Title :
On-line rotor resistance estimation for an induction motor drive based on DSC
Author :
Martinez-Hernandez, Moises Agustin ; Mendoza-Mondragon, F. ; Resendiz, J.R. ; Rodriguez-Ponce, Rafael ; Gutierrez-Villalobos, J.M.
Author_Institution :
Lab. de Mecatronica, Univ. Autonoma de Queretaro, Queretaro, Mexico
Abstract :
In this research a neural network is used to estimate the rotor resistance of an induction motor. A set of tools developed by Texas Instruments is used along with customized blocks such as an ANN block in order to put into operation a sensorless suitable adjustable speed drive for motion control applications. The results are discussed to verify the rotor resistance estimation by an ANN. Values for current, stator resistance and speed are transmitted serially to the computer that monitors such variables.
Keywords :
angular velocity; computerised monitoring; digital signal processing chips; electric resistance; estimation theory; induction motor drives; machine control; motion control; neurocontrollers; rotors; ANN block; DSC-based induction motor drive; Texas Instruments; computerised monitoring; motion control applications; neural network; online rotor resistance estimation; sensorless suitable adjustable speed drive; stator resistance;
Conference_Titel :
Education and Research Conference (EDERC), 2012 5th European DSP
Conference_Location :
Amsterdam
Print_ISBN :
978-1-4673-4595-8
Electronic_ISBN :
978-1-4673-4595-8
DOI :
10.1109/EDERC.2012.6532262
