Modeling and output tracking of transverse flux permanent magnet machines using high gain observer and RBF Neural network-Reference-Cited by-同舟云学术

Modeling and output tracking of transverse flux permanent magnet machines using high gain observer and RBF Neural network

Published:2005-10 Issue:4 Volume:44 Page:445-456
ISSN:0019-0578
Container-title:ISA Transactions
language:en
Short-container-title:ISA Transactions

Author:

Karimi H.R.,Babazadeh A.

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference21 articles.

1. Babazadeh, A., Parspour, N., and Hanifi, A., Transverse flux machine for direct drive robots: Modelling and analysis. IEEE Conference on Robotics, Automation and Mechatronics, pp. 376-380, Singapore, 2004.

2. Dubois, M. R., Optimised permanent magnet generator topologies for direct-drive wind turbines. Ph.D. Dissertation, Delft University of Technology, 2004.

3. Karimi, H. R., Babazadeh, A., and Parspour, N., Robust output tracking of transverse flux machines using RBF neural network. IEEE Conference on Robotics, Automation and Mechatronics, pp. 496-501, Singapore, 2004.

4. Analysis of shifted transverse flux reluctance motor;Babazadeh,2004

5. Adaptive control of variable reluctance motors; spline function approach;Bortoff;IEEE Trans. Ind. Electron.,1998

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