TY - GEN
T1 - Design and Tuning of Fractional Order Pid (Fopid) Controller for Speed Control of Electric Vehicle on Concrete Roads
AU - George, Mary Ann
AU - Kamath, Dattaguru V.
PY - 2020/1
Y1 - 2020/1
N2 - 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.
AB - 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.
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U2 - 10.1109/PESGRE45664.2020.9070457
DO - 10.1109/PESGRE45664.2020.9070457
M3 - Conference contribution
AN - SCOPUS:85084375715
T3 - 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy, PESGRE 2020
BT - 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy, PESGRE 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy, PESGRE 2020
Y2 - 2 January 2020 through 4 January 2020
ER -