Flux position estimation in cage induction machines using synchronous HF injection and Kalman filtering

被引:43
作者
Caruana, C [1 ]
Asher, GM [1 ]
Bradley, KJ [1 ]
Woolfson, M [1 ]
机构
[1] Univ Nottingham, Sch Elect & Elect Engn, Nottingham NG7 2RD, England
关键词
harmonic elimination; saturation; sensorless torque control; standard induction machine; vector control;
D O I
10.1109/TIA.2003.816533
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper proposes a new approach to the tracking of the flux position saliency of an induction machine by means of high-frequency (HF) signal injection in the synchronous rotating frame. The paper will show that existing synchronous pulsating injection methods perform poorly in the presence of secondary saliencies. A modified scheme is proposed in which a rotating HF field is established in the dq rotating reference frame. The scheme enhances the performance of harmonic elimination methods to reduce the effects of secondary saliencies. A new harmonic elimination method based on the Kalman filter is proposed in the paper. Experimental results are given showing the effectiveness of the harmonic elimination and the resulting tracking of the saturation saliency.
引用
收藏
页码:1372 / 1378
页数:7
相关论文
共 19 条
[1]  
AIME M, 1999, EPE 99 LAUS SWITZ SE
[2]  
BLASCHKE F, 1994, IEEE IAS ANN M, P503
[3]  
Briz F, 2000, IEEE IND APPLIC SOC, P1842, DOI 10.1109/IAS.2000.882130
[4]  
CONSOLI A, 2001, IEEE IAS ANN M
[5]   Rotor position and velocity estimation for a salient-pole permanent magnet synchronous machine at standstill and high speeds [J].
Corley, MJ ;
Lorenz, RD .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 1998, 34 (04) :784-789
[6]  
Degner MW, 1997, IEEE IND APPLIC SOC, P760, DOI 10.1109/IAS.1997.643153
[7]  
Ha JI, 1997, IEEE IND APPLIC SOC, P426, DOI 10.1109/IAS.1997.643058
[8]   Sensorless position control of induction motors - An emerging technology [J].
Holtz, J .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 1998, 45 (06) :840-852
[9]  
HOLTZ J, 2002, IEEE IAS ANN M, V3, P1695
[10]  
HOLTZ J, 2002, IEEE IAS ANN M, V3, P1687