PID-Ant Colony Optimization (ACO) control for electric power assist steering system for electric vehicle

PID-Ant Colony Optimization (ACO) control for electric power assist steering system for electric vehicle

Electric Power Assist Steering (EPAS) system offers a significant potential in enhancing the driving performance of a vehicle where the energy conserving issue is important. In this paper, Ant Colony Optimization (ACO) algorithm is implemented as tuning mechanism for PID controller. The aim of...

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Main Authors: Abu Hanifah, Rabiatuladawiyah, Toha, Siti Fauziah, Ahmad, Salmiah
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
TJ212 Control engineering
Online Access:http://irep.iium.edu.my/34112/
http://irep.iium.edu.my/34112/1/ICSIMA-epas_DR_Fauziah_MCT.pdf
id iium-34112
recordtype eprints
spelling iium-341122014-01-13T03:47:00Z http://irep.iium.edu.my/34112/ PID-Ant Colony Optimization (ACO) control for electric power assist steering system for electric vehicle Abu Hanifah, Rabiatuladawiyah Toha, Siti Fauziah Ahmad, Salmiah TJ212 Control engineering Electric Power Assist Steering (EPAS) system offers a significant potential in enhancing the driving performance of a vehicle where the energy conserving issue is important. In this paper, Ant Colony Optimization (ACO) algorithm is implemented as tuning mechanism for PID controller. The aim of this hybrid controller is to minimize energy consumption of the EPAS system in Electric Vehicle (EV) by minimizing the assist current supplied to the assist motor. The ACO algorithm searching technique is applied to search for the best gain parameters of the PID controller. The fast tuning feature of ACO algorithm is the factor that distinguish this hybrid method as compared to conventional trial and error method PID controller tuning. Simulation results shows the performance and effectiveness of using ACO algorithm for PID tuning. 2013-11 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/34112/1/ICSIMA-epas_DR_Fauziah_MCT.pdf Abu Hanifah, Rabiatuladawiyah and Toha, Siti Fauziah and Ahmad, Salmiah (2013) PID-Ant Colony Optimization (ACO) control for electric power assist steering system for electric vehicle. In: 2013 IEEE International Conference on Smart Instrumentation, Measurement and Applications, 26-27 Nov 2013, Royal Bintang Kuala Lumpur.
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
Abu Hanifah, Rabiatuladawiyah
Toha, Siti Fauziah
Ahmad, Salmiah
PID-Ant Colony Optimization (ACO) control for electric power assist steering system for electric vehicle
description Electric Power Assist Steering (EPAS) system offers a significant potential in enhancing the driving performance of a vehicle where the energy conserving issue is important. In this paper, Ant Colony Optimization (ACO) algorithm is implemented as tuning mechanism for PID controller. The aim of this hybrid controller is to minimize energy consumption of the EPAS system in Electric Vehicle (EV) by minimizing the assist current supplied to the assist motor. The ACO algorithm searching technique is applied to search for the best gain parameters of the PID controller. The fast tuning feature of ACO algorithm is the factor that distinguish this hybrid method as compared to conventional trial and error method PID controller tuning. Simulation results shows the performance and effectiveness of using ACO algorithm for PID tuning.
format Conference or Workshop Item
author Abu Hanifah, Rabiatuladawiyah
Toha, Siti Fauziah
Ahmad, Salmiah
author_facet Abu Hanifah, Rabiatuladawiyah
Toha, Siti Fauziah
Ahmad, Salmiah
author_sort Abu Hanifah, Rabiatuladawiyah
title PID-Ant Colony Optimization (ACO) control for electric power assist steering system for electric vehicle
title_short PID-Ant Colony Optimization (ACO) control for electric power assist steering system for electric vehicle
title_full PID-Ant Colony Optimization (ACO) control for electric power assist steering system for electric vehicle
title_fullStr PID-Ant Colony Optimization (ACO) control for electric power assist steering system for electric vehicle
title_full_unstemmed PID-Ant Colony Optimization (ACO) control for electric power assist steering system for electric vehicle
title_sort pid-ant colony optimization (aco) control for electric power assist steering system for electric vehicle
publishDate 2013
url http://irep.iium.edu.my/34112/
http://irep.iium.edu.my/34112/1/ICSIMA-epas_DR_Fauziah_MCT.pdf
first_indexed 2023-09-18T20:49:13Z
last_indexed 2023-09-18T20:49:13Z
_version_ 1777409881360302080

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