Implementation Of Robust Composite Nonlinear Feedback For Active Front Steering Based Vehicle Yaw Stability

Che Hasan, Mohd Hanif and Md Sam, Yahaya and Aripin, Muhamad Khairi and Harun, Mohamad Haniff and Mohamad @ Abd Rahman, Syahrul Hisham (2017) Implementation Of Robust Composite Nonlinear Feedback For Active Front Steering Based Vehicle Yaw Stability. Jurnal Teknologi, 79 (5-2). pp. 39-43. ISSN 0127-9696

Text 2017 Jurnal Teknologi - Robust CNF.pdf Restricted to Registered users only Download (468kB)

Abstract

n this paper, Robust Composite Nonlinear Feedback (CNF) was implemented on Active Front Steering (AFS) vehicle system for yaw stability control. In this control system, the main objective is to get excellent transient response of vehicle yaw rate and at the same time resist to side wind disturbance. To cater unknown constant disturbance, non-integral function for Robust CNF version is used. Meanwhile for vehicle model, 7 degree of freedom vehicle body with Pacejka Tire formula model for typical passenger car is used to simulate controlled vehicle. The computer simulation by Matlab software is performed to evaluate the system performance in J-Turn and Single sine steer with magnitude from 1 to 3.1 degree with additional 400 Nm external side wind disturbance. By using typical Proportional Integration and Derivative (PID) control auto-tuned by Matlab as comparison, the new designed controller demonstrates higher capability to track reference signal faster and having minimal tracking error during disturbance occur where having less than 0.01 degree compared 0.22 degree by PID. The Robust CNF based designed control system is able to compensate disturbance effect efficiently and also has super-fast tracking as classical CNF.

Item Type:	Article
Uncontrolled Keywords:	Active front steering, Yaw rate control, Vehicle stability control, Robust control, Composite nonlinear feedback
Divisions:	Faculty of Engineering Technology > Department of Electrical Engineering Technology
Depositing User:	Muhammad Afiz Ahmad
Date Deposited:	20 Sep 2017 08:35
Last Modified:	01 Aug 2021 19:40
URI:	http://eprints.utem.edu.my/id/eprint/19206
Statistic Details:	View Download Statistic

Actions (login required)

View Item