Abstract
A controller of uncertain DC server motor is presented by using the fuzzy system with a real-time genetic algorithm. 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. © 2010 Springer-Verlag.
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Hsieh, W. M., Leu, Y. G., Yang, H. C., & Lin, J. Y. (2010). Tracking control of uncertain DC server motors using genetic fuzzy system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6145 LNCS, pp. 605–611). https://doi.org/10.1007/978-3-642-13495-1_74
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