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Performance analysis of PI and DMRAC algorithm in Buck-Boost Converter for voltage tracking in electric vehicle using simulation

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 (s...

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Main Authors: Islam, Maidul, Abdul Ghaffar, Alia Farhana, Sulaeman, Erwin, Ahsan, Md Manjurul, Kouzani, Abbas Z., Mahmud, M.A. Parvez
Format: Article
Language:English
English
Published: MDPI (Multidisciplinary Digital Publishing Institute) 2021
Subjects:
TJ212 Control engineering
TL1 Motor vehicles
Online Access:http://irep.iium.edu.my/97196/13/97196_Performance%20analysis%20of%20PI%20and%20DMRAC%20algorithm.pdf
http://irep.iium.edu.my/97196/18/97196_Performance%20analysis%20of%20PI%20and%20DMRAC%20algorithm_Scopus.pdf
http://irep.iium.edu.my/97196/
https://www.mdpi.com/2079-9292/10/20/2516/htm
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spelling my.iium.irep.971962022-03-14T06:27:15Z http://irep.iium.edu.my/97196/ Performance analysis of PI and DMRAC algorithm in Buck-Boost Converter for voltage tracking in electric vehicle using simulation Islam, Maidul Abdul Ghaffar, Alia Farhana Sulaeman, Erwin Ahsan, Md Manjurul Kouzani, Abbas Z. Mahmud, M.A. Parvez TJ212 Control engineering TL1 Motor vehicles 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. MDPI (Multidisciplinary Digital Publishing Institute) 2021-10-15 Article PeerReviewed application/pdf en http://irep.iium.edu.my/97196/13/97196_Performance%20analysis%20of%20PI%20and%20DMRAC%20algorithm.pdf application/pdf en http://irep.iium.edu.my/97196/18/97196_Performance%20analysis%20of%20PI%20and%20DMRAC%20algorithm_Scopus.pdf Islam, Maidul and Abdul Ghaffar, Alia Farhana and Sulaeman, Erwin and Ahsan, Md Manjurul and Kouzani, Abbas Z. and Mahmud, M.A. Parvez (2021) Performance analysis of PI and DMRAC algorithm in Buck-Boost Converter for voltage tracking in electric vehicle using simulation. Electronics, 10 (20). pp. 1-12. E-ISSN 2079-9292 https://www.mdpi.com/2079-9292/10/20/2516/htm 10.3390/electronics10202516
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic TJ212 Control engineering
TL1 Motor vehicles
spellingShingle TJ212 Control engineering
TL1 Motor vehicles
Islam, Maidul
Abdul Ghaffar, Alia Farhana
Sulaeman, Erwin
Ahsan, Md Manjurul
Kouzani, Abbas Z.
Mahmud, M.A. Parvez
Performance analysis of PI and DMRAC algorithm in Buck-Boost Converter for voltage tracking in electric vehicle using simulation
description 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.
format Article
author Islam, Maidul
Abdul Ghaffar, Alia Farhana
Sulaeman, Erwin
Ahsan, Md Manjurul
Kouzani, Abbas Z.
Mahmud, M.A. Parvez
author_facet Islam, Maidul
Abdul Ghaffar, Alia Farhana
Sulaeman, Erwin
Ahsan, Md Manjurul
Kouzani, Abbas Z.
Mahmud, M.A. Parvez
author_sort Islam, Maidul
title Performance analysis of PI and DMRAC algorithm in Buck-Boost Converter for voltage tracking in electric vehicle using simulation
title_short Performance analysis of PI and DMRAC algorithm in Buck-Boost Converter for voltage tracking in electric vehicle using simulation
title_full Performance analysis of PI and DMRAC algorithm in Buck-Boost Converter for voltage tracking in electric vehicle using simulation
title_fullStr Performance analysis of PI and DMRAC algorithm in Buck-Boost Converter for voltage tracking in electric vehicle using simulation
title_full_unstemmed Performance analysis of PI and DMRAC algorithm in Buck-Boost Converter for voltage tracking in electric vehicle using simulation
title_sort performance analysis of pi and dmrac algorithm in buck-boost converter for voltage tracking in electric vehicle using simulation
publisher MDPI (Multidisciplinary Digital Publishing Institute)
publishDate 2021
url http://irep.iium.edu.my/97196/13/97196_Performance%20analysis%20of%20PI%20and%20DMRAC%20algorithm.pdf
http://irep.iium.edu.my/97196/18/97196_Performance%20analysis%20of%20PI%20and%20DMRAC%20algorithm_Scopus.pdf
http://irep.iium.edu.my/97196/
https://www.mdpi.com/2079-9292/10/20/2516/htm
_version_ 1728051169852391424
score 13.211869

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