具有输入非线性和干扰的不确定连续机器人的自适应近似滑动模式控制
1Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai, China.
Applied bionics and biomechanics
|December 3, 2024
概括
本研究为连续机器人引入了自适应非单元快速终端滑动模式控制 (ANFTSMC),提高了轨迹精度,尽管存在不确定性和干扰. 新的ANFTSMC方案增强了稳定性,并消除了在更快的终端滑动模式控制设计中发现的奇点问题.
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
- 机械电子学是什么意思 机械电子学
背景情况:
- 连续机器人面临的挑战是不确定的动态,外部干扰和输入非线性,如执行器死区或故障.
- 传统的控制方法可能会在复杂的机器人系统中遇到奇点问题或缺乏适应性.
研究的目的:
- 为提高连续机器人的性能,开发一个自适应的非单元快速终端滑动模式控制 (ANFTSMC) 方案.
- 解决连续机器人控制中的不确定性,外部干扰和输入非线性.
主要方法:
- 使用函数近似技术 (FAT) 在线估计未知的机器人动态和执行器非线性.
- 设计了一个干扰观察员 (DO) 来补偿未知的外部干扰.
- 将FAT和DO集成到ANFTSMC计划中,以进行可靠的控制.
主要成果:
- 拟议的ANFTSMC方案有效地提高了连续机器人的轨迹跟踪精度.
- 实现了0.0115和0.0128半径的低追踪平方根平均误差.
- 证明对不确定性和干扰的稳定性,同时消除奇点问题.
结论:
- 该ANFTSMC方案为连续机器人的跟踪精度和稳定性提供了显著的改进.
- 实验验证证了拟议的适应性控制策略的有效性.
- 开发的控制器为复杂的机器人应用提供了强大且无奇点的解决方案.
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