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

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.

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Abstract

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.

Item Type:	Conference or Workshop Item (Full Paper)
Additional Information:	4680/34112
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ212 Control engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Dr. Siti Fauziah Toha
Date Deposited:	13 Jan 2014 11:47
Last Modified:	13 Jan 2014 11:47
URI:	http://irep.iium.edu.my/id/eprint/34112

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