Robotics & Machine Learning Daily News2024,Issue(Nov.1) :63-64.

Investigators from Qingdao University of Technology Report New Data on Robotics (Innovative Active Disturbance Motion Control for an Underwater Adsorption Wall- climbing Robot With Uncertainties and Compensations)

Robotics & Machine Learning Daily News2024,Issue(Nov.1) :63-64.

Investigators from Qingdao University of Technology Report New Data on Robotics (Innovative Active Disturbance Motion Control for an Underwater Adsorption Wall- climbing Robot With Uncertainties and Compensations)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news reporting originating from Qingdao, People’s Republic of Ch ina, by NewsRx correspondents, research stated, “The underwater adsorption wall- climbing robot (UAWCR) differs from ground mobile robots in that it is subject t o their unique system uncertainties, multi-source disturbances and a specific ad sorption-motion coupling mechanism, all of which poses great challenges for accu rate control during climbing. Considering the unavailability of precise model pa rameters, the uncertain with multi-source disturbances and strong nonlinearity i n real motion control, this paper proposes a linear active disturbance rejection control method with model compensation (MC-LADRC) method.”

Key words

Qingdao/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Robot/Robotics/Qingdao University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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