集成终端基于滑动模式的自适应驾驶控制方法,用于跟踪机器人的追踪机器人
Zhiqiang Li1, Kun Luo1, Liang Tao1
1School of Mechanical Engineering, Tongling University, Tongling, China.
Frontiers in plant science
|November 6, 2025
概括
本研究介绍了一种适应性控制策略,用于在具有挑战性的地形上操作的跟踪机器人 (TR). 这种新方法提高了驾驶控制的精度和在复杂的户外环境中的稳定性.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统工程 控制系统工程
- 土壤力学 土壤力学
背景情况:
- 追踪机器人 (TR) 为现场应用提供了稳定性和适应性.
- 在柔软或不平坦的地面上机器人与地形的相互作用会引起干扰,挑战精确的驾驶控制.
研究的目的:
- 开发一种自适应性控制策略,以提高在复杂地形中跟踪机器人的驾驶精度和稳定性.
- 为应对户外应用中机器人-地形交互动态带来的挑战.
主要方法:
- 建立了使用Bekker压力沉降和Janosi剪切理论来理解机器人-地形相互作用的干扰模型.
- 引入了自适应式整体终端滑动模式 (AITSM) 控制方法,以提高系统性能.
主要成果:
- 拟议的AITSM控制方法在现实场景中表现出卓越的性能和稳定性.
- 实验验证证了跟踪机器人的自适应控制策略的有效性.
结论:
- 该研究提供了一种有效的解决方案,用于改善户外环境中跟踪机器人的驾驶控制.
- 拟议的框架可以应用于各种智能现场机器,包括农业和勘探机器人.
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