BibTex RIS Kaynak Göster

POWER FACTOR CORRECTION OF A SWITCHING MODE POWER SUPPLY BY USING NEURO-FUZZY CONTROLLER

Yıl 2005, Cilt: 18 Sayı: 3, 421 - 437, 12.08.2010

Öz

ABSTRACT

The operation of front-end power converters can cause many undesirable effects in the Alternative Current (AC) power system. To prevent these undesirable effects, high-quality rectifiers, also called Power Factor Correctors (PFC) should be used. In this paper, power factor correction of switching mode power supply (SMPS) by using Neuro-Fuzzy (NF) controller is proposed. Average current control technique is used in PFC unit of the SMPS and current mode control technique is used in buck converter unit of the SMPS. To make comparison, the proposed SMPS is also controlled using traditional Proportional and Integral (PI) controller. Performances of these two controllers are compared through the computer simulation. Simulations show that NF controlled SMPS offers faster dynamic response and achieves good power factor correction than PI controlled SMPS.

Kaynakça

  • Mahmoud, I.I., Kamel, S.A., “Using a simulation technique for switched-mode high-voltage power supplies performance study”, IEEE Trans. Ind. Appl, 34(5):945-952 (1998).
  • Pietrenko, W., Janke, W., Kazimierczuk, M.K., “Application of semi analytical recursive convolution algorithms for large-signal time-domain simulation of switch-mode power converters”, IEEE Trans Circuits and Systems-I: Fundamental Theory and Appl., 48(10):1246-1252 (2001).
  • Yang, Z., “Power factor correction circuits with robust current control technique”, IEEE Trans. Aerospace and Electronic Systems, 38(4):1210-1219 (2002).
  • Lin, B.R., Lu, H.H., “Single-phase power factor correction ac/dc converters with three pwm control schemes”, IEEE Trans. Aerospace and Electronic Systems, 36(1):189-200 (2000).
  • Lin, B.R., Chen, D-J, Hung, T-L., “Half-bridge neutral point diode clamped rectifier for power factor correction”, IEEE Trans Aerospace and Electronic Systems, 38(4):1287-1294 (2002).
  • Yang, Z., “A novel technique to achieve unity power factor and high quality waveform in ac-to-dc converters”, Thirty-Third IAS Anual Meeting. IEEE Industry Application Conference, vol.2:1275-1285 (1998).
  • Le Bunetel, J.C., Machmoum, M., “Control of boost unity power factor correction systems”, IECON’99 Proceedings the 25 th Annual Conference of the IEEE, vol.1: 266-271 (1999).
  • Song, Y-H, Johns, AT., “Application of fuzzy logic in power system: Part1”, Power Engineering Journal, 219-222 (1997).
  • Mattavelli, P., Rossetto, L., Spiazzi, G., Tenti, P., “General-purpose fuzzy controller for dc-dc converters”, IEEE Trans Power Electronics, 12(1):79-86 (1997).
  • Semyej, M., Cheritti, A., “Fuzzy logic controller for a dc to dc converter”, Proceedings of the 1999 IEEE Canadian Conference on Electrical and Computer Engineering, 1020-1023 (1999).
  • Buckley, J.J., Hayashi, Y., “Fuzzy neural networks: A survey”, Fuzzy Sets and Systems, 66:1-13 (1994).
  • Buckley, J.J., Hayashi, Y., “Neural networks for fuzzy systems”, Fuzzy Sets and Systems, 71:265-276 (1995).
  • Nauck, D., Klawonn, F., Kruse, R., “Foundations of neuro-fuzzy systems”, Wiley, Chichester, (1996).
  • Nauck, D., Kruse, R., “Designing neuro-fuzzy systems through backpropagation” W. Pedrycz, Ed., Fuzzy Modelling: Paradigms and Practice, Kluwer, Boston, 203-228 (1996).
  • Shi, Y., Mizumoto, M., “Some considerations on conventional neuro-fuzzy learning algorithms by gradient descent method”, Fuzzy Sets and Systems, 112(1):51-63 (2000).
  • Shi, Y., Mizumoto, M., “A new approach of neuro-fuzzy learning algorithm for tuning fuzzy rules”, Fuzzy Sets and Systems, 112(1):99-116 (2000).
  • Costa Branco, P.J., Dente, J.A., „Control of an Electro-Hydraulic System Using Neuro-Fuzzy Modeling and Real- Time Learning Approaches”, Int.Journal of Knowledge-Based Intelligent Engineering Systems, 1(4):190-206 (1997).
  • Lin, B.R., Hoft, R.G., “Neural Networks and Fuzzy Logic in Power Electronics”, Journal of Control Engineering Practice, 2(1):113-121 (1994).

