Robust nonlinear observer design for permanent magnet synchronous motors

被引:7
|
作者
Pyrkin, Anton [1 ,2 ]
Bobtsov, Alexey [1 ,3 ]
Ortega, Romeo [1 ,4 ]
Vedyakov, Alexey [1 ]
Cherginets, Dmitry [1 ]
Ovcharov, Alexey [1 ]
Bazylev, Dmitry [1 ]
Petranevsky, Igor [1 ]
机构
[1] ITMO Univ, Fac Control Syst & Robot, 49 Kronverksky Pt, St Petersburg 197101, Russia
[2] Innopolis Univ, Ctr Technol Robot & Mechatton Components, Innopolis, Russia
[3] Inst Problems Mech Engn, Lab Control Complex Syst, St Petersburg, Russia
[4] ITAM, Dept Acad Sistemas Digitales, Ciudad De Mexico, Mexico
来源
IET CONTROL THEORY AND APPLICATIONS | 2021年 / 15卷 / 04期
关键词
EXTENDED KALMAN FILTER; SENSORLESS-CONTROL; POSITION; ESTIMATORS;
D O I
10.1049/cth2.12065
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper is devoted to the application of a recently proposed globally convergent adaptive position observer to non-salient permanent magnet synchronous motors. Following the Dynamic Regressor Extension and Mixing Based Adaptive Observer (DREMBAO) approach, a new finite-time robust observer is presented that allows to track adaptively the rotor position by measuring only the currents and voltages and without knowledge of mechanical, electrical and magnetic parameters. A numerical example for the case with different rotor speeds and time-varying load torque is considered to reveal the advantages of the proposed approach in comparison with other existing methods. Experimental studies of the proposed robust nonlinear observer implementation are presented to illustrate the efficiency of the new design technique in different speed modes together with adaptive estimation of unknown parameters.
引用
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页码:604 / 616
页数:13
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