Paper Info
Title
Robust Takagi-Sugeno Fuzzy Speed Regulator for DC Series Motors
Abstract
This paper presents the design of fuzzy logic based speed regulator for DC series motor. A Takagi-Sugeno (TS) fuzzy model of DC series motor considering parametric uncertainty is first constructed using sector nonlinearity and set of operating point techniques. An integral state is then introduced in each fuzzy plant sub-model to guarantee exact tracking of speed commands. A parallel distributed compensation (PDC) controller under H-, decay rate and control input constraints, is finally designed for the augmented system to regulate the motor speed in the presence of load torque and parameter variations. MATLAB simulations are performed to prove the effectiveness of the proposed regulator.
Year
DOI
Venue
2014
10.1109/FIT.2014.24
FIT
Keywords
Field
DocType
DC series motor, TS fuzzy model, LMI regulator, Parallel distributed compensation, MATLAB/Simulink
Regulator,Computer vision,Control theory,Torque,Operating point,Control theory,Computer science,Fuzzy logic,DC motor,Fuzzy set,Parametric statistics,Artificial intelligence
Conference
ISSN
ISBN
Citations 
2334-3141
978-1-4799-7504-4
0
PageRank 
References 
Authors
0.34
2
4
Name
Order
Citations
PageRank
Umar Farooq100.34
Jason Gu242174.77
Muhammad Asad32810.57
Ghulam Abbas400.34