Hybrid pid and pso-based control for electric power assist steering system for electric vehicle

Electric power assist steering (EPAS) system provides an important significance in enhancing the driving performance of a vehicle with its energy-conserving features. This paper presents a hybrid PID (Proportional-Integral-Derivative) and particle swarm optimization (PSO) based control scheme to...

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Main Authors: Hanifah, Rabiatul A., Toha, Siti Fauziah, Ahmad, Salmiah
Format: Article
Language:English
Published: IOP Publishing 2013
Subjects:
Online Access:http://irep.iium.edu.my/33873/
http://irep.iium.edu.my/33873/
http://irep.iium.edu.my/33873/
http://irep.iium.edu.my/33873/1/rabiatul.pdf
id iium-33873
recordtype eprints
spelling iium-338732014-01-20T01:10:33Z http://irep.iium.edu.my/33873/ Hybrid pid and pso-based control for electric power assist steering system for electric vehicle Hanifah, Rabiatul A. Toha, Siti Fauziah Ahmad, Salmiah TJ212 Control engineering Electric power assist steering (EPAS) system provides an important significance in enhancing the driving performance of a vehicle with its energy-conserving features. This paper presents a hybrid PID (Proportional-Integral-Derivative) and particle swarm optimization (PSO) based control scheme to minimize energy consumption for EPAS. This single objective optimization scheme is realized using the PSO technique in searching for best gain parameters of the PID controller. The fast tuning feature of this optimum PID controller produced high-quality solutions. Simulation results show the performance and effectiveness of the hybrid PSO-PID based controller as opposed to the conventional PID controller. IOP Publishing 2013 Article PeerReviewed application/pdf en http://irep.iium.edu.my/33873/1/rabiatul.pdf Hanifah, Rabiatul A. and Toha, Siti Fauziah and Ahmad, Salmiah (2013) Hybrid pid and pso-based control for electric power assist steering system for electric vehicle. IOP Conference Series: Materials Science and Engineering, 53. 012039-1. ISSN 1757-8981 http://iopscience.iop.org/1757-899X/53/1/012039 10.1088/1757-899X/53/1/012039
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TJ212 Control engineering
spellingShingle TJ212 Control engineering
Hanifah, Rabiatul A.
Toha, Siti Fauziah
Ahmad, Salmiah
Hybrid pid and pso-based control for electric power assist steering system for electric vehicle
description Electric power assist steering (EPAS) system provides an important significance in enhancing the driving performance of a vehicle with its energy-conserving features. This paper presents a hybrid PID (Proportional-Integral-Derivative) and particle swarm optimization (PSO) based control scheme to minimize energy consumption for EPAS. This single objective optimization scheme is realized using the PSO technique in searching for best gain parameters of the PID controller. The fast tuning feature of this optimum PID controller produced high-quality solutions. Simulation results show the performance and effectiveness of the hybrid PSO-PID based controller as opposed to the conventional PID controller.
format Article
author Hanifah, Rabiatul A.
Toha, Siti Fauziah
Ahmad, Salmiah
author_facet Hanifah, Rabiatul A.
Toha, Siti Fauziah
Ahmad, Salmiah
author_sort Hanifah, Rabiatul A.
title Hybrid pid and pso-based control for electric power assist steering system for electric vehicle
title_short Hybrid pid and pso-based control for electric power assist steering system for electric vehicle
title_full Hybrid pid and pso-based control for electric power assist steering system for electric vehicle
title_fullStr Hybrid pid and pso-based control for electric power assist steering system for electric vehicle
title_full_unstemmed Hybrid pid and pso-based control for electric power assist steering system for electric vehicle
title_sort hybrid pid and pso-based control for electric power assist steering system for electric vehicle
publisher IOP Publishing
publishDate 2013
url http://irep.iium.edu.my/33873/
http://irep.iium.edu.my/33873/
http://irep.iium.edu.my/33873/
http://irep.iium.edu.my/33873/1/rabiatul.pdf
first_indexed 2023-09-18T20:48:58Z
last_indexed 2023-09-18T20:48:58Z
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