Vol. 54 No. 03 (2005): Volume 54 Number 03, June 2005
Articles

Sensorless adaptive output tracking of transverse flux permanent magnet machines

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  • Hamidreza KARIMI,
  • Amir BABAZADEH,
  • Parviz Jabedar MARALANI,
  • Behzad MOSHIRI,
  • Nejila PARSPOUR
Hamidreza KARIMI
University of Tehran, Electrical and Computer Engineering Department, Tehran, Iran
Amir BABAZADEH
Inst. of Electrical Drives, Power Electronics and Devices, University of Bremen, Bremen, Germany
Parviz Jabedar MARALANI
University of Tehran, Electrical and Computer Engineering Department, Tehran, Iran
Behzad MOSHIRI
University of Tehran, Electrical and Computer Engineering Department, Tehran, Iran
Nejila PARSPOUR
Inst. of Electrical Drives, Power Electronics and Devices, University of Bremen, Bremen, Germany

Published 02/01/2005

Keywords

  • Transverse Flux Permanent Magnet Machine

How to Cite

KARIMI, Hamidreza, Amir BABAZADEH, Parviz Jabedar MARALANI, Behzad MOSHIRI, and Nejila PARSPOUR. 2005. “Sensorless Adaptive Output Tracking of Transverse Flux Permanent Magnet Machines”. ITU ARI Bulletin of Istanbul Technical University 54 (03):17-23. https://ari.itu.edu.tr/index.php/ituari/article/view/58.

Copyright (c) 2005 ITU Press

Creative Commons License

This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.

Abstract

This paper deals with the modeling and adaptive output tracking of a Transverse Flux Permanent Magnet Machine (TFPM) as a nonlinear system with unknown nonlinearities by utilizing high gain observer (HGO) and Radial Basis Function (RBF) networks. The technique of feedback linearization and H1 control are used to design an adaptive control law for compensating the unknown nonlinearity parts, such the effect of cogging torque, as a disturbance is decreased onto the rotor angle and angular velocity tracking performances. Finally, the capability of the proposed method is shown in the simulation results.
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