in fact, the neural network applications in the intelligent control and estimation for power electronics and motor drives area. The principal topologies of neural networks that are currently most relevant for applications in power electronics have been reviewed including the detailed description of their properties. Both feedforward and feedback or recurrent architectures have been covered in the description. The application examples that are discussed in this paper include nonlinear function generation, delayless filtering and waveform processing, feedback signal processing of vector drive, space vector PWM of two-level and multilevel inverters, adaptive flux vector estimation, and some of their combination for vector-controlled ac drive.
finally, it appears that neural networks will find widespread applications in power electronics and motor drives in future.
hi,Please go to the following site
http://scholar.google.com/scholar?hl=en&q=application+of+artificial+neural+networks+in+power+electronics&btnG=&as_sdt=1%2C5&as_sdtp=
Dear friend
Greetings.
I have attached some latest papers.
It will help you.
Best regards
Dr.Indrajit Mandal, Ph.D.
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Scopus
EXPORT DATE:05 Jan 2015
Cao, Y., Chen, Y., Khosla, D.
Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition
(2014) International Journal of Computer Vision, 13 p. Article in Press.
http://www.scopus.com/inward/record.url?eid=2-s2.0-84911411169&partnerID=40&md5=321bd634a043c6dedd5e0bd0024bc40d
DOI: 10.1007/s11263-014-0788-3
Xuhong, Y.
Application of SOM artificial neural network to fault diagnosis in nuclear power plant
(2014) IEEE International Symposium on Industrial Electronics, art. no. 6864650, pp. 422-425.
http://www.scopus.com/inward/record.url?eid=2-s2.0-84907353685&partnerID=40&md5=b4c42033d8c5859094c40dcebdbf9165
DOI: 10.1109/ISIE.2014.6864650
Nguyen, T.A., Joubert, P.-Y., Lefebvre, S.
Estimation of the ageing of metallic layers in power semiconductor modules using the eddy current method and artificial neural networks
(2014) Progress In Electromagnetics Research M, 40, pp. 129-141.
http://www.scopus.com/inward/record.url?eid=2-s2.0-84919653957&partnerID=40&md5=49c53fec012627ed7cc6f750bffea3b5
Altaf, S., Al-Anbuky, A., Gholamhosseini, H.
Fault diagnosis in a distributed motor network using Artificial Neural Network
(2014) 2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2014, art. no. 6871946, pp. 190-197.
http://www.scopus.com/inward/record.url?eid=2-s2.0-84906662822&partnerID=40&md5=e252c6757b271687c3870245cc040bfa
DOI: 10.1109/SPEEDAM.2014.6871946
Khajesalehi, J., Tavakoli, M.R., Mahmoodi, A., Afjei, E.
Adaptive harmonic elimination in a five level z-source inverter using artificial neural networks
(2014) PEDSTC 2014 - 5th Annual International Power Electronics, Drive Systems and Technologies Conference, art. no. 6799381, pp. 255-260.
http://www.scopus.com/inward/record.url?eid=2-s2.0-84901341066&partnerID=40&md5=e85ee56ebfc1b5f5de7fbd4ca243c086
DOI: 10.1109/PEDSTC.2014.6799381
Saidi, S., Slama, J.B.H.
A near-field technique based on PZMI, GA, and ANN: Application to power electronics systems
(2014) IEEE Transactions on Electromagnetic Compatibility, 56 (4), art. no. 6675836, pp. 784-791.
http://www.scopus.com/inward/record.url?eid=2-s2.0-84905650698&partnerID=40&md5=a4d897ee716078d905a190dd1465c6b9
DOI: 10.1109/TEMC.2013.2290271
Marinkovic, Z., Crupi, G., Raffo, A., Bosi, G., Avolio, G., Markovic, V., Caddemi, A., Vannini, G., Schreurs, D.M.M.-P.
A neural network approach for nonlinear modelling of LDMOSFETs
(2014) International Workshop on Integrated Nonlinear Microwave and Millimetre-Wave Circuits, INMMiC 2014, art. no. 6815074, .
http://www.scopus.com/inward/record.url?eid=2-s2.0-84901433417&partnerID=40&md5=7f9294a5260e44a5554f4870be1692ae
DOI: 10.1109/INMMIC.2014.6815074
Fuvesi, V., Kovacs, E.
Neural network multi-model based method of fault diagnostics of actuators
(2014) 2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2014, art. no. 6871932, pp. 204-209.
http://www.scopus.com/inward/record.url?eid=2-s2.0-84906656872&partnerID=40&md5=e2b77234ce448bd3807fac24d25d4eb4
DOI: 10.1109/SPEEDAM.2014.6871932
Bendib, B., Krim, F., Belmili, H., Almi, M.F., Bolouma, S.
An intelligent MPPT approach based on neural-network voltage estimator and fuzzy controller, applied to a stand-alone PV system
(2014) IEEE International Symposium on Industrial Electronics, art. no. 6864647, pp. 404-409.
http://www.scopus.com/inward/record.url?eid=2-s2.0-84907319847&partnerID=40&md5=74f7e65beef142788b3b2b413665e811
DOI: 10.1109/ISIE.2014.6864647
He, W., Williard, N., Chen, C., Pecht, M.
