通过斯图尔特平行机制对接机器人的自适应阻抗控制
Zhihua Chen1, Gan Zhan2, Zhifan Jiang1
1Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition, Nanchang Hangkong University, Nanchang, 330063, China.
ISA transactions
|October 5, 2024
概括
这项研究引入了自主对接机器人的自适应性阻抗控制,减少过度碰撞力. 这种先进的控制策略提高了无人驾驶车辆对接操作的安全性和效率.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统 控制系统
- 机械工程 机械工程
背景情况:
- 无人驾驶地面车辆的自动对接面临着由于环境干扰而造成的过度碰撞力所带来的挑战.
- 现有的控制策略可能无法充分解决对接时的动态接触力变化.
研究的目的:
- 为对接机器人开发和验证适应性阻抗控制策略,以减轻过度碰撞接触力.
- 设计基于斯图尔特平台的锁定机制,以提高对接稳定性和安全性.
主要方法:
- 为对接机器人构建一个反向动力学模型.
- 适应性阻抗控制算法的设计,包括接触力稳定状态误差模型和适应性补偿控制器.
- 系统稳定性分析以确保可靠的性能.
- 对拟议的控制策略进行模拟和实验验证.
主要成果:
- 与传统的阻抗控制相比,自适应式阻抗控制显著降低了对接碰撞接触力.
- 积极的合规控制成功实现,证明了系统适应外部干扰的能力.
- 实验结果验证了拟议的控制策略和锁定机制的有效性.
结论:
- 适应性阻抗控制策略提供了一个强大的解决方案,以最大限度地减少自主对接中的碰撞力.
- 开发的基于斯图尔特平台的锁定机制提高了对接的可靠性.
- 这项研究为自动对接提供了一种新的方法,并有助于智能汽车的进步.
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