Abstract
The characteristics of a linear Quadratic Regulator (LQR) are hinged upon two parameters and they are, the state weighting matrix Q and the Control weighting matrix R. In this study Global Best Inertia Weight modified variant of the particle swarm optimization algorithm was used to determine these two important parameters of an LQR which was then used to control a bus suspension system. The evaluation of the open loop and closed loop showed that the closed loop system attained a steady state in a time of 350.36 seconds compared to the open loop system (47,734.3 seconds) when both systems were subjected to pot hole (step) signal.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
