非完整机械中约束力的工程实例:叉车机器人运动。第一部分

IF 1.2 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS
Zhiyi Chen, Zan Hui Chen
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引用次数: 1

摘要

本文研究了一类非完整约束机械系统问题。将非完整力学中的新方法应用于叉车机器人运动问题。基于所谓的chetaev型约束力的纤维流形及其射流延伸的一般非完整约束系统的几何理论方法。该理论适用于一般类型的非完整约束,而不仅仅是线性或仿射约束,然后在适当的模型上得到验证。另一方面,叉车机器人的运动方程是高度非线性的,无滑移滚动条件只能用非完整约束方程来表示。本文将几何理论应用于上述力学问题。给出了在该理论范围内导出的约束运动方程数值解的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Engineering example of the constraint forces in non-holonomic mechanical: forklift-truck robot motion. Part I
In the presented paper, a problem of nonholonomic constrained mechanical systems is treated. New methods in nonholonomic mechanics are applied to a problem of a Forklift-truck robot motion. This method of the geometrical theory of general nonholonomic constrained systems on fibered manifolds and their jet prolongations, based on so-called Chetaev-type constraint forces. The relevance of this theory for general types of nonholonomic constraints, not only linear or affine ones, was then verified on appropriate models. On the other hand, the equations of motion of a Forklift-truck robot are highly nonlinear and rolling without slipping condition can only be expressed by nonholonomic constraint equations. In this paper, the geometrical theory is applied to the above mentioned mechanical problem. The results of numerical solutions of constrained equations of motion, derived within the theory, are presented.
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来源期刊
Archives of Control Sciences
Archives of Control Sciences Mathematics-Modeling and Simulation
CiteScore
2.40
自引率
33.30%
发文量
0
审稿时长
14 weeks
期刊介绍: Archives of Control Sciences welcomes for consideration papers on topics of significance in broadly understood control science and related areas, including: basic control theory, optimal control, optimization methods, control of complex systems, mathematical modeling of dynamic and control systems, expert and decision support systems and diverse methods of knowledge modelling and representing uncertainty (by stochastic, set-valued, fuzzy or rough set methods, etc.), robotics and flexible manufacturing systems. Related areas that are covered include information technology, parallel and distributed computations, neural networks and mathematical biomedicine, mathematical economics, applied game theory, financial engineering, business informatics and other similar fields.
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