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基于模型参考自适应的异步电机矢量控制系统 被引量:5

Vector Control of Asynchronous Motor Based on Model Reference Adaptive System
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摘要 以异步电动机矢量控制的基本方程式为基础,构建了一个无速度传感器矢量控制系统。该系统的转速估计采用模型参考自适应控制理论,并对自适应机构以分段变参数方式进行改进,以提高估计速度和精度;转速调节器利用模糊自适应PI进行改进,以提高异步电机的可靠性和鲁棒性。仿真结果表明,该控制系统动态性能良好,转速估计能快速准确地跟踪,系统具有较强的鲁棒性和稳定性。 A speed sensorless vector control system was established based on the fundamental equation of vector control of asynchronous motor. The theory of model referencing adaptive control was applied to the system rotor-speed- estimation and the adaptive institutions were modified by way of segmented variable parameters in order to improve the estimation speed and accuracy; The adaptive fuzzy PI control was brought in speed regulator to improve the reliability and robustness of asynchronous motor, Simulation results showed that the system had a better dynamic performance and tracked the variation of the motor speed accurately, and it had strong robustness and stability.
出处 《湖南工业大学学报》 2012年第4期46-51,共6页 Journal of Hunan University of Technology
关键词 矢量控制 模糊自适应 无速度传感器 MRAS vector control adaptive fuzzy control speed sensorless MRAS
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  • 1Griva G,Profumo F,Bojoi R,et al.General adaptation law for MRAS high performance sensorless induction motor drives[J].PESC,IEEE 32nd Annual,2001(2):1197-1202 被引量:1
  • 2schauder C.Adaptive speed identification for vector control of induction motors without rotational transducers[J].IEEE Transactions on Industial Applications,1992,28(5):1054-1061 被引量:1
  • 3Lin F J,Wai R J,Lin P C.Robust speed sensorless induction motor drive[J].IEEE Transactions on Industrial Electronics.1999,35(2):566-578 被引量:1
  • 4Peng F Z,Fukao T.Robust speed identification for speed-sensorless vector control of induction motors[J].IEEE Transactions Industial Applications,1994,30(5):1234-1240 被引量:1
  • 5曾岳南,冯垛生,陈伯时.速度推算转差频率矢量控制[J].电气传动,2000,30(6):12-15. 被引量:5

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同被引文献33

  • 1王天将,许镇琳,张剑,蔡毅.感应电机矢量控制系统的神经网络转速辨识[J].计算机仿真,2005,22(6):121-123. 被引量:1
  • 2曹霄,丁荣军,王坚.基于高频信号注入法辨识转速在异步电动机无速度传感器控制系统中的应用[J].变流技术与电力牵引,2007(1):52-56. 被引量:1
  • 3贺晓蓉,刘述喜,陈新岗.基于SVPWM的异步电机矢量控制系统的仿真[J].计算机仿真,2007,24(4):322-325. 被引量:23
  • 4K D Hurst, T G Habetler. A Comparison of Spectrum Estimation Techniques for Sensorless Speed Detection in Induction Machines I J]. IEEE Transactions on Industry Apllication, 1997-4:898- 905. 被引量:1
  • 5Y R Kim, Seung-Ki Sul, M H Park. Speed sensorless vector con- trol of an induction motor using an extended Kalman filter[ C]. In- dustry Aplication Society Annual Metting, 1992-1:594-599. 被引量:1
  • 6Seong-Hwan Kim, et al. Speed-Sensorless Vector Control of an Induction Motor Using Neural Network Speed Estimation[J]. IEEE Transactions on Industry Electronics, 2001,21 (6) :609-613. 被引量:1
  • 7C Sehauder. Adaptive Speed Identification for Vector Control of Induction Motors without Rotational Transducers [ J ]. IEEE Transactions on Industry Application, 1992-5:1054-1061. 被引量:1
  • 8Peng Fang-Zheng, T Fukac. Robust Speed Identification for Speed Sensorless Vector Control of Induction Motors [ J ]. IEEE Transactions on Industry Applications. 1994, 5 ( 30 ) : 1234 - 1240. 被引量:1
  • 9Dong Lei, Li Yongdong, Liao Xiaozhong. Novel speed sensorless vector control with adaptive rotor flux identification of induction motors[ J ]. IEEE Transactions on Industry Applications, 2003, 29(3) :1691-1696. 被引量:1
  • 10I D Landau著,吴百凡译.自适应控制-模型参考自适应法[M].北京:国防工业出版社,1985. 被引量:1

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