Speed Estimator Design of an Induction Motor Using an Adaptive Neuro-Fuzzy Inference System (ANFIS)

Autor:	Jesus Enrique Salamanca Jaimes, Jaime Antonio Gonzalez Castellanos, Jorge Luis Diaz Rodriguez
Rok vydání:	2020
Předmět:	Adaptive neuro fuzzy inference system Induction machine Electronic speed control Control theory Computer science Estimator Control methods Induction motor Quadrature (mathematics) Voltage
Zdroj:	Communications in Computer and Information Science ISBN: 9783030618339 WEA
Popis:	This paper deals with the speed estimation of an induction motor (IM) based on an Adaptive Neuro-Fuzzy Inference System (ANFIS) for the speed control of the induction machine using the sensorless control technique. The estimation technique ANFIS was reviewed, as well as its implementation detailed. Firstly, the induction motor was simulated with the transformations that allow obtaining the components of the voltages and currents in the direct and quadrature axes. Then the sensorless control method was simulated. Finally, to verify the experimental results, the speed at the output of the ANFIS estimator and the induction motor were compared.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f976a82024d532137165e5d3cfb50f83 https://doi.org/10.1007/978-3-030-61834-6_42 Zobrazit plný text záznamu