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基于双参数模型参考自适应的感应电机无速度传感器矢量控制低速性能 被引量:41

Low-Speed Performance for Induction Motor Sensorless Vector Control Based on Two-Parameter Model Reference Adaptation
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摘要 提出了一种基于双参数模型参考自适应的感应电机无速度传感器矢量控制策略,可以同时进行转速辨识和定子电阻辨识,能够有效削弱低速时定子电阻变化对系统的影响,提高了系统的低速带载性能;推导了转速闭环系统的线性化小信号模型,利用根轨迹法分析了系统的稳定性及PI参数对系统性能的影响。对双参数模型参考自适应算法进行了实验验证,并与传统模型参考自适应算法进行了对比,实验结果验证了算法的有效性。 A novel sensorless vector control method for induction motor based on two-parameter model reference adaptive is proposed in this paper. The rotor speed and stator resistance could be identified simultaneously, and the impact of stator resistance change at low speed is weakened effectively. The linear small-signal model of speed closed-loop system is derived, and the stability of system and the impact of PI parameter are analyzed. The two-parameter model reference adaptation is verified by the experiment and compared with the traditional adaptive model. The experimental results verify the effectiveness of the algorithm.
出处 《电工技术学报》 EI CSCD 北大核心 2012年第7期124-130,共7页 Transactions of China Electrotechnical Society
基金 陕西省重点学科建设专项资金(00X901) 陕西省自然科学基金(2011JQ7020) 陕西省教育厅科学研究计划(11JK0884)资助项目
关键词 双参数 模型参考自适应 感应电机 转速辨识 Two-parameter, model reference adaptation, induction motor, speed identification
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参考文献11

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二级参考文献14

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