DocumentCode :
226585
Title :
Analysis of the performances of type-1, self-tuning type-1 and interval type-2 fuzzy PID controllers on the Magnetic Levitation system
Author :
Sakalli, Ahmet ; Kumbasar, Tufan ; Yesil, Engin ; Hagras, Hani
Author_Institution :
Dept. of Control & Autom. Eng., Istanbul Tech. Univ., Istanbul, Turkey
fYear :
2014
fDate :
6-11 July 2014
Firstpage :
1859
Lastpage :
1866
Abstract :
In this paper, we will compare the closed loop control performance of interval type-2 fuzzy PID controller with the type-1 fuzzy PID and conventional PID controllers counterparts for the Magnetic Levitation Plant. We will also compare the control performance of the interval type-2 fuzzy PID controller with the self-tuning type-1 fuzzy PID controllers. The internal structures of implemented controllers are firstly examined and then the design parameters of each controller are optimized for a given reference trajectory. The paper also show the effect of the extra degree of freedom provided by antecedent membership functions of interval type-2 fuzzy logic controller on the closed loop system performance. The real-time experiments are accomplished on an unstable nonlinear system, QUANSER Magnetic Levitation Plant, in order to show the superiority of the optimized interval type-2 fuzzy PID controller compared to optimized PID and type-1 counterparts.
Keywords :
closed loop systems; control system synthesis; fuzzy control; magnetic levitation; magnetic variables control; nonlinear control systems; three-term control; QUANSER magnetic levitation plant; antecedent membership functions; closed loop control performance; interval type-2 fuzzy PID controller; interval type-2 fuzzy logic controller; magnetic levitation system; nonlinear system; performance analysis; self-tuning type-1 fuzzy PID controller; Coils; Magnetic levitation; Optimization; Real-time systems; Trajectory; Tuning; Interval type-2 fuzzy PID controllers; magnetic levitation system; self-tuning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-2073-0
Type :
conf
DOI :
10.1109/FUZZ-IEEE.2014.6891615
Filename :
6891615
Link To Document :
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