Optimization and Control Strategies for Mechanical Vehicle Trajectory Research
DOI:
https://doi.org/10.62051/77ybr652Keywords:
Mechanical Vehicles; Motion Trajectory; Trajectory Optimization; Control Strategies; Model Predictive Control.Abstract
With the rapid advancement of contemporary transportation and automation technology, the optimization of mechanical vehicle trajectories and control strategies have gradually become a focal area of research. Precise trajectory optimization not only enhances the driving efficiency of vehicles but also significantly reduces energy consumption and safety hazards. This paper reviews the basic theory of mechanical vehicle motion trajectories, focusing on the methods of trajectory optimization and control strategies. It covers model-based trajectory optimization, data-driven optimization methods, and various control strategies. Through an analysis of existing research, it points out the challenges and prospects of applying trajectory optimization and control strategies in complex environments.
Downloads
References
[1] Liu Songguo. Research on Motion Optimization and Trajectory Tracking Control of Six-Degree-of-Freedom Serial Robots [D]. Zhejiang University, 2009.
[2] Zhang Yinfeng. Research on Motion Trajectory Tracking and Control Strategy of Drum Shearers [D]. Zhejiang University, 2014.
[3] Liu Junling, Feng Ganghui, Zhang Junjiang, et al. Research on Energy-saving Control Integration of Trajectory.
Downloads
Published
Conference Proceedings Volume
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
