Design and Performance Comparison of Variable Parameter Nonlinear Pid Controller and Genetic Algorithm Based Pid Controller
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Dosyalar
Tarih
2012
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info:eu-repo/semantics/closedAccess
Özet
In this study, design and performance comparison of variable parameter nonlinear PID (NL-PID) and Genetic Algorithm (GA) based PID controller are achieved. To begin with the proposed method, an error function depending on the system input and output are defined to determine variable coefficients of the nonlinear PID controller. A new type non linear PID controller is designed by using defined error function. By this way, the nonlinear PID controller changes its own parameters over time according to the output response. Secondly, genetic algorithm based PID controller are defined to performance comparison of the proposed NL-PID controller and Ziegler-Nichols PID controller. Simulation results show that the effects of the PID controllers; nonlinear, GA based and Ziegler-Nichols. © 2012 IEEE.
Açıklama
International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2012 -- 2 July 2012 through 4 July 2012 -- Trabzon -- 92831
Anahtar Kelimeler
gaussian error function (erf), genetic algorithm, variable parameter PID, Ziegler-Nichols method
Kaynak
Inısta 2012 - International Symposium on Innovations in Intelligent Systems and Applications
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N/A
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Künye
Aydoğdu, Ö., Aydoğdu, Ö., Doğan, H., (2012). Design and Performance Comparison of Variable Parameter Nonlinear Pid Controller and Genetic Algorithm Based Pid Controller. Inısta 2012 - International Symposium on Innovations in Intelligent Systems and Applications, 212, 1-5.