Performance Analysis and Intelligent Power Controller Design of Soft Switched Half Bridge dc/dc Converter using Neural Networks
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10.5120/6985-9550 |
Mukhtiar Ahmed Mahar, Abdul Sattar Larik, Mohammad Rafiq and Mohammad Aslam Uqaili. Article: Performance Analysis and Intelligent Power Controller Design of Soft Switched Half Bridge dc/dc Converter using Neural Networks. International Journal of Computer Applications 46(15):21-27, May 2012. Full text available. BibTeX
@article{key:article,
author = {Mukhtiar Ahmed Mahar and Abdul Sattar Larik and Mohammad Rafiq and Mohammad Aslam Uqaili},
title = {Article: Performance Analysis and Intelligent Power Controller Design of Soft Switched Half Bridge dc/dc Converter using Neural Networks},
journal = {International Journal of Computer Applications},
year = {2012},
volume = {46},
number = {15},
pages = {21-27},
month = {May},
note = {Full text available}
}
Abstract
During the last few decades several new dc-dc converter topologies have been emerged. These topologies are variable structure systems and contain nonlinearities which lead to oscillations during operation. Various conventional control techniques have been investigated and analyzed in order to minimize oscillations during the operation of the converters, in particular, under non-linear situations. However, these techniques are fraught with many drawbacks. Recently, Neural Network Controllers (NNCs) are gaining popularity in modeling, identification and control power electronic converters. These controllers are advanced controllers and having fast dynamic behaviour and robustness. In this paper, neural network controller design of soft switched half bridge (SSHB) dc/dc converter is discussed in detail. The performance of half bridge converter with neural network controller is analyzed under steady state, transient region and dynamic region by considering the line voltage variation and duty ratio variation. The SSHB converter is implemented and simulated in MATLAB/Simulink. The simulated results are presented
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