Indirect Vector-Controlled Induction Motor Drive System with Rotor Resistance Estimation using an Artificial Neural Network
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| Format: | Artículo científico |
| Sprache: | en |
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Instituto Politécnico Nacional
2006
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| _version_ | 1876466694348603392 |
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| author | P. Huerta González |
| author_facet | P. Huerta González |
| contents | Indirect Vector-Controlled Induction Motor Drive System with Rotor Resistance Estimation using an Artificial Neural Network P. Huerta González J. Rodríguez Rivas I. Torres Rodríguez Ingeniería vector control induction motor artificial neural network rotor resistance estimation This paper presents a rotor resistance estimator based on anartificial neural network (ANN) used in the indirect vectorcontrol (IVC) of an induction motor (IM). Attention is focusedon the dynamic performance of ANN rotor resistanceestimator, which gives superior performance over the fuzzylogic based rotor resistance estimator reported in technicalliterature. The simulation was done using a 1.5 hp inductionmotor. The same ANN rotor resistance estimator was provedwith other IM having different rated powers. The use of thesame ANN was possible because the scaling and descaling(normalization) of the input and output of ANN was propertydone for each motor. The ANN training was done offline usingthe Levenberg-Marquardt algorithm. The neural network is athree-layer network; the first layer has fourteen neurons (ornodes), the hidden layer has five neurons and the outputlayer has only one neuron because the unique output signalis the rotor resistance value. 2006 artículo científico 1665-0654 https://www.redalyc.org/articulo.oa?id=61410406 en http://www.redalyc.org/revista.oa?id=614 Científica application/pdf Instituto Politécnico Nacional Científica (México) Num.4 Vol.10 |
| format | Artículo científico |
| id | redalyc_61410406 |
| institution | Redalyc |
| language | en |
| publishDate | 2006 |
| publisher | Instituto Politécnico Nacional |
| spellingShingle | Indirect Vector-Controlled Induction Motor Drive System with Rotor Resistance Estimation using an Artificial Neural Network P. Huerta González Ingeniería vector control induction motor artificial neural network rotor resistance estimation Indirect Vector-Controlled Induction Motor Drive System with Rotor Resistance Estimation using an Artificial Neural Network P. Huerta González J. Rodríguez Rivas I. Torres Rodríguez Ingeniería vector control induction motor artificial neural network rotor resistance estimation This paper presents a rotor resistance estimator based on anartificial neural network (ANN) used in the indirect vectorcontrol (IVC) of an induction motor (IM). Attention is focusedon the dynamic performance of ANN rotor resistanceestimator, which gives superior performance over the fuzzylogic based rotor resistance estimator reported in technicalliterature. The simulation was done using a 1.5 hp inductionmotor. The same ANN rotor resistance estimator was provedwith other IM having different rated powers. The use of thesame ANN was possible because the scaling and descaling(normalization) of the input and output of ANN was propertydone for each motor. The ANN training was done offline usingthe Levenberg-Marquardt algorithm. The neural network is athree-layer network; the first layer has fourteen neurons (ornodes), the hidden layer has five neurons and the outputlayer has only one neuron because the unique output signalis the rotor resistance value. 2006 artículo científico 1665-0654 https://www.redalyc.org/articulo.oa?id=61410406 en http://www.redalyc.org/revista.oa?id=614 Científica application/pdf Instituto Politécnico Nacional Científica (México) Num.4 Vol.10 |
| title | Indirect Vector-Controlled Induction Motor Drive System with Rotor Resistance Estimation using an Artificial Neural Network |
| topic | Ingeniería vector control induction motor artificial neural network rotor resistance estimation |
| url | https://www.redalyc.org/articulo.oa?id=61410406 |