Multi-parameter and multi-objective collaborative optimization of a suspended monorail vehicle addressing its strongly coupled nonlinear characteristics.

ABSTRACT: This paper focuses on parameter optimization for the actually manufactured test vehicle. This method achieves high-precision, rapid computation of vehicle dynamic performance while fully preserving the strongly coupled nonlinear dynamic properties of the system. Firstly, by employing twin modeling technology, the model accurately reflects the physical dynamic characteristics of the actual vehicle, enabling us to determine how much improvement the optimized vehicle dynamic response will exhibit compared to the current state. Next, a mathematical model for multi-parameter, multi-objective collaborative optimization is constructed using big data search, and key parameters significantly influencing vehicle dynamics are identified through Sobol sensitivity analysis for dynamic optimization. Fin

SUBMITTER: Jiang Y 

PROVIDER: S-EPMC12603253 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature