Applying model-based system architecture process method for a human-robot digital twin system
Xi Zhang, Haifeng Wang, Youmin Hu, Xin Zhang, Fang Zhao, Chenhui Wan
- 发表年份
- 2021
- 引用次数
- 9
摘要
With the development of a new generation of information technology, digital twin generation has become a research trend. However, as a complex system oriented to the product life cycle, there are some challenges for its achievement. As a widely accepted and applied methodology, most industrial fields agreed with that model-based system engineering (MBSE) can improve design quality, development efficiency and avoid risks in the design phase. However, there is few work to discuss the connection between them. Therefore, we explore to apply the model-base system architecture process to implement digital twin system, and adjust some detailed design process for adapting to the characteristics of DT. Finally, taking a human-robot system as an example to illustrate the process of building digital twin system architecture with SysML, moreover, architectural trade-off analysis method (ATAM) demonstrate the applicability of the MBSE-based method in digital twin system designing. This paper presents digital twin system development process based on MBSE based method, and provide a reference for other researchers.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002