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A big bang-big crunch optimization based approach for interval type-2 fuzzy PID controller design

  • University of Essex

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakemli

19 Atıf (Scopus)

Özet

In this paper, we will present a big bang-big crunch optimization (BB-BC) based approach for the design of an interval type-2 fuzzy PID controller. The implemented global optimization algorithm has a low computational cost and a high convergence speed. As a consequence, the BB-BC method is a very efficient search algorithm when the number of the optimization parameters is relatively big. The optimized type-2 fuzzy controller is compared with PID and type-1 fuzzy PID controllers which were optimized with either the BB-BC optimization method or conventional design strategies. The paper will also show the effect the extra degrees of freedom provided by the antecedent interval type-2 fuzzy sets on the closed loop system performance. We will present a comparative study performed on the highly nonlinear cascaded tank process to show the superiority of the optimized interval type-2 fuzzy PID controller compared to its optimized PID, type-1 counterparts.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıFUZZ-IEEE 2013 - 2013 IEEE International Conference on Fuzzy Systems
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Basılı)9781479900220
DOI'lar
Yayın durumuYayınlandı - 2013
Etkinlik2013 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2013 - Hyderabad, India
Süre: 7 Tem 2013 → 10 Tem 2013

Yayın serisi

AdıIEEE International Conference on Fuzzy Systems
ISSN (Basılı)1098-7584

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???event.eventtypes.event.conference???2013 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2013
Ülke/BölgeIndia
ŞehirHyderabad
Periyot7/07/13 → 10/07/13

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