The discussion on interval type-2 fuzzy logic controller with Stewart Platform

Author

Huang, Chin-I ; Shen, Meng-Shiuan

Author_Institution

Inst. of Syst. Inf. & Control, Nat. Kaohsiung First Univ. of Sci. & Technol., Kaohsiung, Taiwan

fYear

2012

fDate

10-15 June 2012

Firstpage

1

Lastpage

7

Abstract

Due to the Stewart Platform is high nonlinear, complexity system of uncertainty and imprecision information. So, the interval type-2 fuzzy logic system (IT2FLS) is proposed to improve the performance of the traditional limitations of type-1 fuzzy logic system (T1FLS) for coping with above control problems. Furthermore, the Karnik-Mendel (KM) algorithm is used to reduce order from interval type-2 fuzzy sets. In the same situation case, the performance of IT2FLC compare effectively with T1FLC through the command voltage signals an d the experimental results such as the step and sinusoidal tracking responses. Hence, the proposed controller is feasibility and effectiveness.

Keywords

fuzzy control; fuzzy logic; nonlinear control systems; robots; tracking; uncertain systems; Karnik-Mendel algorithm; Stewart platform; complexity system; imprecision information; interval type-2 fuzzy logic controller; interval type-2 fuzzy logic system; interval type-2 fuzzy set; nonlinear system; parallel six-axis robot; sinusoidal tracking response; uncertainty information; Actuators; Fuzzy logic; Fuzzy sets; Kinematics; Uncertainty; Vectors; Interval Type-2 Fuzzy Logic Controller; Karnik-Mendel Algorithm; Stewart Platform;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on

Conference_Location

Brisbane, QLD

ISSN

1098-7584

Print_ISBN

978-1-4673-1507-4

Electronic_ISBN

1098-7584

Type

conf

DOI

10.1109/FUZZ-IEEE.2012.6251317

Filename

6251317