ADAPTIVE CONTROL OF PMSM SYSTEMS WITH CHAOTIC NATURE USING LYAPUNOV STABILITY BASED FEEDBACK LINEARIZATION

被引：0
|
作者：
Cho, Hyun Cheol [1 ]
Lee, Kwon Soon [1 ]
Fadali, M. Sami [2 ]
机构：
[1] Dong A Univ, Dept Elect Engn, Pusan 604714, South Korea
[2] Univ Nevada, Dept Elect Engn, Reno, NV 89557 USA
来源：
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL | 2009年 / 5卷 / 02期
关键词：
Adaptive control; PMSM; Chaos; Feedback linearization; Lyapunov stability;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Chaos in motor systems is undesirable in real-time implementation because it results in motor speed oscillations changes in steady-state torque. This paper presents an adaptive control approach for time-varying permanent-magnet synchronous motor (PMSM) systems with chaotic behavior. We consider bounded perturbations in the system parameters. First, we transform the nonlinear PMSM model to derive a nominal linear control strategy. Then, we design an auxiliary control to compensate for real-time control errors due to parameter changes using Lyapunov stability theory. We, numerically simulate our PMSM controller and demonstrate its efficiency and reliability when compared to traditional controllers.
引用
收藏
页码：479 / 488
页数：10
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