Adaptive robust control for Pendubot with matched–mismatched uncertainty via constraint-following

The study presents an adaptive robust control method for the Pendubot subjects to matched and mismatched uncertainty. First, the control task is formatted as a reduced-dimension equality constraint of the system states. To handle the matched and mismatched uncertainties, an orthogonal decomposition...

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Published inRobotica Vol. 41; no. 5; pp. 1550 - 1567
Main Authors Wei, Cui, Chen, Ye-Hwa, Chai, Tianyou, Fu, Jun
Format Journal Article
LanguageEnglish
Published Cambridge, UK Cambridge University Press 01.05.2023
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Abstract The study presents an adaptive robust control method for the Pendubot subjects to matched and mismatched uncertainty. First, the control task is formatted as a reduced-dimension equality constraint of the system states. To handle the matched and mismatched uncertainties, an orthogonal decomposition method is employed to make the mismatched part disappear after decomposition. Based on the above, an adaptive robust control law based on constraint-following is devised. By the Lyapunov approach, it is rigorously proven that the proposed approach ensures the uniform boundedness and uniform ultimate boundedness of the closed-loop control system and thus renders approximate constraint-following, regardless of uncertainty. Simulation and experimental results are provided and discussed, demonstrating the good performance of the proposed approach.
AbstractList The study presents an adaptive robust control method for the Pendubot subjects to matched and mismatched uncertainty. First, the control task is formatted as a reduced-dimension equality constraint of the system states. To handle the matched and mismatched uncertainties, an orthogonal decomposition method is employed to make the mismatched part disappear after decomposition. Based on the above, an adaptive robust control law based on constraint-following is devised. By the Lyapunov approach, it is rigorously proven that the proposed approach ensures the uniform boundedness and uniform ultimate boundedness of the closed-loop control system and thus renders approximate constraint-following, regardless of uncertainty. Simulation and experimental results are provided and discussed, demonstrating the good performance of the proposed approach.
Author Chen, Ye-Hwa
Chai, Tianyou
Wei, Cui
Fu, Jun
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  surname: Fu
  fullname: Fu, Jun
  organization: 3State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China
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crossref_primary_10_2298_SJEE2303361T
crossref_primary_10_3390_machines12120829
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Keywords matched–mismatched uncertainty
adaptive robust control
Pendubot
underactuated
constraint-following
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Snippet The study presents an adaptive robust control method for the Pendubot subjects to matched and mismatched uncertainty. First, the control task is formatted as a...
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SubjectTerms Adaptive control
Closed loops
Constraints
Control methods
Control tasks
Control theory
Decomposition
Emerging Topics of Advanced Robotics and Mechatronics
Energy consumption
Feedback control
Friction
Neural networks
Robust control
Uncertainty
Title Adaptive robust control for Pendubot with matched–mismatched uncertainty via constraint-following
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