Pulse width modulated (PWM) converters are suffering from poor efficiency due to high switching losses. quasiresonant converters with the help of resonance phenomenon can come to the rescue of PWM converters. There are certain problems even with the quasiresonant converters. Problems with quasiresonant converters such as parasitic oscillations and high voltage stress can be resolved with the help of multiresonant converters. Appropriate modeling technique is needed to accurately represent the physical system. The multiresonant converters along with electrical systems are involved in magnetic and thermal systems. For this kind of systems, the appropriate modeling is bond graph. In this piece of work, buck ZVS multiresonant converter is taken to model using bond graphs. The large signal bond graph model is created. In MATLAB/SIMULINK for state variables the created bond graph model is simulated. The findings obtained are checked with PSIM simulated results and experimental results. The comparison of model and experimental results prove the model's accuracy.
The research in power supply design is moving towards improving efficiency by reducing losses. Another aspect of research in power converters is its modeling as it involves multiple domains such as electrical, mechanical, magnetic...etc. bond graph modeling is suitable for the multi domain systems. Here, a zero voltage switching boost converter is designed using its bond graph model. The bond graph simulated results which are done in MATLAB/SIMULINK are matched with the experimental results. The efficiency of the ZVS boost converter is calculated and is compared with the efficiency of conventional pulse width modulated (PWM) boost converter.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.