Paper Info
Title
Fuzzy PID supervised online ANFIS based speed controller for brushless dc motor.
Abstract
In this paper, two different speed controllers i.e., fuzzy online gain tuned anti wind up Proportional Integral and Derivative (PID) controller and fuzzy PID supervised online ANFIS controller for the speed control of brushless dc motor have been proposed. The control system parameters such as rise time, settling time, peak time, recovery time, peak overshoot and undershoot of speed response of the brushless dc motor with the proposed controllers have been compared with already published controllers such as anti wind up PID controller, fuzzy PID controller, offline ANFIS controller, PID supervised online ANFIS controller and On-line Recursive least square—error back propagation algorithm based ANFIS controller. In order to validate the effectiveness of the proposed controllers, the brushless dc motor is operated under constant load condition, varying load conditions and varying set speed conditions. The simulation results under MATLAB environment have predicted better performance with fuzzy PID supervised online ANFIS controller under all operating conditions of the drive.
Year
DOI
Venue
2015
10.1016/j.neucom.2015.01.032
Neurocomputing
Keywords
Field
DocType
Brushless dc motor,PID controller,Anti wind up PID controller,Fuzzy PID controller,Offline ANFIS,Online ANFIS
Control theory,PID controller,Control theory,Fuzzy logic,DC motor,Adaptive neuro fuzzy inference system,Control system,Open-loop controller,Mathematics,Electronic speed control
Journal
Volume
ISSN
Citations 
157
0925-2312
8
PageRank 
References 
Authors
0.56
11
2
Name
Order
Citations
PageRank
K. Premkumar1202.01
B. V. Manikandan2252.93