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Adaptive Control of Manipulators via an Extension to the Error-Based Minimal Control Synthesis with Integral Action Algorithm

Koichi Koganezawa, David P Stoten

发表年份
2007
引用次数
2

摘要

This paper introduces an extension to the original error-based minimal control synthesis with integral action (Er-MCSI) algorithm, for controlling serial link manipulators. Minimal control synthesis (MCS) methods have a number of attractive features: no a priori knowledge of the robot structure is required; e.g., no need for parameter identification, no precise adjustment of control parameters is necessary and proven stability. After a brief summary of the basic MCS algorithm, we introduce the new algorithm, which provides a more robust environment in terms of gain wind-up protection. A proof of stability is also provided, together with simulation studies upon serial link manipulators, which demonstrate the excellent performance of the proposed algorithm, even under severe test conditions.

关键词

Extension (predicate logic)A priori and a posterioriComputer scienceStability (learning theory)AlgorithmRobot manipulatorControl theory (sociology)Adaptive controlControl (management)Robot

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