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Reference Tracking by Designing State Estimation Observer for Generalized Predictive Control of a Single Inductor Dual Output Buck Converter

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Sustainable Energy and Technological Advancements

Part of the book series: Advances in Sustainability Science and Technology ((ASST))

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Abstract

A generalized predictive control (GPC) for an unconstrained two output buck converter system is presented in this paper. Stability analysis of predictive control is challenging to prove; hence, a more straightforward idea of stability analysis for a basic GPC optimization is validated for a general GPC cost function. As classical control is less effective in controlling a multi-input multi-output (MIMO) system, in which the outputs are coupled in nature, and predictive control is implemented to show the effectiveness. MATLAB numerical simulation results of the controller are included for validation.

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Author information

Authors and Affiliations

  1. Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, Guwahati, India

    Kamakshi Manjari & Somanath Majhi

Authors
  1. Kamakshi Manjari
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  2. Somanath Majhi
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Corresponding author

Correspondence to Kamakshi Manjari .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, National Institute of Technology Meghalaya, Shillong, India

    Gayadhar Panda

  2. School of Electrical and Electronic Engineering, Newcastle University, Singapore, Singapore

    R. T. Naayagi

  3. Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India

    Sukumar Mishra

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Manjari, K., Majhi, S. (2022). Reference Tracking by Designing State Estimation Observer for Generalized Predictive Control of a Single Inductor Dual Output Buck Converter. In: Panda, G., Naayagi, R.T., Mishra, S. (eds) Sustainable Energy and Technological Advancements. Advances in Sustainability Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-16-9033-4_5

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  • DOI: https://doi.org/10.1007/978-981-16-9033-4_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-9032-7

  • Online ISBN: 978-981-16-9033-4

  • eBook Packages: EnergyEnergy (R0)

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