Small-Signal Model for the Series Resonant Converter

1985 ◽  
Vol AES-21 (3) ◽  
pp. 301-319 ◽  
Author(s):  
R. King ◽  
T. Stuart
2021 ◽  
Author(s):  
Jermaine Stern

The project verifies the performance of a control system designed for a Series Resonant Converter (SRC). A discrete small-signal model of an SRC was derived and used to design the control system. An accurate control system was designed in the frequency domain to eliminate the need for trail-and-error [sic] methods or other time domain methods. A PSPICE simulation of a regulated SRC circuit was used to test the control system. A prototype of the regulated SRC was developed to verify the simulated results. The tests performed demonstrated that the control system design provides a quick response. The tests determined that when a step input is applied to the reference input the control system adjusts the SRC's output voltage to the new reference input value. Also, the control system is able to regulate output load voltage in the presence of sudden load changes.


2021 ◽  
Author(s):  
Jermaine Stern

The project verifies the performance of a control system designed for a Series Resonant Converter (SRC). A discrete small-signal model of an SRC was derived and used to design the control system. An accurate control system was designed in the frequency domain to eliminate the need for trail-and-error [sic] methods or other time domain methods. A PSPICE simulation of a regulated SRC circuit was used to test the control system. A prototype of the regulated SRC was developed to verify the simulated results. The tests performed demonstrated that the control system design provides a quick response. The tests determined that when a step input is applied to the reference input the control system adjusts the SRC's output voltage to the new reference input value. Also, the control system is able to regulate output load voltage in the presence of sudden load changes.


2019 ◽  
Vol 28 (04) ◽  
pp. 1950063
Author(s):  
Jianguang Ma ◽  
Xueye Wei ◽  
Liang Hu ◽  
Junhong Zhang

This paper proposes a small-signal modeling method for building an LLC half-bridge resonant converter. In recent years, the LLC half-bridge resonant converter has attracted the attention of many researchers because of its high-power conversion efficiency and high-power density. Generally, the LLC half-bridge resonant converter consists of many passive components, including stray and parasitic elements, resulting in a high-order system. Because the fundamental harmonic approximation (FHA) method for an LLC resonant converter only considers the fundamental harmonic and neglects higher harmonics, it is not accurate and introduces large errors in a higher-order system. In this paper, according to the operation principle of the LLC half-bridge resonant converter, a small-signal model is established. Based on the small-signal model, the input-to-output and control-to-output transfer function is derived. The experimental result verified that the proposed model yields a high accuracy, thereby highlighting the usefulness and versatility of the proposed model over other existing models.


Author(s):  
Weijian Han ◽  
Ruiqing Ma ◽  
Qing Liu

Variable frequency and phase shift modulation can achieve zero-voltage switching (ZVS) of dual active bridge series resonant DC-DC converters(DABSRCs) over a wide operating range so as to effectively improving system efficiency and reliability. In order to study the dynamics of DABSRCs and provide the basis for the closed-loop compensator design, a continuous-time small-signal model is proposed. The generalized average modelling approach is adopted, in which the DC component of the output voltage and the fundamental component of the inductor current and resonant capacitor voltage are selected as the state variables, precisely describing impacts of the resonance on the system dynamics. On the above-mentioned basis, a closed-loop compensator is designed, which achieves the stable operation with the ZVS variable frequency and phase shift modulation. The analysis results are verified by the simulation and experimental results.


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