Robotics & Machine Learning Daily News2024,Issue(Aug.7) :122-122.

Study Findings from Tsinghua University Broaden Understanding of Artificial Inte lligence (Application of Hill Climbing Method In Position Angle Compensation for Spmsm)

Robotics & Machine Learning Daily News2024,Issue(Aug.7) :122-122.

Study Findings from Tsinghua University Broaden Understanding of Artificial Inte lligence (Application of Hill Climbing Method In Position Angle Compensation for Spmsm)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Artific ial Intelligence. According to news reportingoriginating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Surfacemountedpermanent magnet synchronous motor (SPMSM) is widely used in the industrial fiel d withexcellent performance, and the rise of artificial intelligence has also p romoted its development. In orderto improve the estimation accuracy and respons e of speed and position angle in the SPMSM sensorlesscontrol system, a novel sl iding mode control model reference adaptive system (NSMC-MRAS) observerbased on variable step hill climbing method for online optimization is proposed.”

Key words

Beijing/People’s Republic of China/Asi a/Artificial Intelligence/Emerging Technologies/Machine Learning/Tsinghua Un iversity

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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