DocumentCode :
227025
Title :
The simplest interval type-2 fuzzy PID controller: Structural analysis
Author :
Sakalli, Ahmet ; Kumbasar, Tufan ; Dodurka, Mehmet Furkan ; Yesil, Engin
Author_Institution :
Control & Autom. Eng. Dept., Istanbul Tech. Univ., Istanbul, Turkey
fYear :
2014
fDate :
6-11 July 2014
Firstpage :
626
Lastpage :
633
Abstract :
In this paper, we will present analytical derivations of the simplest the Interval Type-2 Fuzzy PID (IT2-FPID) controller output which is composed of only 4 rules. Thus, we will first propose a new visualizing method called Surface of the Switching Points (S-MAP) in order to better analyze the derivation of the Switching Points (SPs) of the Karnik-Mendel algorithms. We presented mathematical explanation of the S-MAP and showed that the SPs are determined by only two Boundary Functions (BFs) for the simplest IT2-FPID controller. We will then give the simplified analytical derivation of the simplest IT2-FPID controller around the steady state via the employed BFs and S-MAP. We have illustrated that the simplest IT2-FPID controller is in fact analogous to a conventional PID controller around the steady state. We presented the simplest IT2-FPID controller output in terms of the parameters of the antecedent IT2-FSs. We examined the effect of the design parameter over IT2-FPID control system performance. In the light of the observations, we presented a simple self-tuning mechanism to enhance the transient state and disturbance rejection performance.
Keywords :
control system synthesis; fuzzy control; three-term control; IT2-FPID controller; Karnik-Mendel algorithm; S-MAP; boundary function; control system performance; design parameter; disturbance rejection performance; interval type-2 fuzzy PID controller; steady state; structural analysis; surface of the switching points; transient state; visualizing method; Algorithm design and analysis; Equations; Mathematical model; Steady-state; Switches; Visualization; Karnik-Mendel Method; Simplest Interval type-2 fuzzy PID controllers; Switicing Points;
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.2014.6891830
Filename :
6891830
Link To Document :
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