LQR tuning by particle swarm optimization of full car suspension system

• Main Authors: Assahubulkahfi, Muhammad, Md. Sam, Yahaya, Maseleno, Andino, Huda, Miftachul
• Format: Article
• Published: International Journal of Engineering and Technology 2018
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/82362/; https://www.sciencepubco.com/index.php/ijet/article/view/13479/5394

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