1. 基于Adams的森林防火机器人履带平台设计与动力学仿真.
- Author
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刘泽新, 王希贵, and 林文树
- Subjects
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FOREST fire prevention & control , *ROBOT motion , *ROTATIONAL motion , *DYNAMIC simulation , *RANDOM forest algorithms - Abstract
Aiming at the complex forest environment, a deformable crawler platform based on the ellipse theorem was proposed in order to meet the obstacle-climbing performance requirements of forest fire fighting robot crawler platform. The crawler platform can adjust the shape of the crawler through the rotation of the swing arm and had better obstacle-climbing performance and tensioning capacity. In order to fully understand the obstacle-climbing performance of the crawler platform, the movement mechanism of the robot crawler platform was analyzed, and then the maximum theoretical value of the obstacle crossing process was obtained by dynamic analysis of the typical obstacles of the crawler platform. According to the theoretical value combined with the actual situation of the forest area, the simulation platform was established with Adams, and the simulation experiment was carried out on the climbing height and gully crossing state. The verification showed that the crawler platform can climb the steps of 200 mm height and span the gully of 255 mm width, and had good obstacle-climbing performance. [ABSTRACT FROM AUTHOR]
- Published
- 2021