location: Current position: Home >> Scientific Research >> Paper Publications

基于遗传优化的无人车横向模糊控制

Hits:

Indexed by:期刊论文

Date of Publication:2022-06-29

Journal:机械工程学报

Issue:6

Page Number:76-82

ISSN No.:0577-6686

Abstract:Lateral motion control of vision-based unmanned vehicle DLUIV-1 is researched.Firstly, the lateral motion control model of vision-based navigation unmanned vehicle is established, which can describe the lateral motion behavior of unmanned vehicles. On this basis, the influence of look-ahead distance on lateral control system is analyzed, and the formula of look-ahead distance with the effect of velocity considered is established. Then, in view of highly nonlinear and parametric uncertain properties of non-holonomic unmanned vehicle, an efficient fuzzy control strategy based on genetic algorithm is presented, the membership functions and rules of fuzzy controller are optimized by genetic algorithm, therefore, the membership functions and rules are effectively determined. Finally, the simulation and real vehicle experiment analysis and validation of proposed control strategy are carried out. Both simulation and experimental results show that the unmanned vehicle controlled by the proposed control strategy can stably track the reference path under various conditions with high accuracy and robustness. © 2012 Journal of Mechanical Engineering.

Note:新增回溯数据

Pre One:用于月球车性能仿真的着陆区三维地形构造方法研究

Next One:基于视觉图像边缘形状特征的灌木丛或高草的识别