Composite Nonlinear Feedback Control with Multi-objective Particle Swarm Optimization for Active Front Steering System

Authors

  • Liyana Ramli Faculty of Science and Technology, Universiti Sains Islam Malaysia, Bandar Baru Nilai, 71800 Nilai, Negeri Sembilan, Malaysia
  • Yahaya Md. Sam Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Zaharuddin Mohamed Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • M. Khairi Aripin Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia
  • M. Fahezal Ismail Industrial Automation Section, Universiti Kuala Lumpur Malaysia France Institute, 43650 Bandar Baru Bangi, Selangor, Malaysia

DOI:

https://doi.org/10.11113/jt.v72.3877

Keywords:

MOPSO, particle swarm optimization, multiple objective, composite nonlinear feedback, active front steering system, optimization, optimal controller

Abstract

The purpose of controlling the vehicle handling is to ensure that the vehicle is in a safe condition and following its desire path. Vehicle yaw rate is controlled in order to achieve a good vehicle handling. In this paper, the optimal Composite Nonlinear Feedback (CNF) control technique is proposed for an Active Front Steering (AFS) system for improving the vehicle yaw rate response. The model used in order to validate the performance of controller is nonlinear vehicle model with 7 degree-of-freedom (DOF) and a bicycle model is implemented for the purpose of designing the controller. In designing an optimal CNF controller, the parameter estimation of linear and nonlinear gain becomes very important to produce the best output response. An intelligent algorithm is designed to minimize the time consumed to get the best parameter. To design an optimal method, Multi Objective Particle Swarm Optimization (MOPSO) is utilized to optimize the CNF controller performance. As a result, transient performance of the yaw rate has improved with the increased speed of in tracking and searching of the best optimized parameter estimation for the linear and the nonlinear gain of CNF controller.  

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Published

2015-01-05

Issue

Vol. 72 No. 2: Special Issue on Artificial Intelligence & Robotics

Section

Science and Engineering

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How to Cite

Composite Nonlinear Feedback Control with Multi-objective Particle Swarm Optimization for Active Front Steering System. (2015). Jurnal Teknologi, 72(2). https://doi.org/10.11113/jt.v72.3877