Research of Speed Observer Based on Neural Network Optimized by Fast Modified ACO in DTCs

Abstract

To enhance its global optimization speed, the basic ant colony optimization (ACO) is modified, then it is used to optimize the neural networks (NN), and the optimized NN is applied to the direct torque control (DTC) system, so that the rotate speed can be observed. The DTC with speed sensorless is implemented at last. The research of simulation shows that… (More)

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Cite this paper

@article{Cao2008ResearchOS, title={Research of Speed Observer Based on Neural Network Optimized by Fast Modified ACO in DTCs}, author={Chengzhi Cao and Lichao Jia and Hongli San and Ying You}, journal={2008 Second International Symposium on Intelligent Information Technology Application}, year={2008}, volume={1}, pages={18-22} }