SİNİRSEL BULANIK DENETLEYİCİ KULLANARAK BİR ANAHTARLAMALI GÜÇ KAYNAĞINDA GÜÇ FAKTÖRÜ DÜZELTİMİ

Yıl 2005, Cilt: 18 Sayı: 3, 421 - 437, 12.08.2010

Öz

Çeşitli cihazlarda kullanılan güç dönüştürücüleri, alternatif akım (AA) güç sistemlerinde bir çok istenmeyen etkilere sebep olabilmektedir. Bu istenmeyen etkileri önlemek için, Güç Faktörü Düzelticiler(GFD) olarak adlandırılan yüksek kaliteli doğrultucular kullanılmalıdır. Bu makalede, Sinirsel Bulanık Mantık (SBM) denetleyicisi kullanılarak anahtarlamalı güç kaynağının (AGK) güç faktörü düzeltmesi sunulmaktadır. AGK’ nın GFD biriminde ortalama akım denetim tekniği, gerilim düşüren dönüştürücü biriminde akım mod denetim tekniği kullanılmaktadır. Kıyaslama yapmak için, önerilen AGK aynı zamanda geleneksel oransal integral (PI) denetleyici kullanılarak da denetlenmektedir. Bu iki denetleyicinin başarımı bilgisayar benzetimleri ile karşılaştırılmaktadır. Benzetim çalışmaları, SBM denetleyicili AGK’ nın PI denetleyicili AGK’ ya göre daha hızlı dinamik cevaba sahip olduğu ve daha iyi bir güç faktörü düzeltmesi yaptığını göstermektedir

Kaynakça

  • Mahmoud, I.I., Kamel, S.A., “Using a simulation technique for switched-mode high-voltage power supplies performance study”, IEEE Trans. Ind. Appl, 34(5):945-952 (1998).
  • Pietrenko, W., Janke, W., Kazimierczuk, M.K., “Application of semi analytical recursive convolution algorithms for large-signal time-domain simulation of switch-mode power converters”, IEEE Trans Circuits and Systems-I: Fundamental Theory and Appl., 48(10):1246-1252 (2001).
  • Yang, Z., “Power factor correction circuits with robust current control technique”, IEEE Trans. Aerospace and Electronic Systems, 38(4):1210-1219 (2002).
  • Lin, B.R., Lu, H.H., “Single-phase power factor correction ac/dc converters with three pwm control schemes”, IEEE Trans. Aerospace and Electronic Systems, 36(1):189-200 (2000).
  • Lin, B.R., Chen, D-J, Hung, T-L., “Half-bridge neutral point diode clamped rectifier for power factor correction”, IEEE Trans Aerospace and Electronic Systems, 38(4):1287-1294 (2002).
  • Yang, Z., “A novel technique to achieve unity power factor and high quality waveform in ac-to-dc converters”, Thirty-Third IAS Anual Meeting. IEEE Industry Application Conference, vol.2:1275-1285 (1998).
  • Le Bunetel, J.C., Machmoum, M., “Control of boost unity power factor correction systems”, IECON’99 Proceedings the 25 th Annual Conference of the IEEE, vol.1: 266-271 (1999).
  • Song, Y-H, Johns, AT., “Application of fuzzy logic in power system: Part1”, Power Engineering Journal, 219-222 (1997).
  • Mattavelli, P., Rossetto, L., Spiazzi, G., Tenti, P., “General-purpose fuzzy controller for dc-dc converters”, IEEE Trans Power Electronics, 12(1):79-86 (1997).
  • Semyej, M., Cheritti, A., “Fuzzy logic controller for a dc to dc converter”, Proceedings of the 1999 IEEE Canadian Conference on Electrical and Computer Engineering, 1020-1023 (1999).
  • Buckley, J.J., Hayashi, Y., “Fuzzy neural networks: A survey”, Fuzzy Sets and Systems, 66:1-13 (1994).
  • Buckley, J.J., Hayashi, Y., “Neural networks for fuzzy systems”, Fuzzy Sets and Systems, 71:265-276 (1995).
  • Nauck, D., Klawonn, F., Kruse, R., “Foundations of neuro-fuzzy systems”, Wiley, Chichester, (1996).
  • Nauck, D., Kruse, R., “Designing neuro-fuzzy systems through backpropagation” W. Pedrycz, Ed., Fuzzy Modelling: Paradigms and Practice, Kluwer, Boston, 203-228 (1996).
  • Shi, Y., Mizumoto, M., “Some considerations on conventional neuro-fuzzy learning algorithms by gradient descent method”, Fuzzy Sets and Systems, 112(1):51-63 (2000).
  • Shi, Y., Mizumoto, M., “A new approach of neuro-fuzzy learning algorithm for tuning fuzzy rules”, Fuzzy Sets and Systems, 112(1):99-116 (2000).
  • Costa Branco, P.J., Dente, J.A., „Control of an Electro-Hydraulic System Using Neuro-Fuzzy Modeling and Real- Time Learning Approaches”, Int.Journal of Knowledge-Based Intelligent Engineering Systems, 1(4):190-206 (1997).
  • Lin, B.R., Hoft, R.G., “Neural Networks and Fuzzy Logic in Power Electronics”, Journal of Control Engineering Practice, 2(1):113-121 (1994).
Toplam 18 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Electrical & Electronics Engineering
Yazarlar

