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首页> 外文期刊>Asian Journal of Control >DEVELOPMENT OF A NOVEL SELF-TUNED ADAPTIVE SUPERVISORY CEREBELLAR MODEL ARTICULATION CONTROLLER FOR INDUCTION MOTOR DRIVE
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DEVELOPMENT OF A NOVEL SELF-TUNED ADAPTIVE SUPERVISORY CEREBELLAR MODEL ARTICULATION CONTROLLER FOR INDUCTION MOTOR DRIVE

机译：感应电动机驱动的新型自调整自适应超监督小脑模型关节控制器的开发

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摘要

This work presents a novel speed control scheme for an induction motor (IM) using an adaptive supervisory differential cerebellar model articulation controller (ASDCMAC). The ASDCMAC has a supervisory controller and an adaptive differential cerebellar model articulation controller (ADCMAC), and the ASDCMAC is utilized as the speed controller. The supervisory controller monitors the control process to keep speed tracking error within a predefined range, and the ADCMAC learns and approximates system dynamics. The connective weights of ADCMAC are adjusted online, according to adaptive rules derived in Lyapunov stability theory, to ensure system stability. The robustness of the proposed ASDCMAC against parameter variations and external load torque disturbances is verified via simulations and experiments, respectively. Three control schemes, the ASDCMAC, fuzzy control, and PI control, are investigated experimentally, and a performance index, root mean square error (RMSE), is utilized for each scheme. The experimental results demonstrate that the ASDCMAC outperforms the two other control schemes with external load torque variations.
机译：这项工作提出了一种新的使用自适应监督小脑模型关节控制器（ASDCMAC）的感应电动机（IM）的速度控制方案。 ASDCMAC具有一个监控控制器和一个自适应差分小脑模型关节控制器（ADCMAC），并且ASDCMAC被用作速度控制器。监督控制器监视控制过程，以将速度跟踪误差保持在预定范围内，而ADCMAC则学习并估算系统动态。根据Lyapunov稳定性理论得出的自适应规则，可以在线调整ADCMAC的连接权重，以确保系统的稳定性。分别通过仿真和实验验证了所提出的ASDCMAC对参数变化和外部负载转矩干扰的鲁棒性。实验研究了三种控制方案，即ASDCMAC，模糊控制和PI控制，每种方案均采用了性能指标，均方根误差（RMSE）。实验结果表明，在外部负载转矩变化的情况下，ASDCMAC的性能优于其他两个控制方案。

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  • 来源
    《Asian Journal of Control》 |2013年第4期|1021-1035|共15页
  • 作者

    S. Y. Wang; C. L. Tseng; C.H. Tseng;

  • 作者单位

    Department of Electrical Engineering, National Taipei University of Technology, 1, Sec. 3, Chung-hsiao E. Rd., Taipei, 10608, Taiwan;

    Department of Electrical Engineering, National Taipei University of Technology, 1, Sec. 3, Chung-hsiao E. Rd., Taipei, 10608, Taiwan;

    Department of Electrical Engineering, National Taipei University of Technology, 1, Sec. 3, Chung-hsiao E. Rd., Taipei, 10608, Taiwan;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Field oriented control; speed control; adaptive control; on-line turning; Lyapunov stability;

    机译：磁场定向控制;速度控制;自适应控制在线车削李雅普诺夫稳定性;

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