首页|Study Findings from Tsinghua University Broaden Understanding of Artificial Inte lligence (Application of Hill Climbing Method In Position Angle Compensation for Spmsm)
Study Findings from Tsinghua University Broaden Understanding of Artificial Inte lligence (Application of Hill Climbing Method In Position Angle Compensation for Spmsm)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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.”
BeijingPeople’s Republic of ChinaAsi aArtificial IntelligenceEmerging TechnologiesMachine LearningTsinghua Un iversity
NETL
NSTL
