Grey feedback linearization speed control for induction servo motor drive

R. Wai, Rou-Yong Duan, Li-Jung Chang
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引用次数: 15

Abstract

This study mainly focuses on the development of an uncertainty predictor based on the grey theory as a possible solution to improve the shortcoming of the traditional feedback linearization control scheme. Moreover, the newly designed grey feedback linearization control system is implemented for an indirect field-oriented induction servo motor drive to track periodic speed commands. In the proposed control system, a grey uncertainty predictor is designed to adjust the lumped uncertainty existing in the induction servo motor drive into a feedback linearization control law on line. In addition, the effectiveness of the proposed control scheme is verified by both the simulated and experimental results. With the proposed control system, the controlled induction servo motor drive possesses the advantages of good tracking control performance and robustness to uncertainties.
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感应伺服电机驱动的灰色反馈线性化速度控制
本文主要研究了基于灰色理论的不确定性预测器的开发,以改善传统反馈线性化控制方案的缺点。在此基础上,对间接磁场定向感应伺服电机驱动器进行了灰色反馈线性化控制,以跟踪周期速度指令。在该控制系统中,设计了灰色不确定性预测器,将感应伺服电机驱动中存在的集总不确定性在线调整为反馈线性化控制律。仿真和实验结果验证了所提控制方案的有效性。采用该控制系统,控制的感应伺服电机驱动器具有良好的跟踪控制性能和对不确定性的鲁棒性。
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