Cable-driven parallel robots (CDPRs) are a new type of parallel robots that use cables to control a mobile platform. They possess several advantages, including large workspace, low inertia, and high payload capacity. However, there are several problems in the high-precision trajectory tracking control of CDPRs. On the one hand, all the cables must remain in tension during the entire motion process. On the other hand, the controller design is subjected to model uncertainties and external disturbances. Accordingly, this article proposes a robust synchronization control (RSC) scheme in the cable length space to achieve high-precision trajectory tracking. The synchronization control ensures motion coordination among all the cables and prevents cable relaxation, whereas the robust control eliminates modeling errors and restrains external disturbances. The uniformly ultimate boundedness of the tracking and synchronization errors in the closed-loop system equation was proved using the Lyapunov theory. Simulations and experiments of the trajectory tracking control were both implemented on a three-degree-of-freedom CDPR. Compared with the adaptive robust control scheme and the augmented proportional derivative scheme on the premise of the approximate energy consumption, the proposed RSC scheme could reduce not only the tracking errors of the cables but also the synchronization errors between adjacent cables. Moreover, the RSC scheme could significantly improve the trajectory tracking accuracy of the mobile platform. The robustness of this scheme was verified using load experiments and torque-disturbance experiments.
机构:
Univ Sci & Technol China, Dept Automat, Hefei 230027, Peoples R China
City Univ Hong Kong, Dept Biomed Engn, Hong Kong, Peoples R China
Chinese Acad Sci, Shenyang Inst Automat, State Key Lab Robot, Shenyang 110016, Peoples R ChinaUniv Sci & Technol China, Dept Automat, Hefei 230027, Peoples R China
Jia, Huaiyuan
Shang, Weiwei
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Univ Sci & Technol China, Dept Automat, Hefei 230027, Peoples R ChinaUniv Sci & Technol China, Dept Automat, Hefei 230027, Peoples R China
Shang, Weiwei
Xie, Fei
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Univ Sci & Technol China, Dept Automat, Hefei 230027, Peoples R ChinaUniv Sci & Technol China, Dept Automat, Hefei 230027, Peoples R China
Xie, Fei
Zhang, Bin
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Univ Sci & Technol China, Dept Automat, Hefei 230027, Peoples R ChinaUniv Sci & Technol China, Dept Automat, Hefei 230027, Peoples R China
Zhang, Bin
Cong, Shuang
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Univ Sci & Technol China, Dept Automat, Hefei 230027, Peoples R ChinaUniv Sci & Technol China, Dept Automat, Hefei 230027, Peoples R China
机构:
Univ Sci & Technol China, Dept Automat, Hefei 230027, Peoples R China
City Univ Hong Kong, Dept Biomed Engn, Hong Kong, Peoples R China
Chinese Acad Sci, Shenyang Inst Automat, State Key Lab Robot, Shenyang 110016, Peoples R ChinaUniv Sci & Technol China, Dept Automat, Hefei 230027, Peoples R China
Jia, Huaiyuan
Shang, Weiwei
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h-index: 0
机构:
Univ Sci & Technol China, Dept Automat, Hefei 230027, Peoples R ChinaUniv Sci & Technol China, Dept Automat, Hefei 230027, Peoples R China
Shang, Weiwei
Xie, Fei
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h-index: 0
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Univ Sci & Technol China, Dept Automat, Hefei 230027, Peoples R ChinaUniv Sci & Technol China, Dept Automat, Hefei 230027, Peoples R China
Xie, Fei
Zhang, Bin
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机构:
Univ Sci & Technol China, Dept Automat, Hefei 230027, Peoples R ChinaUniv Sci & Technol China, Dept Automat, Hefei 230027, Peoples R China
Zhang, Bin
Cong, Shuang
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Univ Sci & Technol China, Dept Automat, Hefei 230027, Peoples R ChinaUniv Sci & Technol China, Dept Automat, Hefei 230027, Peoples R China