Extending mathematical model of permanent magnet synchronous motors in alpha-beta coordinate system for EKF

12th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011 - Proceedings

Volumn , Issue , 2011, Pages 457-460

  Vesely, L ^a   Zamecnik, D ^a  

^a BRNO UNIVERSITY OF TECHNOLOGY   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

ALPHA-BETA; CO-ORDINATE SYSTEM; CONTROL DRIVES; CONVENTIONAL ALGORITHMS; LOW SPEED; MATHEMATICAL PERFORMANCE; PERMANENT MAGNET SYNCHRONOUS MOTOR; ROTOR POSITION; SPEED ESTIMATION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; INFORMATION SCIENCE; MATHEMATICAL MODELS; SYNCHRONOUS MOTORS;

PERMANENT MAGNETS;

EID: 84855953850     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CINTI.2011.6108548     Document Type: Conference Paper

References (6)

1. C. Bowen, Z. Jihua, and R. Zhang, Modeling and Simulation of Permanent Magnet Schronous Motor Drives, Northwestern Polytechnical University, 2001, pp. 905-908.
2. E. R. Kalman, A new approach to linear filtering and prediction problems, Transactions of the ASME-Journal of Basic Engineering, vol. 82, no. Series D, 1960, pp. 35-45.
3. M. Kosaka, and H. Uda, Sensorless ipmsm drive with ekf estimation of speed and rotor position, Proceedings of 42nd IEEE Conference on Decision and Control, vol. 6, December 2003, pp. 5915-5920.
4. M. K. Rahman, and S. Hiti, Identification of Machine Parametres of a Sychronous Motor, 0-7803-7883-0/03, Torrance, USA, 2003.
5. P. Vas, Sensorless vector and direct torque control, ISBN 0-19-856465-1, Oxford, 1998.
6. G. Welch, and G. Bishop, An introduction to the Kalman filter, Technical Report 95-041, Univ. of North Carolina at Chapel Hill, Dept. of Computer Science, 1995.