Intelligent system stability using type-2 fuzzy controller

D., Nagarajan and J., Kavikumar and M., Lathamaheswari and S., Broumi (2019) Intelligent system stability using type-2 fuzzy controller. International Journal of Integrated Engineering, 11 (1). pp. 270-282. ISSN 2229-838X

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To avoid mathematical complexity, Interval T2FSs (IT2FSs) have been pertained in majority of the fields. Type-2 fuzzy sets (T2FSs) handle a greater modeling and uncertainties that exist in the real world applications especially in control systems. One of the important components that influence the fuzzy controller is the triangular norm, which is the aggregation operator. For getting the stability of a control system T-norm operator can be preferred. Gaussian Interval Type-2 Membership Function (GIT2MF) has been used in this research. Mathematical properties of aggregation operator also proved using Gaussian Interval Type-2 Weighted Arithmetic (GIT2WA) operator. The aim of this research is analyzing the stability of an inverted pendulum using Interval Type-2 Fuzzy Logic Controller (IT2FLC) and the results are compared with traditional Proportional Integrated Derivative (PID) controller. It is observed that IT2FL controller gives better stability under imprecise condition.

Item Type: Article
Uncontrolled Keywords: Gaussian membership function; T-norm; type-2 fuzzy sets; PID controllers; interval type-2 fuzzy logic controller; inverted pendulum; stability analysis.
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Divisions: Faculty of Applied Science and Technology > Department of Postgraduate
Depositing User: Miss Afiqah Faiqah Mohd Hafiz
Date Deposited: 05 Jan 2022 04:39
Last Modified: 05 Jan 2022 04:39

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