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Faults owing to nonlinear phenomena concerned with bifurcations in PWM energy converter (PEC) dynamics lead to one of the hardest negative consequences since it suppose the loss of operating process stability and crucial changes in the dynamics. From the practical viewpoint the preferable way out of this problem seems to be in early fault detection based on real-time data analysis while PEC operation...
Combination of search and analytical methods of the adaptive control in relation to PWM converters is considered in the paper. With this purpose it is proposed to use both real-time nonlinear dynamics forecasting and preliminary approximate expressions. Time series represents the main material for preliminary and current processing based on analysis of the regularities of nonlinear dynamics in the...
The occurrence of nonlinear phenomena in DC–DC power converters makes their analysis and control difficult. We propose a converter model that takes into account the internal resistances of the converter elements. A fuzzy logic controller is then used to shift the nonlinear phenomena outside the operating domain, and to ensure current regulation over a wide range of parameters. To validate the achieved...
DC-DC power converters are characterized by cyclic switching of circuit topologies, which gives rise to a variety of nonlinear behaviors. This makes the system analysis and its behavior prediction difficult. So, a fuzzy logic approach is used in this paper to suppress theses nonlinear phenomena and to uphold the regulation performance in a wide range of the system parameters variation
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