Journal
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Volume 65, Issue 1, Pages 664-672Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIE.2017.2719598
Keywords
Boundary control; input constraint; iterative learning control (ILC); robotic arm system; vibration control
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Funding
- National Natural Science Foundation of China [61522302, 61761130080]
- National Basic Research Program of China (973 Program) [2014CB744206]
- Royal Society, U.K [NA160436]
- Beijing Natural Science Foundation [4172041]
- Fundamental Research Funds for the China Central Universities of USTB [FRF-BD-16-005A, FRF-TP-15-005C1]
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This paper addresses the vibration control and the trajectory tracking control of a robotic arm system with input constraint. A hyperbolic tangent function and a saturation function are adopted to tackle the input constraint. By defining a composite energy function, a dual-loop iterative learning control (ILC) law is designed by integrating a restrained learning law and a saturated feedback law. For the closed-loop system, the angle displacements are asymptotically regulated to track a prescribed constant trajectory and the elastic displacements are asymptotically suppressed to zero along the iteration axis. Simulation and experimental results are provided to illustrate the effectiveness of the designed ILC law.
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