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Neural network based control for synchronous generators

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6 Author(s)
E. Swidenbank ; Dept. of Electr. & Electron. Eng., Queen's Univ., Belfast, UK ; S. McLoone ; D. Flynn ; G. W. Irwin
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In this paper, a radial basis function neural network based AVR is proposed. A control strategy which generates local linear models from a global neural model on-line is used to derive controller feedback gains based on the generalised minimum variance technique. Testing is carried out on a micromachine system which enables evaluation of practical implementation of the scheme. Constraints imposed by gathering training data, computational load, and memory requirements for the training algorithm are addressed

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IEEE Transactions on Energy Conversion  (Volume:14 ,  Issue: 4 )