Design of a Novel NNs Learning Tracking Controller for Robotic Manipulator with Joints Flexibility
The precise tracking control problem for the robotic manipulator with flexible joints, subjected to system uncertainties and external disturbances, is addressed. A novel control scheme is presented that does not use link velocity measurements and high-order derivatives of the link states. The contro...
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| Format: | Article |
| Language: | English |
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Wiley
2023-01-01
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| Series: | Journal of Robotics |
| Online Access: | http://dx.doi.org/10.1155/2023/1186719 |
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| _version_ | 1832546509955006464 |
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| author | Pengxiao Jia |
| author_facet | Pengxiao Jia |
| author_sort | Pengxiao Jia |
| collection | DOAJ |
| description | The precise tracking control problem for the robotic manipulator with flexible joints, subjected to system uncertainties and external disturbances, is addressed. A novel control scheme is presented that does not use link velocity measurements and high-order derivatives of the link states. The control scheme employs neural networks-based observers to estimate both motor velocity and link velocity. By using the virtually applied torque, the link controller is designed based on rigid link dynamics, and the motor controller is designed using the dynamic surface control technique. The proposed control scheme can guarantee that all the signals in the closed-loop system are semiglobally uniformly ultimately bounded, and the tracking error eventually converges to a small neighborhood around zero. The simulation results confirm our theoretical analysis, and a comparison study demonstrates the advantages of the proposed control scheme compared to the standard DSC method. |
| format | Article |
| id | doaj-art-196c9f897c77485482436e3ddb2a9c52 |
| institution | Kabale University |
| issn | 1687-9619 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Robotics |
| spelling | doaj-art-196c9f897c77485482436e3ddb2a9c522025-02-03T06:48:30ZengWileyJournal of Robotics1687-96192023-01-01202310.1155/2023/1186719Design of a Novel NNs Learning Tracking Controller for Robotic Manipulator with Joints FlexibilityPengxiao Jia0College of ScienceThe precise tracking control problem for the robotic manipulator with flexible joints, subjected to system uncertainties and external disturbances, is addressed. A novel control scheme is presented that does not use link velocity measurements and high-order derivatives of the link states. The control scheme employs neural networks-based observers to estimate both motor velocity and link velocity. By using the virtually applied torque, the link controller is designed based on rigid link dynamics, and the motor controller is designed using the dynamic surface control technique. The proposed control scheme can guarantee that all the signals in the closed-loop system are semiglobally uniformly ultimately bounded, and the tracking error eventually converges to a small neighborhood around zero. The simulation results confirm our theoretical analysis, and a comparison study demonstrates the advantages of the proposed control scheme compared to the standard DSC method.http://dx.doi.org/10.1155/2023/1186719 |
| spellingShingle | Pengxiao Jia Design of a Novel NNs Learning Tracking Controller for Robotic Manipulator with Joints Flexibility Journal of Robotics |
| title | Design of a Novel NNs Learning Tracking Controller for Robotic Manipulator with Joints Flexibility |
| title_full | Design of a Novel NNs Learning Tracking Controller for Robotic Manipulator with Joints Flexibility |
| title_fullStr | Design of a Novel NNs Learning Tracking Controller for Robotic Manipulator with Joints Flexibility |
| title_full_unstemmed | Design of a Novel NNs Learning Tracking Controller for Robotic Manipulator with Joints Flexibility |
| title_short | Design of a Novel NNs Learning Tracking Controller for Robotic Manipulator with Joints Flexibility |
| title_sort | design of a novel nns learning tracking controller for robotic manipulator with joints flexibility |
| url | http://dx.doi.org/10.1155/2023/1186719 |
| work_keys_str_mv | AT pengxiaojia designofanovelnnslearningtrackingcontrollerforroboticmanipulatorwithjointsflexibility |