基于自适应整体终端变量结构预测方法的液压柔性二级操纵器的姿势控制.
Jianliang Xu1, Zhen Sui2, Feng Xu1,2
1School of Mechanical and Electrical Engineering, Quzhou College of Technology, Quzhou 324000, China.
Sensors (Basel, Switzerland)
|March 17, 2025
概括
本研究介绍了用于液压柔性操纵器的离散时间积分终端滑动模式预测控制 (DITSMPC). 新的DITSMPC方法提高了姿势跟踪控制的精度,并减少了工业自动化中的扭矩变化.
科学领域:
- 机器人和控制系统 机器人和控制系统
- 机械工程 机械工程
- 自动化和智能系统
背景情况:
- 工业运营日益复杂,需要更加智能和自动化的操纵器.
- 液压柔性操纵器在精确的姿势跟踪控制方面面临着挑战.
- 现有的控制方法可能会受到系统冲击和不精确跟踪等问题的影响.
研究的目的:
- 为液压柔性操纵器提出一种新的离散时间积分终端滑动模式预测控制 (DITSMPC) 方法.
- 为了提高工业操纵器中姿势跟踪控制的精度和稳定性.
- 为了减轻滑动模式控制 (SMC) 冲击的影响,并提高系统性能.
主要方法:
- 使用拉格朗的动态策略,为操纵器开发第二阶动态模型.
- 一个离散时间滑动模式控制 (SMC) 规律的设计,用于高精度跟踪的自适应切换术语.
- 将预测时间域函数集成到SMC规律中,并估计未知的系统术语以减少冲击.
主要成果:
- 拟议的DITSMPC方案表明了趋同,并且在数学上得到了证明.
- 与传统的离散时间SMC相比,模拟结果显示操纵器关节的扭矩变化明显更平滑 (变化积分:5.22×10^3).
- 每个关节的轨迹跟踪误差都保持在±0.0025rad以内,优于经典的SMC方法.
结论:
- 在液压柔性操纵器的姿势跟踪控制中,DITSMPC方法提供了卓越的性能.
- 拟议的控制策略有效地减少了扭矩冲击,并在复杂的工业场景中提高了跟踪精度.
- 这一进步有助于在工业机器人领域实现更智能,更可靠的自动化.
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