A General Itegression Neural Network (GRNN)is used to simulate the speed control of a brushless D C motor. The GRNN offers advantages over conventional controllers in terms of adaptability, robustness to parameter variation, and simplicity. Because of its capability to learn quickly, the GRNN is particularly suited to on-line learning of changing plant conditions.
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