Recurrent Functional-Link-Based Fuzzy-Neural-Network-Controlled Induction-Generator System Using Improved Particle Swarm Optimization

@article{Lin2009RecurrentFF,
  title={Recurrent Functional-Link-Based Fuzzy-Neural-Network-Controlled Induction-Generator System Using Improved Particle Swarm Optimization},
  author={Faa-Jeng Lin and Li-Tao Teng and Jeng-Wen Lin and Syuan-Yi Chen},
  journal={IEEE Transactions on Industrial Electronics},
  year={2009},
  volume={56},
  pages={1557-1577}
}
A recurrent functional-link (FL)-based fuzzy-neural-network (FNN) controller with improved particle swarm optimization (IPSO) is proposed in this paper to control a three-phase induction-generator (IG) system for stand-alone power application. First, an indirect field-oriented mechanism is implemented for the control of the IG. Then, an AC/DC power converter and a DC/AC power inverter are developed to convert the electric power generated by a three-phase IG from variable frequency and variable… CONTINUE READING
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