Robotics & Machine Learning Daily News2024,Issue(Feb.14) :47-48.DOI:10.3390/act13020046

Report Summarizes Robotics Study Findings from University of Castilla-La Mancha (A New Smith Predictor Motor Control System to Reduce Disturbance Effects Caused by Unknown Terrain Slopes in Mobile Robots)

Robotics & Machine Learning Daily News2024,Issue(Feb.14) :47-48.DOI:10.3390/act13020046

Report Summarizes Robotics Study Findings from University of Castilla-La Mancha (A New Smith Predictor Motor Control System to Reduce Disturbance Effects Caused by Unknown Terrain Slopes in Mobile Robots)

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Abstract

Research findings on robotics are discussed in a new report. According to news reporting out of Ciudad Real, Spain, by NewsRx editors, research stated, “Accurate trajectory tracking is a paramount objective when a mobile robot must perform complicated tasks.” Our news correspondents obtained a quote from the research from University of Castilla-La Mancha: “In high-speed movements, hardware-induced delays may produce overshoots and even instability when controlling the system. In this case, Smith predictor controllers can be used because they are well suited for delayed processes. This paper addresses the accurate positioning of a mobile robot on a terrain of an unknown slope. This slope produces disturbance torques of unknown amplitudes in the robot actuators that yield a steady-state error in the positioning. Because our actuators are integrating plus time delay plants, the standard Smith predictor cannot remove these disturbances. This paper proposes a modification of this control scheme in order to remove these disturbances yielding a zero steady-state error in the actuators.”

Key words

University of Castilla-La Mancha/Ciudad Real/Spain/Europe/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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参考文献量35
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