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Volume 10
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10.3390/electronics10202516
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Article

Performance Analysis of PI and DMRAC Algorithm in Buck–Boost Converter for Voltage Tracking in Electric Vehicle Using Simulation

by
Maidul Islam
1,
Alia Farhana Abdul Ghaffar
1,*,
Erwin Sulaeman
1,
Md Manjurul Ahsan
2,
Abbas Z. Kouzani
3 and
M. A. Parvez Mahmud
3
1
Department of Mechanical Engineering, International Islamic University Malaysia, Gombak, Kuala Lumpur 53100, Malaysia
2
School of Industrial & Systems Engineering, University of Oklahoma, Norman, OK 73019, USA
3
School of Engineering, Deakin University, Geelong, VIC 3216, Australia
*
Author to whom correspondence should be addressed.
Electronics 2021, 10(20), 2516; https://doi.org/10.3390/electronics10202516
Submission received: 10 September 2021 / Revised: 7 October 2021 / Accepted: 9 October 2021 / Published: 15 October 2021
(This article belongs to the Topic Optimisation, Optimal Control and Nonlinear Dynamics in Electrical Power, Energy Storage and Renewable Energy Systems)
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Abstract

This study introduces a Direct Model Reference Adaptive Control (DMRAC) algorithm in a buck–boost converter in the power distribution of an electric vehicle. In this study, DMRAC was used in order to overcome the system nonlinearity due to load demand variation, in case of different driving modes (such as acceleration, stable and regenerative braking system mode), and the presence of disturbances in the system. DMRAC receives popularity because of its robustness in the presence of nonlinearity and ensuring system stability. To evaluate the efficacy of DMRAC in the current system, its performance was compared with a PI controller in the MATLAB/Simulink environment. The simulation results show the superiority of DMRAC over a conventional PI control approach, in both variable load demand and disturbed system cases that were measured by tracking error. The improvement was seen in the DMRAC response, with smaller tracking error and faster transient and disturbance rejection. The main contribution of this work is in introducing DMRAC, particularly in a buck–boost converter, and its efficacy with a DC–DC converter for an electric vehicle, which has not been studied before.
Keywords: adaptive control; DC–DC converter; buck–boost converter; PI controller; electric vehicle adaptive control; DC–DC converter; buck–boost converter; PI controller; electric vehicle

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MDPI and ACS Style

Islam, M.; Abdul Ghaffar, A.F.; Sulaeman, E.; Ahsan, M.M.; Kouzani, A.Z.; Mahmud, M.A.P. Performance Analysis of PI and DMRAC Algorithm in Buck–Boost Converter for Voltage Tracking in Electric Vehicle Using Simulation. Electronics 2021, 10, 2516. https://doi.org/10.3390/electronics10202516

AMA Style

Islam M, Abdul Ghaffar AF, Sulaeman E, Ahsan MM, Kouzani AZ, Mahmud MAP. Performance Analysis of PI and DMRAC Algorithm in Buck–Boost Converter for Voltage Tracking in Electric Vehicle Using Simulation. Electronics. 2021; 10(20):2516. https://doi.org/10.3390/electronics10202516

Chicago/Turabian Style

Islam, Maidul, Alia Farhana Abdul Ghaffar, Erwin Sulaeman, Md Manjurul Ahsan, Abbas Z. Kouzani, and M. A. Parvez Mahmud. 2021. "Performance Analysis of PI and DMRAC Algorithm in Buck–Boost Converter for Voltage Tracking in Electric Vehicle Using Simulation" Electronics 10, no. 20: 2516. https://doi.org/10.3390/electronics10202516

APA Style

Islam, M., Abdul Ghaffar, A. F., Sulaeman, E., Ahsan, M. M., Kouzani, A. Z., & Mahmud, M. A. P. (2021). Performance Analysis of PI and DMRAC Algorithm in Buck–Boost Converter for Voltage Tracking in Electric Vehicle Using Simulation. Electronics, 10(20), 2516. https://doi.org/10.3390/electronics10202516

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