Fuzzy–Neural Sliding-Mode Control for DC–DC Converters Using Asymmetric Gaussian Membership Functions

@article{Cheng2007FuzzyNeuralSC,
  title={Fuzzy–Neural Sliding-Mode Control for DC–DC Converters Using Asymmetric Gaussian Membership Functions},
  author={Kuo-Hsiang Cheng and Chun-Fei Hsu and Chih-Min Lin and Tsu-Tian Lee and Chunshien Li},
  journal={IEEE Transactions on Industrial Electronics},
  year={2007},
  volume={54},
  pages={1528-1536}
}
A fuzzy-neural sliding-mode (FNSM) control system is developed to control power electronic converters. The FNSM control system comprises a neural controller and a compensation controller. In the neural controller, an asymmetric fuzzy neural network is utilized to mimic an ideal controller. The compensation controller is designed to compensate for the approximation error between the neural controller and the ideal controller. An online training methodology is developed in the Lyapunov sense… CONTINUE READING
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