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Sliding mode control of uncertain multivariable nonlinear systems applied to uncalibrated robotics visual servoing

Tiago Roux Oliveira, Alessandro Jacoud Peixoto, Antonio C. Leite, Liu Hsu

发表年份
2009
引用次数
19

摘要

An output-feedback sliding mode controller using monitoring functions was recently introduced for linear uncertain single-input-single-output (SISO) systems with unknown control direction. Here, a generalization is developed for multivariable systems with strong nonlinearities. The monitoring scheme is extended to handle the uncertainty of the plant high frequency gain matrix K <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</sub> . Our strategy provides global stability properties and exact output tracking. Experimental results with a robotics visual servoing system, using a fixed but uncalibrated camera, illustrate the robustness and practical viability of the proposed scheme.

关键词

Visual servoingMultivariable calculusRobustness (evolution)Control theory (sociology)RoboticsNonlinear systemArtificial intelligenceGeneralizationRobust controlComputer science

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