Speed-sensorless Vector Control of Linear Induction Motor Drives System Based Backstepping Control Theory

被引:0
|
作者
Wang H. [1 ]
Xie D. [1 ]
Yao B. [1 ]
Ge X. [1 ]
机构
[1] Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, Southwest Jiaotong University, Chengdu, 610031, Sichuan Province
基金
中国国家自然科学基金;
关键词
Backstepping control theory; Linear induction motor (LIM); Lyapunov stability theory; Model reference adaptive system (MRAS); Speed-sensorless drive system;
D O I
10.13334/j.0258-8013.pcsee.180288
中图分类号
学科分类号
摘要
The speed-sensorless vector control performance of linear induction motor (LIM) drive system is deteriorated because of the significant parameter variations of LIM associated with the dynamic end effects. Aiming at realizing high performance of the LIM speed-sensorless vector control system, a speed estimation scheme by combing backstepping control theory with model reference adaptive system (MRAS) theory in the sensorless-vector-controlled linear induction motor drives for medium-low speed maglev applications was proposed. Firstly, a state space-vector model of the LIM considering the dynamic end effects was shown in detail by regarding the stator current and rotor flux as the state variables; then, the state equations of the LIM were rearranged with additional state variables. The observer model of the LIM with correction terms was designed based on backstepping control theory, which was considered as the adaptive model of MRAS-based speed estimator. Correspondingly, the actual LIM model was used to replace the reference model of the MRAS-type speed estimation scheme. The Lyapunov stability theory was adopted for the realization of the speed estimation algorithm. The effectiveness and feasibility of the proposed speed estimation algorithm have been verified by simulation and hardware-in-the-loop (HIL) tests. The test results verify the validity of the proposed speed estimation scheme. © 2018 Chin. Soc. for Elec. Eng.
引用
收藏
页码:6711 / 6722
页数:11
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