Neural Network Based Nonsingular Terminal Sliding-Mode Control of Induction Motors

被引：0
|
作者：
Zhou, Minghao [1 ]
Feng, Yong [2 ]
Xue, Chen [2 ]
Xu, Long [3 ]
机构：
[1] Harbin Univ Sci & Technol, Sch Elect & Elect Engn, Harbin, Peoples R China
[2] Harbin Inst Technol, Dept Elect Engn, Harbin, Peoples R China
[3] Southeast Univ, Sch Automat, Nanjing, Peoples R China
来源：
45TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2019) | 2019年
基金：
中国国家自然科学基金; 澳大利亚研究理事会;
关键词：
Siding-mode control; neural network; induction motors; field orientation control; uncertain systems; VECTOR CONTROL;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper proposes a neural network based nonsingular terminal sliding-mode control for the position servo system of induction motors. A systematic design of the position and flux controllers is developed to implement the robust control of induction motors. The proposed method is presented by combining the neural network and the nonsingular terminal sliding-mode control. The method can compensate the uncertainties and enhance the stablity of induction motor systems. The controllers can attenuate the chattering phenomenon and can be directly applied in the position servo system of induction motors. The simulations validate the proposed method.
引用
收藏
页码：6538 / 6542
页数：5
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