Adaptive Fuzzy Backstepping Controller of Induction Machine

被引：0
|
作者：
Issaouni, S. [1 ]
Boulkroune, A. [2 ]
Chekireb, H. [1 ]
机构：
[1] ENP, LCP, BP 182,10 Ave Hassan Badi, El Harrach, Alger, Algeria
[2] Univ Jijel, LAJ, Jijel 18000, Algeria
来源：
2015 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING (ICEE) | 2015年
关键词：
Induction motors; adaptive fuzzy systems; backstepping control; friction model;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a novel adaptive fuzzy backstepping control scheme is developed for induction machines with unknown model, uncertain load-torque and nonlinear friction. fuzzy systems are used to online approximate the uncertain nonlinearities and an adaptive backstepping technique is employed to systematically construct the control law. The proposed adaptive fuzzy controller guarantees the tracking error converge to a small neighborhood of the origin and the boundedness of all closed-loop signals. These neuro-fuzzy systems are adjusted on-line according to some adaptation laws deduced from the stability analysis in the sense of Lyapunov. Simulation results are provided to demonstrate the effectiveness of the proposed approach.
引用
收藏
页码：151 / +
页数：6
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