{"title":"考虑冗余运动学的机器人加工刀具路径平滑分析算法","authors":"Jixiang Yang, Qi Qi, Abulikemu Adili, Han Ding","doi":"10.1016/j.rcim.2024.102768","DOIUrl":null,"url":null,"abstract":"<div><p>In the machining of complex parts with free-formed surfaces, robots are widely employed due to their advantages of a large operating space and high flexibility. The industrial robot with 6 degrees-of-freedom (DOF) has an extra redundant degree of freedom around the tool axis, which does not affect the tool pose related to the workpieces but influences the robot's joint configuration. The motion performance and machining efficiency can be improved by optimizing the redundant angle. Based on this, an analytical path smoothing algorithm for 6-DOF robots with the consideration of redundant kinematics is proposed to improve the robot's dynamic performance. The tool tip position and orientation are fit with the analytical 5th degree Pythagorean-Hodograph (PH) spline to satisfy <em>C</em><sup>2</sup> continuity, respectively. Therefore, the 5th degree polynomial spline with minimum acceleration is adopted to fit the redundant rotation angle and the tool tip position arc length. Then the tool path position spline, tool orientation spline, and redundant rotary angle spline are all synchronized to the tool position displacement, which makes it convenient to do interpolation along the tool path. The minimum time feed planning method considering the joint dynamic constraints is adopted to interpolate motion commands. Experimental results show that the motion efficiency of the robot in the same test path increases by 33.97 % compared with the regular spline without considering acceleration of the redundant angle spline. Meanwhile, the proposed tool path smoothing method effectively mitigates the joint vibration with a maximum reduction of 65.05 %, without sacrificing motion accuracy.</p></div>","PeriodicalId":21452,"journal":{"name":"Robotics and Computer-integrated Manufacturing","volume":null,"pages":null},"PeriodicalIF":9.1000,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An analytical tool path smoothing algorithm for robotic machining with the consideration of redundant kinematics\",\"authors\":\"Jixiang Yang, Qi Qi, Abulikemu Adili, Han Ding\",\"doi\":\"10.1016/j.rcim.2024.102768\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In the machining of complex parts with free-formed surfaces, robots are widely employed due to their advantages of a large operating space and high flexibility. The industrial robot with 6 degrees-of-freedom (DOF) has an extra redundant degree of freedom around the tool axis, which does not affect the tool pose related to the workpieces but influences the robot's joint configuration. The motion performance and machining efficiency can be improved by optimizing the redundant angle. Based on this, an analytical path smoothing algorithm for 6-DOF robots with the consideration of redundant kinematics is proposed to improve the robot's dynamic performance. The tool tip position and orientation are fit with the analytical 5th degree Pythagorean-Hodograph (PH) spline to satisfy <em>C</em><sup>2</sup> continuity, respectively. Therefore, the 5th degree polynomial spline with minimum acceleration is adopted to fit the redundant rotation angle and the tool tip position arc length. Then the tool path position spline, tool orientation spline, and redundant rotary angle spline are all synchronized to the tool position displacement, which makes it convenient to do interpolation along the tool path. The minimum time feed planning method considering the joint dynamic constraints is adopted to interpolate motion commands. Experimental results show that the motion efficiency of the robot in the same test path increases by 33.97 % compared with the regular spline without considering acceleration of the redundant angle spline. Meanwhile, the proposed tool path smoothing method effectively mitigates the joint vibration with a maximum reduction of 65.05 %, without sacrificing motion accuracy.</p></div>\",\"PeriodicalId\":21452,\"journal\":{\"name\":\"Robotics and Computer-integrated Manufacturing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":9.1000,\"publicationDate\":\"2024-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Robotics and Computer-integrated Manufacturing\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0736584524000541\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Robotics and Computer-integrated Manufacturing","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0736584524000541","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
An analytical tool path smoothing algorithm for robotic machining with the consideration of redundant kinematics
In the machining of complex parts with free-formed surfaces, robots are widely employed due to their advantages of a large operating space and high flexibility. The industrial robot with 6 degrees-of-freedom (DOF) has an extra redundant degree of freedom around the tool axis, which does not affect the tool pose related to the workpieces but influences the robot's joint configuration. The motion performance and machining efficiency can be improved by optimizing the redundant angle. Based on this, an analytical path smoothing algorithm for 6-DOF robots with the consideration of redundant kinematics is proposed to improve the robot's dynamic performance. The tool tip position and orientation are fit with the analytical 5th degree Pythagorean-Hodograph (PH) spline to satisfy C2 continuity, respectively. Therefore, the 5th degree polynomial spline with minimum acceleration is adopted to fit the redundant rotation angle and the tool tip position arc length. Then the tool path position spline, tool orientation spline, and redundant rotary angle spline are all synchronized to the tool position displacement, which makes it convenient to do interpolation along the tool path. The minimum time feed planning method considering the joint dynamic constraints is adopted to interpolate motion commands. Experimental results show that the motion efficiency of the robot in the same test path increases by 33.97 % compared with the regular spline without considering acceleration of the redundant angle spline. Meanwhile, the proposed tool path smoothing method effectively mitigates the joint vibration with a maximum reduction of 65.05 %, without sacrificing motion accuracy.
期刊介绍:
The journal, Robotics and Computer-Integrated Manufacturing, focuses on sharing research applications that contribute to the development of new or enhanced robotics, manufacturing technologies, and innovative manufacturing strategies that are relevant to industry. Papers that combine theory and experimental validation are preferred, while review papers on current robotics and manufacturing issues are also considered. However, papers on traditional machining processes, modeling and simulation, supply chain management, and resource optimization are generally not within the scope of the journal, as there are more appropriate journals for these topics. Similarly, papers that are overly theoretical or mathematical will be directed to other suitable journals. The journal welcomes original papers in areas such as industrial robotics, human-robot collaboration in manufacturing, cloud-based manufacturing, cyber-physical production systems, big data analytics in manufacturing, smart mechatronics, machine learning, adaptive and sustainable manufacturing, and other fields involving unique manufacturing technologies.