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End-point sensing and state observation of a flexible-link robot

Youfu Li, Daniel Chen

发表年份
2001
引用次数
26

摘要

This paper presents an end-point sensor system and the development of an observer to reconstruct the states of a flexible-link robot. The sensor system includes a tip displacement sensor and an accelerometer. Based on the assumed-models method, an observer is developed using the Kalman filtering algorithm. Experimental results are given to demonstrate the effectiveness of the observer.

关键词

Observer (physics)AccelerometerKalman filterComputer scienceLink (geometry)Displacement (psychology)Control theory (sociology)RobotPoint (geometry)Artificial intelligence

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