Paper Info
Title
Genetic fuzzy system for servo motors with a buck converter
Abstract
The paper proposes a fuzzy control method with a real-time genetic algorithm for an uncertain DC server motor with a Buck converter. The parameters of the fuzzy system are online adjusted by the real-time genetic algorithm in order to generate appropriate control input. For the purpose of on-line evaluating the stability of the closed-loop system, an energy fitness function derived from backstepping technique is involved in the genetic algorithm. According to the experimental results, the genetic fuzzy control scheme performs on-line tracking successfully.
Year
DOI
Venue
2011
10.1109/ICSMC.2011.6084018
SMC
Keywords
Field
DocType
fuzzy system,power convertors,uncertain systems,genetic fuzzy control scheme,servomotors,closed loop system stability,real-time genetic algorithm,online tracking,fuzzy systems,energy fitness function,genetic fuzzy system parameter,genetic algorithm,dc servo motor,fuzzy control method,genetic algorithms,fuzzy control,uncertain dc server motor,stability,servo motor,closed loop systems,buck converter,backstepping technique,control systems,genetics,adaptive systems,backstepping
Backstepping,Computer science,Adaptive system,Control theory,Fitness function,Fuzzy control system,Control system,Buck converter,Genetic algorithm,Servomotor
Conference
ISSN
ISBN
Citations 
1062-922X
978-1-4577-0652-3
0
PageRank 
References 
Authors
0.34
12
5
Name
Order
Citations
PageRank
Cheng-Lin Lee100.34
Yih-Guang Leu251533.76
Jheng-Yi Lin300.34
Hao-Cheng Yang400.68
Wei-Yen Wang599587.40