Ömer Faruk Bay

İsmail Atacak

Yayımlanma Tarihi 12 Ağustos 2010
Yayımlandığı Sayı Yıl 2005 Cilt: 18 Sayı: 3

Kaynak Göster

APA Bay, Ö. F., & Atacak, İ. (2010). POWER FACTOR CORRECTION OF A SWITCHING MODE POWER SUPPLY BY USING NEURO-FUZZY CONTROLLER. Gazi University Journal of Science, 18(3), 421-437.
AMA Bay ÖF, Atacak İ. POWER FACTOR CORRECTION OF A SWITCHING MODE POWER SUPPLY BY USING NEURO-FUZZY CONTROLLER. Gazi University Journal of Science. Ağustos 2010;18(3):421-437.
Chicago Bay, Ömer Faruk, ve İsmail Atacak. “POWER FACTOR CORRECTION OF A SWITCHING MODE POWER SUPPLY BY USING NEURO-FUZZY CONTROLLER”. Gazi University Journal of Science 18, sy. 3 (Ağustos 2010): 421-37.
EndNote Bay ÖF, Atacak İ (01 Ağustos 2010) POWER FACTOR CORRECTION OF A SWITCHING MODE POWER SUPPLY BY USING NEURO-FUZZY CONTROLLER. Gazi University Journal of Science 18 3 421–437.
IEEE Ö. F. Bay ve İ. Atacak, “POWER FACTOR CORRECTION OF A SWITCHING MODE POWER SUPPLY BY USING NEURO-FUZZY CONTROLLER”, Gazi University Journal of Science, c. 18, sy. 3, ss. 421–437, 2010.
ISNAD Bay, Ömer Faruk - Atacak, İsmail. “POWER FACTOR CORRECTION OF A SWITCHING MODE POWER SUPPLY BY USING NEURO-FUZZY CONTROLLER”. Gazi University Journal of Science 18/3 (Ağustos 2010), 421-437.
JAMA Bay ÖF, Atacak İ. POWER FACTOR CORRECTION OF A SWITCHING MODE POWER SUPPLY BY USING NEURO-FUZZY CONTROLLER. Gazi University Journal of Science. 2010;18:421–437.
MLA Bay, Ömer Faruk ve İsmail Atacak. “POWER FACTOR CORRECTION OF A SWITCHING MODE POWER SUPPLY BY USING NEURO-FUZZY CONTROLLER”. Gazi University Journal of Science, c. 18, sy. 3, 2010, ss. 421-37.
Vancouver Bay ÖF, Atacak İ. POWER FACTOR CORRECTION OF A SWITCHING MODE POWER SUPPLY BY USING NEURO-FUZZY CONTROLLER. Gazi University Journal of Science. 2010;18(3):421-37.