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Second-Order Sliding Mode Controller for a DC Motor Using Prescribed Law of Variation

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Advances in Electrical and Computer Technologies (ICAECT 2020)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 711))

Abstract

To design robust controllers for dynamic plant operating under uncertain conditions, one of the efficient approaches is sliding mode control. SMC offers low sensitivity to plant parameter variations and has disturbance rejection properties that eliminate necessity for exact modelling. Regulation of speed of a DC motor with prescribed control law of second-order SMC strategy under disturbance, parameter variation, normal operating conditions are presented in this paper. Simulation studies have been performed in the MATLAB environment considering second-order SMC strategy with prescribed law.

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Authors and Affiliations

  1. Department of EE, Andhra University, Visakhapatnam, India

    P. Sneha, B. Amarendra Reddy, G. Neelima Sai & N. Beauty

Authors
  1. P. Sneha
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  2. B. Amarendra Reddy
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  3. G. Neelima Sai
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  4. N. Beauty
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Corresponding author

Correspondence to P. Sneha .

Editor information

Editors and Affiliations

  1. Department of Electrical and Electronics Engineering, SVS College of Engineering, Coimbatore, Tamil Nadu, India

    Thangaprakash Sengodan

  2. Department of Electronic and Communication Engineering, Kuwait College of Science and Technology, Doha, Kuwait

    M. Murugappan

  3. Department of Computer and Information Sciences, Covenant University, Ota, Nigeria

    Sanjay Misra

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Sneha, P., Amarendra Reddy, B., Neelima Sai, G., Beauty, N. (2021). Second-Order Sliding Mode Controller for a DC Motor Using Prescribed Law of Variation. In: Sengodan, T., Murugappan, M., Misra, S. (eds) Advances in Electrical and Computer Technologies. ICAECT 2020. Lecture Notes in Electrical Engineering, vol 711. Springer, Singapore. https://doi.org/10.1007/978-981-15-9019-1_76

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  • DOI: https://doi.org/10.1007/978-981-15-9019-1_76

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-9018-4

  • Online ISBN: 978-981-15-9019-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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