eXplainable AI-based machine learning model for concrete compressive strength prediction

DC—DC converter plays prominent roles today in generating smooth switching of the electrical and electronic circuit switches. The ON-OFF switching of the gates of the converters is electronically triggered by generation of pulse width modulation (PWM) either through controllers such as conventional proportional-integral-derivative (PID) controller or fuzzy logic controller using suitable algorithms. In this study a DC/DC buck/boost converter has been used for regulation of output-voltage using fuzzy logic controller. With the appropriate fuzzy logic-based algorithms the required PWM and its duty cycle have been smoothly and successfully generated with the help of which the required output voltage of the converter circuit for both the buck and boost mode has been achieved. The scheme has the vast scope of implementing using DSP/PIC microcontroller future for the smooth turning ON-OFF with high switching frequency which will be suitable regulation of solar PV output voltage.