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Robot manipulator control by acceleration feedback

John Studenny, Pierre Bélanger

发表年份
1984
引用次数
26

摘要

Luo and Saridis have shown that acceleration feedback is optimal with feedforward compensation of the non-linear terms of the equations of motion. In this note, the effect of these non-linearities is explored by use of a Lyapunov stability analysis under LQ assumptions. As a result of this analysis, it is shown that a bounded stable region exists. This region defines a steady state error and maximum operating range. It is shown that this region can be made arbitrarily large, reducing the steady state error and increasing the maximum operating range.

关键词

Control theory (sociology)AccelerationBounded functionCompensation (psychology)Range (aeronautics)Feed forwardRobotStability (learning theory)Lyapunov functionSteady state (chemistry)

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