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Fault Detection for Robot Manipulators via Second-Order Sliding Modes

Daniele Brambilla, Luca Massimiliano Capisani, Antonella Ferrara, Pierluigi Pisu

Year
2008
Citations
116

Abstract

This paper presents a model-based fault detection (FD) and isolation scheme for rigid manipulators. A single fault acting on a specific actuator or on a specific sensor of the manipulator is detected (and, if possible, the exact location of the fault), and an estimation of the fault signal is performed. Input-signal estimator and output observers are considered in order to make the FD procedure possible. By using the <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">suboptimal</i> second-order sliding-mode (SOSM) algorithm to design the input laws of the observers, satisfactory stability properties of the observation error are established. The proposed algorithm is verified in simulation and experimentally on a COMAU SMART3-S2 robot manipulator.

Keywords

Control theory (sociology)Fault detection and isolationActuatorRobot manipulatorEstimatorSIGNAL (programming language)Fault (geology)RobotComputer scienceStability (learning theory)

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