{"title":"3 - RPS和三角形6 - UPS连杆机构的雅可比矩阵","authors":"Joseph Massin, Lionel Birglen","doi":"10.1016/j.mechmachtheory.2025.106181","DOIUrl":null,"url":null,"abstract":"<div><div>The Jacobian matrix of a linkage relates actuated velocities to its end-effector velocity. Deriving this matrix for serial mechanisms is straightforward, but usually more challenging for parallel linkages. The velocity equation of these linkages typically comprises two distinct Jacobian matrices. An additional step required to establish the velocity of the end-effector of the linkage as a function of velocities of its actuators consists in inverting the first matrix and multiplying the result with the second, yielding a unique matrix which is here referred to as the Jacobian matrix. The previous inversion is almost universally conducted numerically except for the simplest of linkages. Here, we demonstrate that, even for non-trivial linkages such as the <span><math><mrow><mn>3</mn><mo>−</mo><mi>R</mi><mi>P</mi><mi>S</mi></mrow></math></span> and triangular <span><math><mrow><mn>6</mn><mo>−</mo><mi>U</mi><mi>P</mi><mi>S</mi></mrow></math></span> this inversion can also be done analytically. Similar to serial linkages, the Jacobian matrix is presented as a series of twists, each reflecting the impact of an actuator on the end-effector’s motion. Their geometric interpretation is provided and studied. Finally, how the method applies to other topologies of mechanisms is also discussed.</div></div>","PeriodicalId":49845,"journal":{"name":"Mechanism and Machine Theory","volume":"215 ","pages":"Article 106181"},"PeriodicalIF":4.5000,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On the Jacobian matrix of 3−RPS and triangular 6−UPS linkages\",\"authors\":\"Joseph Massin, Lionel Birglen\",\"doi\":\"10.1016/j.mechmachtheory.2025.106181\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The Jacobian matrix of a linkage relates actuated velocities to its end-effector velocity. Deriving this matrix for serial mechanisms is straightforward, but usually more challenging for parallel linkages. The velocity equation of these linkages typically comprises two distinct Jacobian matrices. An additional step required to establish the velocity of the end-effector of the linkage as a function of velocities of its actuators consists in inverting the first matrix and multiplying the result with the second, yielding a unique matrix which is here referred to as the Jacobian matrix. The previous inversion is almost universally conducted numerically except for the simplest of linkages. Here, we demonstrate that, even for non-trivial linkages such as the <span><math><mrow><mn>3</mn><mo>−</mo><mi>R</mi><mi>P</mi><mi>S</mi></mrow></math></span> and triangular <span><math><mrow><mn>6</mn><mo>−</mo><mi>U</mi><mi>P</mi><mi>S</mi></mrow></math></span> this inversion can also be done analytically. Similar to serial linkages, the Jacobian matrix is presented as a series of twists, each reflecting the impact of an actuator on the end-effector’s motion. Their geometric interpretation is provided and studied. Finally, how the method applies to other topologies of mechanisms is also discussed.</div></div>\",\"PeriodicalId\":49845,\"journal\":{\"name\":\"Mechanism and Machine Theory\",\"volume\":\"215 \",\"pages\":\"Article 106181\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2025-08-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mechanism and Machine Theory\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0094114X25002708\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MECHANICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mechanism and Machine Theory","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0094114X25002708","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
On the Jacobian matrix of 3−RPS and triangular 6−UPS linkages
The Jacobian matrix of a linkage relates actuated velocities to its end-effector velocity. Deriving this matrix for serial mechanisms is straightforward, but usually more challenging for parallel linkages. The velocity equation of these linkages typically comprises two distinct Jacobian matrices. An additional step required to establish the velocity of the end-effector of the linkage as a function of velocities of its actuators consists in inverting the first matrix and multiplying the result with the second, yielding a unique matrix which is here referred to as the Jacobian matrix. The previous inversion is almost universally conducted numerically except for the simplest of linkages. Here, we demonstrate that, even for non-trivial linkages such as the and triangular this inversion can also be done analytically. Similar to serial linkages, the Jacobian matrix is presented as a series of twists, each reflecting the impact of an actuator on the end-effector’s motion. Their geometric interpretation is provided and studied. Finally, how the method applies to other topologies of mechanisms is also discussed.
期刊介绍:
Mechanism and Machine Theory provides a medium of communication between engineers and scientists engaged in research and development within the fields of knowledge embraced by IFToMM, the International Federation for the Promotion of Mechanism and Machine Science, therefore affiliated with IFToMM as its official research journal.
The main topics are:
Design Theory and Methodology;
Haptics and Human-Machine-Interfaces;
Robotics, Mechatronics and Micro-Machines;
Mechanisms, Mechanical Transmissions and Machines;
Kinematics, Dynamics, and Control of Mechanical Systems;
Applications to Bioengineering and Molecular Chemistry