Redirigiendo al acceso original de articulo en 15 segundos...
Inicio  /  Algorithms  /  Vol: 12 Par: 3 (2019)  /  Artículo
ARTÍCULO
TITULO

An Approach to the Dynamics and Control of Uncertain Robot Manipulators

Xiaohui Yang    
Xiaolong Zhang    
Shaoping Xu    
Yihui Ding    
Kun Zhu and Peter Xiaoping Liu    

Resumen

In this paper, a novel constraint-following control for uncertain robot manipulators that is inspired by analytical dynamics is developed. The motion can be regarded as external constraints of the system. However, it is not easy to obtain explicit equations for dynamic modeling of constrained systems. For a multibody system subject to motion constraints, it is a common practice to introduce Lagrange multipliers, but using these to obtain explicit dynamical equations is a very difficult task. In order to obtain such equations more simply, motion constraints are handled here using the Udwadia-Kalaba equation(UKE). Then, considering real-life robot manipulators are usually uncertain(but bounded), by using continuous controllers compensate for the uncertainties. No linearizations/approximations of the robot manipulators systems are made throughout, and the tracking errors are bounds. A redundant manipulator of the SCARA type as the example to illustrates the methodology. Numerical results are demonstrates the simplicity and ease of implementation of the methodology.

 Artículos similares

       
 
Jiangtao Chen, Jiao Zhao, Wei Xiao, Luogeng Lv, Wei Zhao and Xiaojun Wu    
Given the randomness inherent in fluid dynamics problems and limitations in human cognition, Computational Fluid Dynamics (CFD) modeling and simulation are afflicted with non-negligible uncertainties, casting doubts on the credibility of CFD. Scientifica... ver más
Revista: Aerospace

 
Suhee Jo, Ryeonggu Kwon and Gihwon Kwon    
GitHub serves as a platform for collaborative software development, where contributors engage, evolve projects, and shape the community. This study presents a novel approach to analyzing GitHub activity that departs from traditional methods. Using Discre... ver más
Revista: Applied Sciences

 
Olga Kurasova, Arnoldas Bud?ys and Viktor Medvedev    
As artificial intelligence has evolved, deep learning models have become important in extracting and interpreting complex patterns from raw multidimensional data. These models produce multidimensional embeddings that, while containing a lot of informatio... ver más
Revista: Informatics

 
Boqian Ji, Jun Huang, Xiaoqiang Lu, Yacong Wu and Jingjiang Liu    
The wing aerodynamic shape optimization is a typical high-dimensional problem with numerous independent design variables. Researching methods to reduce the dimensionality of optimization from the perspective of aerodynamic characteristics is necessary. O... ver más
Revista: Aerospace

 
Saile Zhang, Qingzhen Yang, Rui Wang and Xufei Wang    
The use of traditional optimization methods in engineering design problems, specifically in aerodynamic and infrared stealth optimization for engine nozzles, requires a large number of objective function evaluations, therefore introducing a considerable ... ver más
Revista: Aerospace