Universiti Teknologi Malaysia Institutional Repository

LQR tuning by particle swarm optimization of full car suspension system

Assahubulkahfi, Muhammad and Md. Sam, Yahaya and Maseleno, Andino and Huda, Miftachul (2018) LQR tuning by particle swarm optimization of full car suspension system. International Journal of Engineering and Technology(UAE), 7 (2.13). pp. 328-331. ISSN 2227-524X

Full text not available from this repository.

Official URL: https://www.sciencepubco.com/index.php/ijet/articl...

Abstract

This paper attempts to examine the potential value in showing the performance of Particle Swarm Optimization (PSO) in order to pro-duce diagonal components of matrix Q, R. The linear model was used in this system, because it has ability to describe all basic perfor-mance that exist in full car vehicle suspension system such as roll, pitch, body sprung and each wheel vertical movement. Performance of suspension system measured by range of acceleration arise in automobile body. Drive handling and comfort is an opposite condition. Balancing condition of both define quality of control strategy of suspension system. The disturbances are applied to all tires in testing scenario of applied control algorithm. The simulation result shown better performance of LQR tuning by PSO than passive and LQR without tuning system

Item Type:Article
Uncontrolled Keywords:car, suspension system
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:82362
Deposited By: Siti Nor Hashidah Zakaria
Deposited On:30 Sep 2019 13:04
Last Modified:30 Sep 2019 13:04

Repository Staff Only: item control page