开发和实验半物理模拟平台的空间操纵器的开发和实验
Jilong Xu1,2, Yasheng Guo1,2, Fucai Liu1,2
1Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment, Yanshan University, Qinhuangdao 066004, China.
Sensors (Basel, Switzerland)
|July 13, 2024
概括
这项研究介绍了用于太空机器人手臂的新型半物理模拟平台,提高了微重力模拟效率. 新的分数顺序控制算法显著提高了机器人手臂在不同重力的响应速度和干扰排斥.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 航空航天工程 航空航天工程
- 控制系统 控制系统
背景情况:
- 现有的微重力模拟方法用于太空机器人手臂是昂贵和耗时的.
- 挑战包括复杂的联合建模,非线性和负载系统的外部干扰.
研究的目的:
- 为太空机器人手臂开发一个高效和成本效益的半物理模拟平台.
- 改进在各种重力环境中运行的机器人手臂的控制算法.
- 分析影响空间机器人手臂联合动力驱动力的因素.
主要方法:
- 一种混合模拟方法,将复杂接头的物理组件与更简单的部件的基于模型的模拟相结合.
- 实现一个分数顺序的线性主动干扰排斥控制 (FO-LADRC) 算法.
- 使用改进的粒子群优化 (IPSO) 算法优化控制器参数.
主要成果:
- 半物理平台有效模拟不同的重力环境和负载条件.
- 与线性滑动模式控制 (SMC) 相比,FO-LADRC显示出更高的响应速度和干扰排斥.
- 负载扭矩被确定为影响联合电机驱动力的主要因素,其次是辐射力.
结论:
- 开发的半物理模拟平台为太空机器人手臂研究的传统方法提供了可行的替代方案.
- 分数顺序控制显著提高了机器人手臂系统在动态环境中的性能.
- 了解负载扭矩和辐射力对于设计有效的空间机器人手臂关节驱动器至关重要.
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