Open AccessOptimal Design and Analysis of Intelligent Vehicle Suspension System Based on ADAMS and Artificial Intelligence Algorithms
Author(s) -
Jianjun Liu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2074/1/012023
Subject(s) - suspension (topology) , basis (linear algebra) , stability (learning theory) , computer science , control engineering , engineering , algorithm , machine learning , mathematics , geometry , homotopy , pure mathematics
A complete suspension model is established, and the suspension system is simulated and optimized. The method of suspension system establishment and simulation is explained in detail, and the influence of suspension parameter changes on vehicle handling and stability is analyzed in detail. The dynamic simulation analysis of wheel parallel runout test was carried out on the system, and the suspension system was optimized by artificial intelligence algorithm. The research results provide a technical basis for the design of automobile suspension.