An on-line rule weighting mechanism based on normalized acceleration for fuzzy PID controllers

Onur Karasakal, Mujde Guzelkaya, Ibrahim Eksin, Engin Yesil

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1 Atıf (Scopus)

Özet

In this study, an on-line rule weighting method is proposed for fuzzy PID controllers. For this purpose, the relative importance or influence of the fired fuzzy rules is determined for certain regions of the transient phase of the unit step response of the closed loop system. Meta-rules for the adjustment of the rule weights are derived according to the error value and the relative information on the fastness or slowness of the system response to obtain an efficient and appropriate control signal. Then, the rule weight values are adjusted via a fuzzy inference mechanism in an on-line manner. The inputs of the fuzzy mechanism are the "normalized system error" and the "normalized acceleration". The "normalized acceleration" gives the "relative rate" information about the fastness or slowness of the system response. The effectiveness of the proposed self tuning method is demonstrated on two processes by simulations.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıIFAC International Workshop on the Adaptation and Learning in Control and Signal Processing, ALCOSP 2010 - Proceedings
YayınlayanIFAC Secretariat
Sayfalar282-287
Sayfa sayısı6
BaskıPART 1
ISBN (Basılı)9783902661852
DOI'lar
Yayın durumuYayınlandı - 2010
Etkinlik10th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, ALCOSP 2010 - Antalya, Turkey
Süre: 26 Ağu 201028 Ağu 2010

Yayın serisi

AdıIFAC Proceedings Volumes (IFAC-PapersOnline)
SayıPART 1
Hacim1
ISSN (Basılı)1474-6670

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???event.eventtypes.event.conference???10th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, ALCOSP 2010
Ülke/BölgeTurkey
ŞehirAntalya
Periyot26/08/1028/08/10

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