一个带有关节约束的机器人手臂的轨迹跟踪控制器,一个直接的自适应增益与状态限制的方法
Alejandra Hernandez-Sanchez1, Isaac Chairez2, Ivan Matehuala-Moran1
1Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Calle del Puente No 222 Col Ejidos de Huipulco, Tlalpan, Mexico City, Mexico.
ISA transactions
|July 28, 2023
概括
这项研究介绍了机器人操纵器的自适应控制器,该控制器可以考虑运动限制. 新设计改善了轨迹跟踪,并减少了机器人手臂的控制能量使用.
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
- 应用数学 应用数学 应用数学
背景情况:
- 机器人运动控制面临挑战,因为关节限制影响了轨迹跟踪.
- 现有的控制方法可能是保守的,因为它们不能完全将国家限制纳入控制设计中.
研究的目的:
- 为多链路机器人操纵器设计一个自适应状态反控制器,该控制器明确包含位置和速度限制.
- 通过将国家限制直接纳入控制获取动态,开发一种不那么保守的控制方法.
主要方法:
- 利用对数障碍莱普诺夫函数类来设计操纵器的自适应增益.
- 根据Riccati方程来推导控制器实现的足够条件,其收益取决于接近限制集的距离.
主要成果:
- 数字模拟表明,相比于忽视限制的控制器和比例-积分-导数控制器,拟议的自适应增益控制器的性能优越.
- 在机器人手臂上实施的控制器证实了改进的参考轨迹跟踪和减少控制能耗.
结论:
- 拟议的自适应增益控制策略有效地管理机器人操纵器中的运动限制.
- 在机器人运动控制应用中,控制器在轨迹跟踪精度和能源效率方面提供了显著的优势.
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