Application of Artificial Neural Network for Analysis of Self-Excited Induction Generator
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidad Nacional de La Plata
2006
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| _version_ | 1876464297464299520 |
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| author | Raja Singh Khela |
| author_facet | Raja Singh Khela |
| contents | Application of Artificial Neural Network for Analysis of Self-Excited Induction Generator Raja Singh Khela Raj Kumar Bansal K. S. Sandhu Ashok Kumar Goel Computación Self Artificial Neural Networks Excited Induction Generator It is observed that conventional techniques to analyse the steady state analysis of Self-Excited Induction Generator (SEIG) involve cumbersome mathematical procedures. In this paper an Artificial Intelligence (AI) technique has been used to analyse the behaviour of Self-Excited Induction Generator, which does not require rigorous modelling as required in conventional techniques. Proposed Artificial Neural Network (ANN) model has been implemented to predict the effect of speed, capacitance and load on generated voltage and frequency of SEIG. Experimental data is used for the training of ANN. Results obtained from the trained ANN are found to be in close agreement with the experimental results. 2006 artículo científico 1666-6046 https://www.redalyc.org/articulo.oa?id=638067341007 en http://www.redalyc.org/revista.oa?id=6380 Journal of Computer Science and Technology application/pdf Universidad Nacional de La Plata Journal of Computer Science and Technology (Argentina) Num.02 Vol.6 |
| format | Artículo científico |
| id | redalyc_638067341007 |
| institution | Redalyc |
| language | en |
| publishDate | 2006 |
| publisher | Universidad Nacional de La Plata |
| spellingShingle | Application of Artificial Neural Network for Analysis of Self-Excited Induction Generator Raja Singh Khela Computación Self Artificial Neural Networks Excited Induction Generator Application of Artificial Neural Network for Analysis of Self-Excited Induction Generator Raja Singh Khela Raj Kumar Bansal K. S. Sandhu Ashok Kumar Goel Computación Self Artificial Neural Networks Excited Induction Generator It is observed that conventional techniques to analyse the steady state analysis of Self-Excited Induction Generator (SEIG) involve cumbersome mathematical procedures. In this paper an Artificial Intelligence (AI) technique has been used to analyse the behaviour of Self-Excited Induction Generator, which does not require rigorous modelling as required in conventional techniques. Proposed Artificial Neural Network (ANN) model has been implemented to predict the effect of speed, capacitance and load on generated voltage and frequency of SEIG. Experimental data is used for the training of ANN. Results obtained from the trained ANN are found to be in close agreement with the experimental results. 2006 artículo científico 1666-6046 https://www.redalyc.org/articulo.oa?id=638067341007 en http://www.redalyc.org/revista.oa?id=6380 Journal of Computer Science and Technology application/pdf Universidad Nacional de La Plata Journal of Computer Science and Technology (Argentina) Num.02 Vol.6 |
| title | Application of Artificial Neural Network for Analysis of Self-Excited Induction Generator |
| topic | Computación Self Artificial Neural Networks Excited Induction Generator |
| url | https://www.redalyc.org/articulo.oa?id=638067341007 |