The internal force antagonism (IFA) problem is one of the most important issues limiting the applications and popularization of redundant parallel robots in industry. Redundant cable-driven parallel robots (RCDPRs) and redundant rigid parallel robots (RRPRs) behave very differently in this problem. To clarify the essence of IFA, this study first analyzes the causes and influencing factors of IFA. Next, an evaluation index for IFA is proposed, and its calculating algorithm is developed. Then, three graphical analysis methods based on this index are proposed. Finally, the performance of RCDPRs and RRPRs in IFA under three configurations are analyzed. Results show that RRPRs produce IFA in nearly all the areas of the workspace, whereas RCDPRs produce IFA in only some areas of the workspace, and the IFA in RCDPRs is milder than that RRPRs. Thus, RCDPRs more fault-tolerant and easier to control and thus more conducive for industrial application and popularization than RRPRs. Furthermore, the proposed analysis methods can be used for the configuration optimization design of RCDPRs.
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机构:
State Key Laboratory of Tribology,Department of Mechanical Engineering,Tsinghua University
Beijing Key Laboratory of Precision/Ultra-Precision Manufacturing Equipment and Control,TsinghuaState Key Laboratory of Tribology,Department of Mechanical Engineering,Tsinghua University
Yuheng WANG
Xiaoqiang TANG
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机构:
State Key Laboratory of Tribology,Department of Mechanical Engineering,Tsinghua University
Beijing Key Laboratory of Precision/Ultra-Precision Manufacturing Equipment and Control,TsinghuaState Key Laboratory of Tribology,Department of Mechanical Engineering,Tsinghua University
机构:K. N. Toosi University of Technology,Center of Excellence in Robotics and Control (CERC), Advanced Robotics and Automated Systems (ARAS) Lab., Faculty of Mechanical Engineering
Mohammad Reza Mousavi
Masoud Ghanbari
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机构:K. N. Toosi University of Technology,Center of Excellence in Robotics and Control (CERC), Advanced Robotics and Automated Systems (ARAS) Lab., Faculty of Mechanical Engineering
Masoud Ghanbari
S. Ali A. Moosavian
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机构:K. N. Toosi University of Technology,Center of Excellence in Robotics and Control (CERC), Advanced Robotics and Automated Systems (ARAS) Lab., Faculty of Mechanical Engineering
S. Ali A. Moosavian
Payam Zarafshan
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机构:K. N. Toosi University of Technology,Center of Excellence in Robotics and Control (CERC), Advanced Robotics and Automated Systems (ARAS) Lab., Faculty of Mechanical Engineering
机构:
School of Mechanical Engineering,Hefei University of TechnologySchool of Mechanical Engineering,Hefei University of Technology
Sen Qian
Bin Zi
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机构:
School of Mechanical Engineering,Hefei University of TechnologySchool of Mechanical Engineering,Hefei University of Technology
Bin Zi
Wei-Wei Shang
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机构:
Department of Automation,University of Science and Technology of ChinaSchool of Mechanical Engineering,Hefei University of Technology
Wei-Wei Shang
Qing-Song Xu
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h-index: 0
机构:
School of Mechanical Engineering,Hefei University of Technology
Department of Electromechanical Engineering,Faculty of Science and Technology,University of MacauSchool of Mechanical Engineering,Hefei University of Technology