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Fault identification for robot manipulators
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AI
DOI：10.1109/TRO.2005.851356.png)
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摘要
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Several factors must be considered for robotic task execution in the presence of a fault, including: detection, identification, and accommodation for the fault. In this paper, a nonlinear observer is used to identify a class of actuator faults once the fault has been detected by some other method. Advantages of the proposed fault-identification method are that it is based on the nonlinear dynamic model of a robot manipulator (and hence, can be extended to a number of general Euler Lagrange systems), it does not require acceleration measurements, and it is independent from the controller. A Lyapunov-based analysis is provided to prove that the developed fault observer converges to the actual fault. Experimental results are provided to illustrate the performance of the identification method.
Keyword:
fault identification
nonlinear dynamics
robot manipulator
期刊
IF:
10.5
论文数:
3.3K
被引数:
2.8W
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