Title :
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
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;
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-1507-4
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZ-IEEE.2012.6251317