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Fault diagnosis in robot manipulators in presence of modeling uncertainty and sensor noise

Saeed Mohseni, Mehrzad Namvar

发表年份
2009
引用次数
4

摘要

In this paper, we introduce a new approach to fault detection and isolation for robot manipulators. Our technique is based on using a new simplified Euler-Lagrange (EL) equation that reduces complexity of the proposed fault detection method. The proposed approach isolates the faults and is capable of handling the uncertainty in manipulator gravity vector. It is shown that the effect of uncalibrated torque sensor measurement is asymptotically rejected in the detection process. A simulation example is presented to illustrate the results.

关键词

Fault detection and isolationControl theory (sociology)Robot manipulatorNoise (video)RobotFault (geology)TorqueComputer scienceProcess (computing)Manipulator (device)

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