{"title":"Design and control optimization for hybrid-controlled overconstrained cable-driven parallel robots","authors":"Filippo Zoffoli, Edoardo Ida’, Marco Carricato","doi":"10.1016/j.mechmachtheory.2025.105998","DOIUrl":null,"url":null,"abstract":"<div><div>In Cable-Driven Parallel Robots (<em>CDPRs</em>), multiple cables forming closed kinematic chains move the end-effector (<em>EE</em>). When the number of cables exceeds the degrees of freedom of the <em>EE</em>, the robot is overconstrained (<em>OCDPR</em>). This architecture helps keep cables taut but introduces actuation control challenges due to constraint redundancy. Hybrid Position–Force Control addresses this by using length-controlled cables to regulate the <em>EE</em> pose and force-controlled cables to manage force distribution. A hybrid control turns out to be a fast and intuitive solution in which, however, the choice of force-controlled cables influences the Wrench-Feasible Workspace. This article introduces the Wrench-Feasible Error-Insensitive Workspace (<em>WFEIW</em>), defined as the set of wrench-feasible poses that can be reached even in the presence of length- and tension-control errors. In particular, the paper shows how this workspace, which is inherently control-dependent, can be optimized. The <em>WFEIW</em> is analyzed for different 8-cable <em>OCDPRs</em>, demonstrating the method’s efficacy and generality. Ultimately, the volume of the <em>WFEIW</em> is used as a cost function to optimize a robot geometry, thus showing how the presented method provides a practical synthesis tool for design.</div></div>","PeriodicalId":49845,"journal":{"name":"Mechanism and Machine Theory","volume":"209 ","pages":"Article 105998"},"PeriodicalIF":4.5000,"publicationDate":"2025-03-26","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/S0094114X25000874","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}
引用次数: 0
Abstract
In Cable-Driven Parallel Robots (CDPRs), multiple cables forming closed kinematic chains move the end-effector (EE). When the number of cables exceeds the degrees of freedom of the EE, the robot is overconstrained (OCDPR). This architecture helps keep cables taut but introduces actuation control challenges due to constraint redundancy. Hybrid Position–Force Control addresses this by using length-controlled cables to regulate the EE pose and force-controlled cables to manage force distribution. A hybrid control turns out to be a fast and intuitive solution in which, however, the choice of force-controlled cables influences the Wrench-Feasible Workspace. This article introduces the Wrench-Feasible Error-Insensitive Workspace (WFEIW), defined as the set of wrench-feasible poses that can be reached even in the presence of length- and tension-control errors. In particular, the paper shows how this workspace, which is inherently control-dependent, can be optimized. The WFEIW is analyzed for different 8-cable OCDPRs, demonstrating the method’s efficacy and generality. Ultimately, the volume of the WFEIW is used as a cost function to optimize a robot geometry, thus showing how the presented method provides a practical synthesis tool for design.
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