LAPSE:2024.1177
Published Article
LAPSE:2024.1177
Fixed-Time Control of a Robotic Arm Based on Disturbance Observer Compensation
Gang Zhang, Jing Pan, Tianli Li, Zheng Wang, Duansong Wang
June 21, 2024
Backstepping-based fixed-time tracking control is proposed for a robotic arm system to solve the problem of trajectory tracking control under system uncertainties, which ensures the robotic arm system can realize stable tracking control within a fixed time independent of the initial state of the system. In addition, to address the uncertainties in the robotic arm system, a control strategy based on disturbance observer compensation is designed, which provides feed-forward compensation through the accurate estimation of the system uncertainties and enhances the system’s robustness. Finally, a two-link robotic arm model is used for simulation experiments, and the comparison results show that the control scheme designed in this article can effectively improve the robotic arm’s tracking accuracy and convergence speed.
Keywords
backstepping, disturbance observer, fixed time, robotic arm system, trajectory tracking
Suggested Citation
Zhang G, Pan J, Li T, Wang Z, Wang D. Fixed-Time Control of a Robotic Arm Based on Disturbance Observer Compensation. (2024). LAPSE:2024.1177
Author Affiliations
Zhang G: School of Electrical Engineering, Anhui Polytechnic University, Wuhu 241000, China; Anhui Undergrowth Crop Intelligent Equipment Engineering Research Center, Lu’an 237012, China
Pan J: School of Electrical Engineering, Anhui Polytechnic University, Wuhu 241000, China
Li T: School of Electrical Engineering, Anhui Polytechnic University, Wuhu 241000, China
Wang Z: School of Electrical and Photoelectronic Engineering, West Anhui University, Lu’an 237012, China
Wang D: Anhui Undergrowth Crop Intelligent Equipment Engineering Research Center, Lu’an 237012, China; School of Electrical and Photoelectronic Engineering, West Anhui University, Lu’an 237012, China
Journal Name
Processes
Volume
12
Issue
1
First Page
93
Year
2023
Publication Date
2023-12-30
Published Version
ISSN
2227-9717
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PII: pr12010093, Publication Type: Journal Article
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LAPSE:2024.1177
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doi:10.3390/pr12010093
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Jun 21, 2024
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