OTHER
A Framework for Multidisciplinary Optimization of a Balancing Mechanism for an Industrial Robot
Johan Persson, Xiaolong Feng, Daniel Wäppling, Johan Ölvander
- 发表年份
- 2015
- 引用次数
- 9
- 访问权限
- 开放获取
摘要
The paper presents a framework that can be used to design and optimize a balancing mechanism for an industrial robot. The framework has the capability to optimize three different concepts: a mechanical, a pneumatic, and a hydropneumatic. Several disciplines are included in the framework, such as dynamic and static analyses of the robot performance. Optimization is performed for each concept and the obtained optimal designs are all better than the reference design. This means that the framework can be used as a tool both to optimize the balancing mechanism and also to support concept selection.
关键词
Computer scienceMechanism (biology)RobotMultidisciplinary design optimizationSelection (genetic algorithm)Mechanism designMultidisciplinary approachArtificial intelligence
相关论文
OTHER
📊 26,957 引用
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 引用
Artificial intelligence: a modern approach
1995
OTHER
开放获取📊 20,501 引用
Fractional Differential Equations
Igor Podlubný
2025
OTHER
📊 18,993 引用
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991