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Artificial Intelligence Approaches to Advance Signal Processing and Simulation Methods for Efficient Power Supplies

DOI: 10.5923/j.eee.20120204.07

Keywords: Adaptive Prony Method (APM), Discrete Fourier Transform (DFT), Time-Frequency Distributions (Tfds), Transform Domain Adaptive Filters (TDAF), Wavelet Packet Transforms (WPT), Power Factor Correction (PFC), Fast Fourier Transform (FFT)

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Abstract:

This paper gives a different signal processing techniques, which are widely used for improving efficiency of power supplies. There are several numbers of power quality problems in power supplies, such as voltage sag, high harmonic currents, voltage swells, power-quality disturbances, a wide spectrum of harmonic components etc. This paper suggests different artificial intelligence approaches to advance signal processing techniques for improving the power quality. Today electronics systems are often composed of mixed analog and digital components. In order to simulate the entire system, many types of software should work together and co-simulation is necessary for power drivers. In this paper, the modeling of a power supply system using matlab/simulink, VHDL, FPGA module for PWM generator is presented. The power supplies are consisting of different power converters which are modeled and simulated in simulink environment. This design approach presents all the advantages of software and features.

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