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A Comparative Analysis of Determination of Design Parameters of Boost and Buck–Boost Converters Using Artificial Intelligence

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Book cover Advances in Systems, Control and Automation

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 442))

Abstract

Conventionally, mathematical calculations based on formulas are required to model and design any converter for software or hardware implementation. However, in this chapter, an alternative method has been suggested to replace the conventional method of formula-based mathematical calculations by developing a hybrid model known as adaptive neuro-fuzzy inference system (ANFIS). It is a hybrid system which combines two most important methodologies of soft computation namely artificial neural network and fuzzy logic. It has been used as the tool in MATLAB platform to determine the design parameters of Boost and Buck–Boost converters. The alternative suggested in this chapter also focuses on reduction of computational time and susceptibility toward human error in mathematical calculation.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Majitar, India

    Ipsita Das &  Moumi Pandit

Authors
  1. Ipsita Das
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  2. Moumi Pandit
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Correspondence to Moumi Pandit .

Editor information

Editors and Affiliations

  1. Clinical Engineering, University of Virginia Health System, Charlottesville, Virginia, USA

    Avinash Konkani

  2. Department of Electronics and Communication Engineering, Sikkim Manipal Institute of Technology(SMIT), Rangpo, Sikkim, India

    Rabindranath Bera

  3. Department of Energy Engineering, North-Eastern Hill University, Shillong, Megalaya, India

    Samrat Paul

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Ipsita Das, Moumi Pandit (2018). A Comparative Analysis of Determination of Design Parameters of Boost and Buck–Boost Converters Using Artificial Intelligence. In: Konkani, A., Bera, R., Paul, S. (eds) Advances in Systems, Control and Automation. Lecture Notes in Electrical Engineering, vol 442. Springer, Singapore. https://doi.org/10.1007/978-981-10-4762-6_11

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  • DOI: https://doi.org/10.1007/978-981-10-4762-6_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4761-9

  • Online ISBN: 978-981-10-4762-6

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