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EX-CCII based FOPID controller for electric vehicle speed control

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

    Abstract

    The paper presents a fractional analog scheme using an Extra-X second-generation current conveyor (EX-CCII) to realize a fractional-order PID (FOPID) controller. The FOPID controller is designed for an electric vehicle speed control application, considering a second-order model of the electric vehicle. The controller parameters are designed using the Astrom-Hagglund (AH) tuning technique. The order of integrator and differentiator stages are obtained by using the Neider-Mead (NM) optimization technique. The circuit is realized using a single active element and RC network. The controller performance parameters are evaluated using the LTspice simulator for TSMC 0.35 μm CMOS process.

    Original languageEnglish
    Title of host publication2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2020 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages47-51
    Number of pages5
    ISBN (Electronic)9781728198859
    DOIs
    Publication statusPublished - 30-10-2020
    Event2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2020 - Udupi, India
    Duration: 30-10-202031-10-2020

    Publication series

    Name2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2020 - Proceedings

    Conference

    Conference2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2020
    Country/TerritoryIndia
    CityUdupi
    Period30-10-2031-10-20

    All Science Journal Classification (ASJC) codes

    • Computer Science Applications
    • Computer Vision and Pattern Recognition
    • Hardware and Architecture
    • Electrical and Electronic Engineering
    • Control and Optimization
    • Artificial Intelligence
    • Computer Networks and Communications

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