In Hardware-in-the-Loop (HIL) models, the integration step is usually in the range of hundreds of nanoseconds or even microseconds. Such steps would lead to an inadmissible error when reading the gate signals, so oversampling is mandatory except for low switching frequencies. Among different oversampling techniques, the integration oversampling method (IOM) is easy to implement without the necessity of reconstructing the HIL model. However, applying IOM directly to complementary gate signals can lead to short circuit situations. That is why the adaptation of the integration oversampling method (EIOM) is presented in this paper. In order to suppress undesired aliasing oscillations, EIOM provides only the input gate signals of the HIL model by breaking long periodic patterns of the input while avoiding undesired short-circuit in complementary switches. A synchronous Buck converter is taken as a case study to demonstrate the deterioration caused by sampling the PWM signals and the superiority of EIOM. Simulation results obtained by MATLAB are carried out, highlighting the improved accuracy of the model using EIOM in both continuous and discontinuous mode operations.

In Hardware-in-the-Loop (HIL) models, the integration step is usually in the range of hundreds of nanoseconds or even microseconds. Such steps would lead to an inadmissible error when reading the gate signals, so oversampling is mandatory except for low switching frequencies. Among different oversampling techniques, the integration oversampling method (IOM) is easy to implement without the necessity of reconstructing the HIL model. However, applying IOM directly to complementary gate signals can lead to short circuit situations. That is why the adaptation of the integration oversampling method (EIOM) is presented in this paper. In order to suppress undesired aliasing oscillations, EIOM provides only the input gate signals of the HIL model by breaking long periodic patterns of the input while avoiding undesired short-circuit in complementary switches. A synchronous Buck converter is taken as a case study to demonstrate the deterioration caused by sampling the PWM signals and the superiority of EIOM. Simulation results obtained by MATLAB are carried out, highlighting the improved accuracy of the model using EIOM in both continuous and discontinuous mode operations.