首页|Research from Federal University of Rio Grande do Norte Provide New Insights int o Artificial Intelligence (Artificial Intelligence for the Control of Speed of t he Bearing Motor with Winding Split Using DSP)
Research from Federal University of Rio Grande do Norte Provide New Insights int o Artificial Intelligence (Artificial Intelligence for the Control of Speed of t he Bearing Motor with Winding Split Using DSP)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on artificial intelligence are presented in a new report.According to news reporting out of Natal,Brazil,by NewsRx editors,research stated,"This article describes the study and digit al implementation of a system onboard a TMS 3208F28335 ® DSP for vector control of the bearing motor speed with four poles split winding with 250 W of power." Financial supporters for this research include Coordenacao De Aperfeicoamento De Pessoal De Nivel Superior Brasil; Conselho Nacional De Desenvolvimento Cientifi co E Tecnologico.The news editors obtained a quote from the research from Federal University of R io Grande do Norte:"Smart techniques:ANFIS and Neural Networks were investigat ed and computationally implemented to evaluate the bearing motor performance und er the following conditions:operating as an estimator of uncertain parameters a nd as a speed controller.Therefore,the MATLAB program and its toolbox were use d for the simulations and the parameter adjustments involving the structure ANFI S (Adaptive-Network- Based Fuzzy Inference System) and simulations with the Neura l Network." According to the news editors,the research concluded:"The simulated results sh owed a good performance for the two techniques applied differently:the estimato r and a speed controller using both a model of the induction motor operating as a bearing motor.The experimental part for velocity vector control uses three co ntrol loops:current,radial position,and speed,where the configurations of th e peripherals,that is,the interfaces or drivers for driving the bearing motor."
Federal University of Rio Grande do Nort eNatalBrazilSouth AmericaArtificial IntelligenceEmerging TechnologiesMachine Learning
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