Paper Info
Title
A robust control of a class of induction motors using rough type-2 fuzzy neural networks
Abstract
In this paper, a new adaptive control method is presented for a class of induction motors. The dynamics of the system are assumed to be unknown and also are perturbed by some disturbances such as variation of load torque and rotor resistance. A type-2 fuzzy system based on rough neural network (T2FRNN) is proposed to estimate uncertainties. The parameters of T2FRNN are adjusted based on the adaptation laws which are obtained from Lyaponuv stability analysis. The effects of the uncertainties and the approximation errors are compensated by the proposed control method. Simulation results verify the good performance of the proposed control method. Also a numerical comparison is provided to show the effectiveness of the proposed fuzzy system.
Year
DOI
Venue
2020
10.1007/s00500-019-04493-3
Soft Computing
Keywords
DocType
Volume
Induction motor, Rough neural network, Type-2 fuzzy systems, Robust stability analysis, Faulty conditions
Journal
24
Issue
ISSN
Citations 
13
1432-7643
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Mohammad Hosein Sabzalian101.01
Ardashir Mohammadzadeh223.42
Shuyi Lin311.37
Weidong Zhang438367.45