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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
An Intelligent Hybrid Fuzzy
Pid Controller |
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Authors: |
Isin Erenoglu, Ibrahim Eksin, Engin Yesil, Mujde Guzelkaya |
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Published in:
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(2006).ECMS
2006 Proceedings edited by: W. Borutzky, A. Orsoni, R. Zobel. European
Council for Modeling and Simulation. doi:10.7148/2006 ISBN:
0-9553018-0-7 20th
European Conference on Modelling and Simulation, Bonn,
May 28-31, 2006 |
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Citation
format: |
Erenoglu, I., Eksin,
I., Yesil, E., & Guzelkaya,
M. (2006). An Intelligent Hybrid Fuzzy Pid
Controller. ECMS 2006 Proceedings edited by: W. Borutzky,
A. Orsoni, R. Zobel
(pp. 62-66). European Council for Modeling and Simulation. doi:10.7148/2006-0062 |
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DOI: |
http://dx.doi.org/10.7148/2006-0062 |
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Abstract: |
In this study,
a design methodology is introduced that blends the classical PID and the
fuzzy controllers in an intelligent way and thus a new intelligent hybrid controller
has been achieved. Basically, in this design methodology, the classical PID
and fuzzy controller have been combined by a blending mechanism that depends on a certain function of actuating error. Moreover, an intelligent
switching scheme is induced on the blending mechanism that makes a decision
upon the priority of the two controller parts; namely, the classical PID and
the fuzzy constituents. The simulations done on various processes using the
new hybrid fuzzy
PID controller provides ‘better’ system responses in terms of transient and
steady-state performances when compared to the pure classical PID or the pure fuzzy controller applications. The controller parameters are
all tuned by the aid of genetic search algorithm. |
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