Comparison of Two Novel MRAS Based Strategies for Identifying Parameters in Permanent Magnet Synchronous Motors

被引：32

作者：

Liu, Kan ^{[1
,2
]}

Zhang, Qiao ^{[2
,3
]}

Zhu, Zi-Qiang ^{[2
]}

Zhang, Jing ^{[1
]}

Shen, An-Wen ^{[3
]}

Stewart, Paul ^{[2
,4
]}

机构：

[1] Hunan Univ, Sch Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China

[2] Univ Sheffield, Dept Elect & Elect Engn, Sheffield S1 3JD, S Yorkshire, England

[3] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Wuhan 430074, Hubei, Peoples R China

[4] Univ Salford, Dept Aeronaut & Automot Engn, Manchester M5 4WT, England

来源：

INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING | 2010年 / 7卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Permanent magnet synchronous motors (PMSM); model reference adaptive system (MRAS); Lyapunov stability theorem; Popov stability criterion; parameter identification;

D O I：

10.1007/s11633-010-0535-3

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Two model reference adaptive system (MRAS) estimators are developed for identifying the parameters of permanent magnet synchronous motors (PMSM) based on the Lyapunov stability theorem and the Popov stability criterion, respectively. The proposed estimators only need online measurement of currents, voltages, and rotor speed to effectively estimate stator resistance, inductance, and rotor flux-linkage simultaneously. The performance of the estimators is compared and verified through simulations and experiments, which show that the two estimators are simple, have good robustness against parameter variation, and are accurate in parameter tracking. However, the estimator based on the Popov stability criterion, which can overcome parameter variation in a practical system, is superior in terms of response speed and convergence speed since there are both proportional and integral units in the estimator, in contrast to only one integral unit in the estimator based on the Lyapunov stability theorem. In addition, the estimator based on the Popov stability criterion does not need the expertise that is required in designing a Lyapunov function.

引用

页码：516 / 524

页数：9

共 22 条

[1]

[Anonymous], 2008, P IEEE IND APPL SOC

[2] Extended Kalman filter tuning in sensorless PMSM drives [J].

Bolognani, S ;

Tubiana, L ;

Zigliotto, M .

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2003, 39 (06) :1741-1747

[3]

Bolognani S, 1997, ISIE '97 - PROCEEDINGS OF THE IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS, VOLS 1-3, P480, DOI 10.1109/ISIE.1997.648995

[4]

Bolzern P, 1997, IEEE DECIS CONTR P, P4677, DOI 10.1109/CDC.1997.649726

[5] Inverter output voltage synthesis using novel dead time compensation [J].

Choi, JW ;

Sul, SK .

IEEE TRANSACTIONS ON POWER ELECTRONICS, 1996, 11 (02) :221-227

[6] PARAMETER-DEPENDENT LYAPUNOV FUNCTIONS AND THE POPOV CRITERION IN ROBUST ANALYSIS AND SYNTHESIS [J].

HADDAD, WM ;

BERNSTEIN, DS .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1995, 40 (03) :536-543

[7]

Kim KH, 1995, IEEE IND ELEC, P387, DOI 10.1109/IECON.1995.483427

[8]

Kojabadi H.M., 2006, POW EL SPEC C 2006 P, P1, DOI 10.1109/PESC.2006.1712038

[9] Synchronisation based adaptive parameter identification for permanent magnet synchronous motors [J].

Liu, L. ;

Cartes, D. A. .

IET CONTROL THEORY AND APPLICATIONS, 2007, 1 (04) :1015-1022

[10] Sensorless adaptive neural network control of permanent magnet synchronous motors [J].

Liu, T ;

Elbuluk, M ;

Husain, I .

IEMDC'99 - IEEE INTERNATIONAL ELECTRIC MACHINES AND DRIVES CONFERENCE, PROCEEDINGS, 1999, :287-289

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