没有模型的自适应任务空间滑动模式控制Delta机器人的机器人使用一个新的达法
Alireza Fateh1, Hamidreza Momeni1
1Tarbiat Modares University, Jalal Ale Ahmad, Nasr, 14115111, Tehran, Iran.
ISA transactions
|April 5, 2024
概括
这项研究引入了对Delta机器人的新型自适应滑动模式控制,增强了稳定性和过载保护. 没有模型的方法可以确保在没有先前的系统知识的情况下,对不确定性的强大性能.
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:
- 达尔塔机器人广泛用于高速自动化,但容易受到不确定性和过载的影响.
- 现有的控制方法往往需要精确的模型,或者可能导致控制信号的聊天.
- 适应性控制策略在动态机器人系统中提供了强大的性能潜力.
研究的目的:
- 为Delta机器人开发一种无模型的自适应滑动模式控制 (SMC).
- 引入一项新的触及法,减少增益保守主义,增强过载保护.
- 为了实现对系统不确定性的强有力的控制,而无需事先了解边界函数.
主要方法:
- 提出了一个无模型的自适应滑动模式控制 (SMC) 策略.
- 一个新的达法是为了使用Lyapunov定理设计的对象稳定性.
- 带有新适应规则的梯度下降算法估计了Delta机器人的反向雅可比矩阵.
- 分析模型用于控制规律的推导,稳定性分析和模拟.
主要成果:
- 拟议的控制系统有效地处理不确定性,而不需要边界函数知识.
- 达到时间的自适应性调整导致了顺的融合和声减弱.
- 使用新型适应规则的梯度下降算法成功估计了反向雅可比矩阵.
- 模拟结果证实,与现有方法相比,拟议的达到法具有更高的性能.
结论:
- 开发的无模型自适应式SMC为Delta机器人提供了强大而稳定的控制.
- 新的法律有效地减轻了喋喋不休,并防止过载.
- 这种方法在传统的基于模型和自适应的控制技术上表现出显著的优势.
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