The Voltage Control for PMSM Direct-Driven PMSG/Battery Renewable Energy System Using Modified Elman Neural Network


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Abstract


The modified Elman neural network (NN) controller to be used for the voltage control of the permanent magnet (PM) synchronous generator/battery renewable energy system is proposed to improve control performance of voltage adjustment. Because the PM synchronous generator/battery renewable energy system is a nonlinear time-varying system, three sets on-line trained modified Elman NN controllers are developed for the voltage tracking controllers of DC bus voltage of rectifier, AC voltage of inverter and DC voltage of battery storage system through boost/buck converter in order to improve output performance. Finally, experimental results are verified to show the effectiveness of the proposed control scheme
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Keywords


Permanent Magnet Synchronous Generator; Rectifier; Inverter; Elman Neural Network; Battery Renewable Energy System

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