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An artificial intelligence controller for three phase three level soft switched, phase shifted PWM(phase shift modulation) dc to dc converter is proposed for high voltage and high power applications. In which, it is analyzed that four switches in a leg where outer switch behaves as a zero voltage switching and inner switch behaves as a zero current switching. The performance is analyzed by simulation...
This paper demonstrates the Maximum Power Point Tracking (MPPT) controller that uses a DC/DC Boost converter with a Fuzzy Neural Network (FNN) system. It simplifies the topology of the DC/DC boost converter model to state equations, which is easy to simulate with Matlab. Additionally, the FNN system uses an integrated Fuzzy and Neural Network (NN), which advantages include uncertainty information...
The control of DC/DC converters, topologies widely used in the active reduction of harmonic distortion for nonlinear single-phase equipment of low power, presents great challenges of design, due to the complexity of the mathematical model and its highly nonlinear dynamic characteristic. Techniques of artificial intelligence such as neuronal networks, suppose great improvements in the design and the...
Different kinds of multi-module DC-DC converters have been introduced to obviate demands for different level of voltage and power in input and output. The suitable control scheme for this type of converter necessitates equal voltage sharing for series connected modules and equal current sharing for the parallel connected modules for all operating conditions even with existence of dissimilarity in...
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