State of charge estimation for Li-ion batteries using neural network modeling and unscented Kalman filter-based error cancellation
(2014) International Journal of Electrical Power and Energy Systems, 62, pp. 783-791.
http://www.scopus.com/inward/record.url?eid=2-s2.0-84903199498&partnerID=40&md5=70806550347c53546ae67322363c4c27
DOI: 10.1016/j.ijepes.2014.04.059
Hayati, M., Rezaei, A., Movahedi, R.
Modelling of LDMOS transistor using artificial neural networks: DC and RF performances
(2014) International Journal of Electronics, 99 (7), pp. 907-923.
http://www.scopus.com/inward/record.url?eid=2-s2.0-84910641899&partnerID=40&md5=f2d7b5a04caa2f205751755c630f8d15
DOI: 10.1080/00207217.2011.651687
Kaushal, A., Verma, N.
Implementation of vehicle to grid concept using ANN and ANFIS controller
(2014) Proceedings of the 2014 9th IEEE Conference on Industrial Electronics and Applications, ICIEA 2014, art. no. 6931302, pp. 960-965.
http://www.scopus.com/inward/record.url?eid=2-s2.0-84912103005&partnerID=40&md5=614d33a3348d02a069fc81ade166be0d
DOI: 10.1109/ICIEA.2014.6931302
Huang, C.-M.T., Huang, Y.-C., Huang, K.-Y.
A hybrid method for one-day ahead hourly forecasting of PV power output
(2014) Proceedings of the 2014 9th IEEE Conference on Industrial Electronics and Applications, ICIEA 2014, art. no. 6931220, pp. 526-531.
http://www.scopus.com/inward/record.url?eid=2-s2.0-84912117644&partnerID=40&md5=0533db5771871d284678ae6d033a1586
DOI: 10.1109/ICIEA.2014.6931220
Xu, J., Jones, R., Harris, S.A., Nielsen, T., Root, D.E.
Dynamic FET model - DynaFET - for GaN transistors from NVNA active source injection measurements
(2014) IEEE MTT-S International Microwave Symposium Digest, art. no. 6848293, .
http://www.scopus.com/inward/record.url?eid=2-s2.0-84904994456&partnerID=40&md5=eaea1001e18dd0f02280076c5b3f9528
DOI: 10.1109/MWSYM.2014.6848293
Bouhoune, K., Yazid, K., Boucherit, M.S.
ANN-based DTC scheme to improve the dynamic performance of an IM drive
(2014) IET Conference Publications, 2014 (628 CP), .
http://www.scopus.com/inward/record.url?eid=2-s2.0-84901831028&partnerID=40&md5=239f604bc3e7e4516d86f9fcf2ff7469
DOI: 10.1049/cp.2014.0307
Bouhoune, K., Yazid, K., Boucherit, M.S.
ANN-based DTC scheme to improve the dynamic performance of an IM drive
(2014) 7th IET International Conference on Power Electronics, Machines and Drives, PEMD 2014, .
http://www.scopus.com/inward/record.url?eid=2-s2.0-84907395419&partnerID=40&md5=12318a4fb274aa30d4070f061acfbc80
Payer, G., McCormick, C., Harang, R.
Applying hardware-based machine learning to signature-based network intrusion detection
(2014) Proceedings of SPIE - The International Society for Optical Engineering, 9097, art. no. 909702, .
http://www.scopus.com/inward/record.url?eid=2-s2.0-84906347226&partnerID=40&md5=3dcc758a7ed2bc296cca269bdc60c41f
DOI: 10.1117/12.2049890
Jain, S.K., Singh, S.N.
Low-order dominant harmonic estimation using adaptive wavelet neural network
(2014) IEEE Transactions on Industrial Electronics, 61 (1), art. no. 6419813, pp. 428-435.
http://www.scopus.com/inward/record.url?eid=2-s2.0-84880877425&partnerID=40&md5=18427ca64c2c0f9f0e094e8f3ea20f91
DOI: 10.1109/TIE.2013.2242414
Payer, G., McCormick, C., Harang, R.
Applying hardware-based machine learning to signature-based network intrusion detection
(2014) Proceedings of SPIE - The International Society for Optical Engineering, 9119, art. no. 91190C, .
http://www.scopus.com/inward/record.url?eid=2-s2.0-84906330256&partnerID=40&md5=4e117b7209e4a75ea552112842404921
DOI: 10.1117/12.2052548
Refaat, S.S., Abu-Rub, H., Iqbal, A.
ANN-based system for a discrimination between unbalanced supply voltage and phase loss in induction motors
(2014) IET Conference Publications, 2014 (628 CP), .
http://www.scopus.com/inward/record.url?eid=2-s2.0-84901833281&partnerID=40&md5=234ac52ad50c5a51d9687f89fb9cb909
DOI: 10.1049/cp.2014.0325
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