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A novel method is proposed for designing Neural Network Controllers (NNC) for switch mode systems. The method applies a new concept: "The Ideal Controller" which is run 'off-line' to generate a record of 'perfect' control signals in response to input and output perturbations. The record is then used as an 'off-line' training set for a Neural Network controller. The advantages of the proposed method are three fold: (a) the training set is the best possible, (b) training is done 'off line' by simulation and (c) there is no need to derive or guess the control law. The present study demonstrates by simulation the potential excellent performance of a NNC for DC-DC Switch-Mode converters when trained by the proposed methodology. The proposed methodology can be readily expanded to other Switch-Mode systems such as inverters and power factor conditioners.
목차
ABSTRACT
1.INTRODUCTION
2.THE“IDEAL CONTROLLER“
3.IDEAL CONTROLLER TRAINING DATA SET
4.APPLICATION TO POWER CONVERTERS
5.SIMULATION RESULTS
6.SUMMARY AND CONCLUSIONS
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2009-560-014233836