Recurrent-Fuzzy-Neural-Network-Controlled Linear Induction Motor Servo Drive Using Genetic Algorithms

@article{Lin2007RecurrentFuzzyNeuralNetworkControlledL,
  title={Recurrent-Fuzzy-Neural-Network-Controlled Linear Induction Motor Servo Drive Using Genetic Algorithms},
  author={Faa-Jeng Lin and Po-Kai Huang and Wen-Der Chou},
  journal={IEEE Transactions on Industrial Electronics},
  year={2007},
  volume={54},
  pages={1449-1461}
}
A recurrent fuzzy neural network (RFNN) controller based on real-time genetic algorithms (GAs) is developed for a linear induction motor (LIM) servo drive in this paper. First, the dynamic model of an indirect field-oriented LIM servo drive is derived. Then, an online training RFNN with a backpropagation algorithm is introduced as the tracking controller. Moreover, to guarantee the global convergence of tracking error, a real-time GA is developed to search the optimal learning rates of the RFNN… CONTINUE READING
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