Design and Tuning of Fractional Order Pid (Fopid) Controller for Speed Control of Electric Vehicle on Concrete Roads

Mary Ann George, Dattaguru V. Kamath

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The paper presents the design of FOPID controller for speed control of an electric vehicle. This study considers the transfer function model for speed control of an electric vehicle specifically on concrete roads. The performance of the system using integer-order PID (IOPID) and FOPID controllers are compared. The IOPID controller parameters \mathrm{K}-{\mathrm{p}}, \mathrm{K}-{\mathrm{i}} and \mathrm{K}-{\mathrm{d}} are designed using conventional tuning methods like ZieglerNichols (ZN), Cohen-Coon (CC), Astrom-Hagglund (AH) and Chien-Hrones-Reswick (CHR). These controller parameter values are set as initial values for FOPID tuning and are also used to determine the order of integration (\mathrm{s}^{\lambda}) and differentiation (\mathrm{s}^{\mu}) with different optimization methods like Nelder-Mead (NM), Interior-Point (IP) and Active-set (AS) algorithm using the Matlab FOMCON toolbox. The paper also describes different FOPID tuning methods like Ziegler-Nichols, Padula and Visioli and tuning by minimization.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy, PESGRE 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728142517
DOIs
Publication statusPublished - 01-2020
Event2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy, PESGRE 2020 - Cochin, India
Duration: 02-01-202004-01-2020

Publication series

Name2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy, PESGRE 2020

Conference

Conference2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy, PESGRE 2020
CountryIndia
CityCochin
Period02-01-2004-01-20

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Control and Optimization

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