Chapter
Dec 14, 2021
LQR Controller for the Vehicle Seat Suspension Optimized by Genetic Algorithm
Publication: CICTP 2021
ABSTRACT
Aiming to solve the shortcoming of the LQR when used for vehicle suspension, the genetic algorithm is designed to optimize it. By defining the chassis performance indexes, the genetic algorithm utilizes the global optimization algorithm to design the weight matrices. This method is used to improve the efficiency and control performance of the LQR controller. Then a simulation experiment is provided for the vehicle seat suspension. The simulation results show that the performances of the actively controlled vehicle suspension optimized by the genetic algorithm, such as the vertical acceleration of seat, the dynamic displacement of the seat suspension and the tire are greatly improved, compared to the passive seat suspension. The problem of deciding the weight matrices is solved.
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Published In
CICTP 2021
Pages: 2599 - 2608
History
Published online: Dec 14, 2021
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1Wuxi Institute of Communications Technology, Wuxi, China. Email: [email protected]
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ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.