Scopus Document details 1 of 1 Swarm - Intelligence Tuned Current Reduction for Power - Assisted Steering Control in Electric Vehicles (Article) , , , Department of Mechatronics, Faculty of Engineering, International Islamic University Malaysia (IIUM), Kuala Lumpur, Malaysia Department of Electrical and Computer Engineering, Faculty of Engineering Girls Campus, King Abdulaziz University, Jeddah, Saudi Arabia Department of Electrical and Electronic Engineering, Universiti Putra Malaysia, Selangor, Malaysia Abstract In electric vehicle technology, battery energy conservation is paramount due to the dependency of all system operations on the available battery. The proportional, integral and derivative (PID) controller parameters in the electric power assisted steering system for electric vehicle need to be tuned with the optimal performance setting so that less current is needed for its operation. This proposed two methods under the umbrella of swarm-intelligence technique namely particle swarm optimization (PSO) and ant colony optimization (ACO) in order to reduce current consumption and to improve controller performance. The investigation involves an analysis on the convergence behavior of both techniques in search for accurate controller parameters. A comprehensive assessment on the assist current supplied to the assist motor of the system is also presented. Investigation reveals that the proposed controllers, PID-PSO and PID- ACO are able to reduce the assist current supplied to the assist motor as compared to the conventional PID controller. This study also demonstrate the feasibility of applying both swarm-intelligence tuning method in terms of reduced time taken to tune the PID controller as compared to the conventional tuning method. © 1982-2012 IEEE. Author keywords Ant colony optimization (ACO) electric power steering system electric vehicle particle swarm optimization (PSO) Indexed keywords Engineering controlled terms: Ant colony optimization Artificial intelligence Automobile steering equipment Axles Controllers Damping Electric batteries Electric control equipment Electric machine control Electric power system control Electric vehicles Mathematical models Proportional control systems Secondary batteries Steering Swarm intelligence Three term control systems Torque Traction motors Tuning Vehicles Compendex keywords Ant Colony Optimization (ACO) Comprehensive assessment Controller performance Electric power steering system Power-assisted steering Proportional , integral and derivative controllers Roads Swarm intelligence techniques Engineering main heading: Particle swarm optimization (PSO) ◅ Back to results  Export  Download  Print  E-mail Save to PDF ⋆ Add to List ▻ More... View at Publisher IEEE Transactions on Industrial Electronics Volume 65, Issue 9, September 2018, Pages 7202-7210 Hanifah, R.A. a  Toha, S.F. a  Ahmad, S. b  Hassan, M.K. c   a b c  View references (25) ISSN: 02780046 CODEN: ITIED DOI: 10.1109/TIE.2017.2784344 Document Type: Article PlumX Metrics Usage, Captures, Mentions, Social Media and Citations beyond Scopus. Metrics 0 Citations in Scopus 0 Field-Weighted Citation Impact Cited by 0 documents Inform me when this document is cited in Scopus: Related documents , , (2015) Proceedings - 7th International Conference on Intelligent Computation Technology and Automation, ICICTA 2014 , (2009) Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS , , (2016) Energy   Set citation alert ▻ ▻ Set citation feed An improved nonlinear fitting method and its application in function approximation based on particle swarm algorithm Fei, X. Qiang, L. Bei, J. Generation of optimal functions using particle swarm method over discrete intervals Shamieh, F. Xu, C. Power reduction optimization with swarm based technique in electric power assist steering system Abu Hanifah, R. Toha, S.F. Hassan, M.K.