LQR Tuning by Particle Swarm Optimization of Full Car Suspension System

  • Authors

    • Muhammad Assahubulkahfi
    • Yahaya Md. Sam
    • Andino Maseleno
    • Miftachul Huda
    2018-04-15
    https://doi.org/10.14419/ijet.v7i2.13.13479
  • Car, Suspension System, Optimization, Modeling

  • Abstract

    This paper attempts to examine the potential value in showing the performance of Particle Swarm Optimization (PSO) in order to produce diagonal components of matrix Q, R. The linear model was used in this system, because it has ability to describe all basic performance 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.

  • References

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  • How to Cite

    Assahubulkahfi, M., Md. Sam, Y., Maseleno, A., & Huda, M. (2018). LQR Tuning by Particle Swarm Optimization of Full Car Suspension System. International Journal of Engineering & Technology, 7(2.13), 328-331. https://doi.org/10.14419/ijet.v7i2.13.13479

    Received date: 2018-05-29

    Accepted date: 2018-05-29

    Published date: 2018-04-15