Multi-Mode Active Suspension Control Based on a Genetic K-Means Clustering Linear Quadratic Algorithm

Multi-Mode Active Suspension Control Based on a Genetic K-Means Clustering Linear Quadratic Algorithm

The traditional Linear quadratic regulator (LQR) control algorithm depends too much on expert experience during the selection of weighting coefficients. To solve this problem, we proposed a Genetic K-means clustering Linear quadratic (GKL) algorithm. Firstly, a 2-DOF 1/4 vehicle model and road input...

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Detalles Bibliográficos
Autores principales: Kun Wu, Jiang Liu, Min Li, Jianze Liu, Yushun Wang
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
active suspension
machine learning
LQR control
K-means clustering
genetic algorithm
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Acceso en línea:https://doaj.org/article/ac4376cedf2f42edbbb2f0df991d8858
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https://doaj.org/article/ac4376cedf2f42edbbb2f0df991d8858

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