Analysis of PID Control Algorithms for Transfer Function Model of Electric Vehicle
Vinayambika S. Bhat1, Akshitha G. Shettigar2, Nikhitha3, Nidhi Dayanand4, K. P. Vishal Kumar5
1Vinayambika S Bhat, Department of ECE, Mangalore Institute of Technology and Engineering, Moodbidri (Karnataka), India.
2Akshitha G Shettigar, Department of ECE, Mangalore Institute of Technology and Engineering, Moodbidri (Karnataka), India.
3Nikhitha, Department of ECE, Mangalore Institute of Technology and Engineering, Moodbidri (Karnataka), India.
4Nidhi Dayanand, Department of ECE, Mangalore Institute of Technology and Engineering, Moodbidri (Karnataka), India.
5K P Vishal Kumar, Department of ECE, Mangalore Institute of Technology and Engineering, Moodbidri (Karnataka), India.
Manuscript received on 07 June 2019 | Revised Manuscript received on 30 June 2019 | Manuscript Published on 04 July 2019 | PP: 1022-1026 | Volume-8 Issue-1S4 June 2019 | Retrieval Number: A11890681S419/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In Electric Vehicles (EV) energy is stored in rechargeable batteries which is used to drive one or more electric motors. As electric vehicles are making big waves in automobiles world, modelling and simulation of Electric Vehicle have got high attention among researchers. Controlling an Electric Vehicle is not an easy task, as the design and operational parameters vary along with the road conditions. The article presents the design and simulation of conventional control algorithms for Electric Vehicle. The transfer function model of the Electric Vehicle is considered for the design and analysis in MATLAB/Simulink platform. It is found that Proportional Integral Derivative (PID) controller is simple and feasible, along with better-closed loop performance with and without disturbance. The work includes the control of the electric vehicle by designing three different control algorithms: i) Cohen-Coon (CC), ii) Wang-Juang-Chan (WJC) and iii) Chine-Hrones-Reswick (CHR) algorithm for the second-order transfer function model. The resulted controller is also simulated using equivalent First-Order Plus Dead Time (FOPDT) model of an electric vehicle. A comparative study has been carried out using its time domain specifications. Also, Performance Indices namely 1) Integral Square Error (ISE), 2) Integral Absolute Error (IAE), 3) Integral Time Absolute Error (ITAE), and 4) Integral Time Square Error (ITSE) are evaluated in order to identify the superiority of control techniques.
Keywords: Electric Vehicle, PID Controller, Performance Indices, Transfer Function.
Scope of the Article: Web Algorithms