Neural Network Control of Switch Mode Dc Dc Converter
Journal Title: International Journal of Modern Research In Engineering & Management. - Year 2019, Vol 2, Issue 3
Abstract
Power electronic converters are periodical variable structure system owing to their switching operations, being a simple in structure, lot of researchers are working on power electronic converters. As they have been found practically more efficient and cheapest. That’s why they are being used vastly. The Switch Mode DC DC Converters being a highly underdamped produces oscillations and nonlinearities in the output voltage. Lot of controlling techniques have been used to mitigate the oscillations but those controllers/ controlling techniques have certain drawbacks. In this research paper PI controller is being compared with Artificial Neural network controller based on Switch Mode DC DC converter at higher switching frequency under Steady state as well as dynamic state (line and load variations). Although Artificial Neural network controller is being used in problems involving nonlinearities and uncertainties but here it is used/applied to Step down chopper converter to control voltage under steady state as well as dynamic state. Here Neural Network is trained by using Levenberg Marquardt (trainlm) Algorithm. It is executed and operated in Matlab/Simulink, and Simulation results are shown here.
Authors and Affiliations
Anees U Rahman
Keywords
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- EP ID EP647392
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