Inverse fuzzy model control with online adaptation via big bang-big crunch optimization

Tufan Kumbasar*, Engin Yeşil, Ibrahim Eksin, Müjde Güzelkaya

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

37 Atıf (Scopus)

Özet

Fuzzy logic modeling is a powerful tool in representing nonlinear systems. Moreover, inverse fuzzy model can be used as a controller in an open loop fashion to produce perfect control. However, in the case of modeling mismatches and disturbances that might occur on the system, open loop control would not be sufficient. In that case, the modeling errors and disturbances could be compensated by Internal Model Control (IMC) with an on-line model adaptation scheme. The on-line adaptation is usually accomplished via recursive least square algorithm. In this study, Big Bang-Big Crunch (BB-BC) optimization method, which has a low computational time and high convergence speed, has been used as an on-line adaptation scheme. The inverse fuzzy model based IMC and the BB-BC optimization method based adaptation have been implemented and tested on a real time heating process system.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2008 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP2008
Sayfalar697-702
Sayfa sayısı6
DOI'lar
Yayın durumuYayınlandı - 2008
Etkinlik2008 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP2008 - St. Julians, Malta
Süre: 12 Mar 200814 Mar 2008

Yayın serisi

Adı2008 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP 2008

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???event.eventtypes.event.conference???2008 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP2008
Ülke/BölgeMalta
ŞehirSt. Julians
Periyot12/03/0814/03/08

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