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Applications of Sliding Mode Control pp 269–297Cite as

DTC-SVM-Based Sliding Mode Controllers with Load Torque Estimators for Induction Motor Drives

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Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 79))

Abstract

In order to improve performances of the induction motor (IM) speed control under sliding mode (SM) DTC-SVM, the paper proposes a SM DTC-SVM based adaptive load torque. The aim of the suggested approach consists to discard load disturbances effects on the IM operating. For this reason, an adaptive estimator of the load torque has been developed to overcome this drawback. The load torque has been considered as a combination of the following three types: a constant load torque, a linear load torque and a quadratic load torque. Simulation results clearly show that SM DTC-SVM strategy with load estimator offers best performances and load disturbances effects can be completely discarded. Thus, the improvement of the proposed adaptive approach has been observed.

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Authors and Affiliations

  1. Control and Energy Management Laboratory (CEMLab), Sfax Engineering School, University of Sfax, Sfax, Tunisia

    Fatma Ben Salem & Nabil Derbel

Authors
  1. Fatma Ben Salem
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  2. Nabil Derbel
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Correspondence to Fatma Ben Salem .

Editor information

Editors and Affiliations

  1. University of Sfax, Sfax, Tunisia

    Nabil Derbel

  2. University of Tunis Carthage, Urbain Nord, Tunisia

    Jawhar Ghommam

  3. University of the West of England, Bristol, United Kingdom

    Quanmin Zhu

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© 2017 Springer Science+Business Media Singapore

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Ben Salem, F., Derbel, N. (2017). DTC-SVM-Based Sliding Mode Controllers with Load Torque Estimators for Induction Motor Drives. In: Derbel, N., Ghommam, J., Zhu, Q. (eds) Applications of Sliding Mode Control. Studies in Systems, Decision and Control, vol 79. Springer, Singapore. https://doi.org/10.1007/978-981-10-2374-3_14

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  • DOI: https://doi.org/10.1007/978-981-10-2374-3_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2373-6

  • Online ISBN: 978-981-10-2374-3

  • eBook Packages: EngineeringEngineering (R0)

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