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在多通讯系统下,分布式协作控制对六个DOF并行机制进行追踪
Zhifan Jiang1, Zhihua Chen1, Kang Xu2
1Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition and MOE Key Lab of Nondestructive Testing Technology, Nanchang Hangkong University, Nanchang, 330063, China.
ISA transactions
|March 14, 2025
概括
这项研究使用协作控制策略增强了六度自由度并行机制的姿势跟踪. 这种新的方法显著减少了不确定性和干扰引起的错误,提高了准确性.
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
背景情况:
- 在六度自由度 (DOF) 平行机制中的姿势跟踪面临来自内部不确定性,外部干扰和执行器干扰的挑战.
- 现有的控制方法在这些复杂的条件下难以保持高精度.
研究的目的:
- 为六个DOF并行机制开发和验证一个协作姿势跟踪控制策略.
- 解决和减轻内部不确定性,外部干扰和互动执行器干扰对跟踪性能的影响.
主要方法:
- 集成第三级主动干扰排斥控制 (ADRC) 用于个人执行器控制.
- 应用多代理共识控制用于协调执行器行为.
- 拟议的控制方法的理论稳定性证明.
- 通过对六个DOF并行机制进行全面的模拟和实验来实现和验证.
主要成果:
- 协作控制策略显著提高了姿势跟踪准确度.
- 与单驱动ADRC控制器相比,位置和态度错误减少了大约90%.
- 拟议的控制方法的有效性和稳定性经过实验验证.
结论:
- 拟议的协作姿势跟踪控制策略有效地提高了六个DOF并行机制的性能.
- 这种方法为克服复杂机器人系统中不确定性和干扰带来的挑战提供了强大的解决方案.
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