了电压模型的稳定性判据。最后采用基于参数自优化的电压模型使平衡点的稳定性能得到了改善。仿真和实验结果验证了方法的正确性和可行性。 Low- speed regenerating mode of induction motor with sensorless drives often appears unstable phenomenon. The flux equation only related to electrical rotor speed was obtained using indirect field oriented voltage model, and the system dynamics was adopted to analyze voltage model of induction motor, which indicated that multiple equilibria exist in voltage model. The stability of the equilibria was analyzed according to the vector diagrams and the criteria of stability of induction motor were obtained. At last, the stability of equilibria was developed by using parameter self-optimization voltage model. The correctness and feasibility of the proposed method are verified by simulation and experiment results.
出处 《电气传动》 北大核心 2015年第10期11-16,共6页 Electric Drive
关键词 无速度传感器矢量控制 间接磁场定向 低速稳定性 参数自优化电压模型 sensorless vector control indirect field oriented low-speed stability parameter serf-optimization voltage model
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