Fractional Order Sliding Mode Control based Model Predictive Current Control of Multi-phase Induction Motor Drives

  • Irfan Sami
  • , Ubaid Ur Rehman
  • , Amber Shehzadi
  • , Naseer Ahmad
  • , Shafaat Ullah
  • , Sadjad Madanzadeh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

A high robust and accurate control system is required to regulate the speed and torque in multi-phase induction motors. A fractional order sliding mode control is employed in this paper to model a robustified and chattering free control paradigm using the basic mathematical formulation of sliding mode control. The proposed control scheme eliminates the inherent chattering in sliding mode control using the fraction calculus theory. Model predictive control is used in the inner loop to produce an optimal switching states for five phase induction motor. The analysis of the aforementioned control strategies provides effective and smooth speed convergence with less error showing a superior performance over conventional PI and SMC schemes. The efficacy of the proposed design is analyzed using the IM model developed in MATLAB/Simulink.

Original languageEnglish
Title of host publicationProceedings - 2020 23rd IEEE International Multi-Topic Conference, INMIC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728198934
DOIs
StatePublished - 5 Nov 2020
Externally publishedYes

Publication series

NameProceedings - 2020 23rd IEEE International Multi-Topic Conference, INMIC 2020

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

  • component
  • formatting
  • insert
  • style
  • styling

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Health Informatics

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