دورية أكاديمية

Variable Stiffness Identification and Configuration Optimization of Industrial Robots for Machining Tasks

التفاصيل البيبلوغرافية
العنوان: Variable Stiffness Identification and Configuration Optimization of Industrial Robots for Machining Tasks
المؤلفون: Jiachen Jiao, Wei Tian, Lin Zhang, Bo Li, Junshan Hu, Yufei Li, Dawei Li, Jianlong Zhang
المصدر: Chinese Journal of Mechanical Engineering, Vol 35, Iss 1, Pp 1-16 (2022)
بيانات النشر: SpringerOpen, 2022.
سنة النشر: 2022
المجموعة: LCC:Ocean engineering
LCC:Mechanical engineering and machinery
مصطلحات موضوعية: Industrial robot, Space gridding, Variable stiffness identification, Configuration optimization, Smooth processing, Ocean engineering, TC1501-1800, Mechanical engineering and machinery, TJ1-1570
الوصف: Abstract Industrial robots are increasingly being used in machining tasks because of their high flexibility and intelligence. However, the low structural stiffness of a robot significantly affects its positional accuracy and the machining quality of its operation equipment. Studying robot stiffness characteristics and optimization methods is an effective method of improving the stiffness performance of a robot. Accordingly, aiming at the poor accuracy of stiffness modeling caused by approximating the stiffness of each joint as a constant, a variable stiffness identification method is proposed based on space gridding. Subsequently, a task-oriented axial stiffness evaluation index is proposed to quantitatively assess the stiffness performance in the machining direction. In addition, by analyzing the redundant kinematic characteristics of the robot machining system, a configuration optimization method is further developed to maximize the index. For numerous points or trajectory-processing tasks, a configuration smoothing strategy is proposed to rapidly acquire optimized configurations. Finally, experiments on a KR500 robot were conducted to verify the feasibility and validity of the proposed stiffness identification and configuration optimization methods.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1000-9345
2192-8258
Relation: https://doaj.org/toc/1000-9345; https://doaj.org/toc/2192-8258
DOI: 10.1186/s10033-022-00778-1
URL الوصول: https://doaj.org/article/92dfd34364324513994b87a09483fd54
رقم الأكسشن: edsdoj.92dfd34364324513994b87a09483fd54
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:10009345
21928258
DOI:10.1186/s10033-022-00778-1