The cascade optimal control of steer by wire system using hardware in the loop simulations

Hunaini, Fachrudin ORCID:, Nugroho, Fresy ORCID:, Suwandono, Purbo ORCID: and Soebiyakto, Gatot ORCID: (2022) The cascade optimal control of steer by wire system using hardware in the loop simulations. International Journal of Power Electronics and Drive Systems (IJPEDS), 13 (2). pp. 764-772. ISSN 2088-8694

10683.pdf - Published Version
Available under License Creative Commons Attribution Share Alike.

Download (916kB) | Preview


This paper aims to further improve the performance of the control system on the steer by wire (SbW) of vehicle steering system, by presenting the development of optimal control system strategy for lateral motion and yaw motion which is arranged in a cascade so that the vehicle can always be maintained on the desired trajectory. The control system strategy to be developed is fuzzy logic control (FLC) as a lateral motion control and proportional integral derivative (PID) control as a yaw motion control, and to obtain an optimal control system, the modified-quantum particle swarm optimization (MQPSO) optimization method is used. The simulations are carried out using hardware in the loop simulations (HILS) which involve hardware, namely; motor stepper actuator and rotary encoder to determine and monitor the direction of the front wheels which are applied to the vehicle dynamics model in a real time. HILS test results show that vehicle movement can be maintained according to the desired trajectory (double lane change) with an average continues-root mean square (C-RMS) error of 0.015366 for lateral motion and 0.014967 for yaw motion, the average C-RMS error is greater 23.75% for lateral motion and 28.18% for yaw motion against the results of the software in the loop simulations (SILS) test.

Item Type: Journal Article
Keywords: fuzzy logic; hardware in the loop simulations; optimization; proportional integral derivative; steer by wire
Subjects: 09 ENGINEERING > 0906 Electrical and Electronic Engineering > 090602 Control Systems, Robotics and Automation
Divisions: Faculty of Technology > Department of Informatics Engineering
Depositing User: Fresy Nugroho
Date Deposited: 24 May 2022 09:55


Downloads per month over past year

Origin of downloads

Actions (login required)

View Item View Item