在3D起重机系统的动态建模中进行全面的识别和参数不确定性评估
Ibrahim Shaikh1, Radek Matušů2, Abebe Alemu Wendimu2
1Department of Automation and Control Engineering, Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, 760 01, Czech Republic. shaikh@utb.cz.
Scientific reports
|February 26, 2026
概括
这项研究模拟了一个3D起重机系统,使用实验数据量化参数不确定性. 结果显示,有效载荷高度影响动态和合效应,这对于在动态环境中强大的控制设计至关重要.
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
- 系统动力学系统动力学
背景情况:
- 由于固有的不确定性,3D起重机系统的动态建模是复杂的.
- 现有的文献经常简化起重机模型或假设固定的参数.
- 准确的建模对于开发有效的控制策略至关重要.
研究的目的:
- 执行3D起重机系统的动态建模和参数不确定性分析.
- 通过实验识别和量化关键系统参数.
- 用现实世界的数据验证数学模型.
主要方法:
- 利用现实世界的实验数据来识别系统.
- 量化参数,如系统增益,时间常数和缓冲比率.
- 开发并将验证的线性模型与非线性和名义模型进行比较.
主要成果:
- 实用载荷高度显著影响位置和角度动态,显示合效应.
- 一个不对称的执行器死区被实验性地确定和分析.
- 一个经过验证的数学模型准确地反映了起重机在不同条件下的动态行为.
结论:
- 这项研究为验证的3D起重机模型中的参数不确定性提供了第一个实验量化.
- 这些发现支持为复杂,可变的起重机系统设计可靠的控制策略.
- 对于在动态和不确定的环境中需要精确的负载处理的行业而言,存在实用意义.
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