Velocity control of a PMLSM using a brain emotional learning based intelligent control strategy

A velocity controller for a permanent magnet linear synchronous motor (PMLSM) is designed using a brain emotional learning based intelligent control (BELBIC). This is performed for a comprehensive nonlinear model of PMLSM including non-idealities such as detent force, parameter uncertainty, unpredic...

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Bibliographic Details
Published in2011 IEEE International Conference on System Engineering and Technology pp. 47 - 52
Main Authors Ghaebi Panah, P., Shafiei, A., Parsa Pour, A., Mirzaeian Dehkordi, B.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2011
Subjects
Brain Emotional Learning Based Intelligent Control
Brain modeling
Force
Friction
Mathematical model
Particle Swarm Optimization
Permanent Magnet Linear Synchronous Motor
Permanent magnet motors
Permanent magnets
Synchronous motors
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ISBN9781457712562
1457712563
DOI10.1109/ICSEngT.2011.5993419

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Summary:A velocity controller for a permanent magnet linear synchronous motor (PMLSM) is designed using a brain emotional learning based intelligent control (BELBIC). This is performed for a comprehensive nonlinear model of PMLSM including non-idealities such as detent force, parameter uncertainty, unpredicted disturbance, and nonlinear friction. As an evaluation criterion of the performance of the proposed method, a proportional - integral (PI) controller is designed whose parameters are optimally tuned by the particle Swarm Optimization (PSO) algorithm for better comparison.
ISBN:9781457712562
1457712563
DOI:10.1109/ICSEngT.2011.5993419