@inproceedings{7f008be3d67148daa5af58e22f18f6ce,
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.",
keywords = "DC servo motor, fuzzy system, genetic algorithm",
author = "Lee, {Cheng Lin} and Leu, {Yih Guang} and Lin, {Jheng Yi} and Yang, {Hao Cheng} and Wang, {Wei Yen}",
year = "2011",
doi = "10.1109/ICSMC.2011.6084018",
language = "English",
isbn = "9781457706523",
series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",
pages = "2285--2289",
booktitle = "2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011 - Conference Digest",
note = "2011 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2011 ; Conference date: 09-10-2011 Through 12-10-2011",
}