Abstract
2 ABSTRACT: Artificial Neural Networks (ANN) is introduced by McCulloch and Pitts in 1943. It is an interconnected group of nodes. Neural networks models in artificial intelligences are usually referred to as artificial neural network. A novel unity power factor battery charger conception based on an Ultrasparse Matrix Rectifier (USMR) with Artificial Neural Network (ANN) is presented in this paper. Ultrasparse matrix converter topology can be derived from Indirect converter topology having a reduced number of input switches. The circuit has only three switching components and low-energy- conversion loss. This reduces the cost and enhances the system's efficiency for high voltage battery. Thus, the proposed ANN controller improves the line power quality and delivers admissible output power to the battery. The charging method chosen is the Constant Current (CC) or Constant Voltage (CV) method. The ANN control and space vector modulation algorithms are implemented with the Digital Signal Processor.
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