• Vignesh P
• Dr. R. Suja Mani Malar

This paper reports the design, simulation and hardware validation of a quadratic boost converter (QBC) intended for a solar photovoltaic (PV) based off-board electric vehicle (EV) charger. The converter's two-inductor, two-capacitor topology gives a quadratic voltage-gain characteristic, 1/(1−D)², which reaches high step-up ratios at a moderate duty ratio without the excessive switching stress a conventional boost converter would need at the same gain. Closed-loop output-voltage regulation is implemented with a discrete PI controller running on a dsPIC30F2010 digital signal controller, and rather than tuning the proportional and integral gains by manual trial and error, a Genetic Algorithm (GA) is used to search for the gain pair that minimises an ITAE-based tracking-error fitness function. An averaged state-space model of the converter is derived and linearised to obtain the small-signal control-to-output transfer function, which is used both to guide the tuning search and to explain the closed-loop dynamics observed afterwards. In simulation, the GA-tuned controller (Kp = 0.0104, Ki = 1.896) settles to within 2% of a 48 V reference in 30.6 ms with 1.3% overshoot, against a conservatively tuned baseline that remains 34.8 V from the same reference over the same interval. A hardware prototype built around the dsPIC30F2010, a TLP250 opto-isolated gate driver and an IRF840 MOSFET confirms regulated step-up from a solar PV input near 12.2 V to an output near 38.4 V, with the gap to the idealised simulation target attributed to component non-idealities not captured in the averaged model. The results indicate that GA-based tuning is a practical, repeatable alternative to manual PI tuning for this class of converter.

: Quadratic Boost Converter, Genetic Algorithm, PI Controller, Solar Photovoltaic, Electric Vehicle Charging, Small-Signal Analysis

"GENETIC ALGORITHM OPTIMIZED PI CONTROL OF A QUADRATIC BOOST CONVERTER FOR SOLAR PV BASED ELECTRIC VEHICLE CHARGING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 9, page no.a471-a479, September-2026, Available :http://www.jetir.org/papers/JETIR2609057.pdf

"GENETIC ALGORITHM OPTIMIZED PI CONTROL OF A QUADRATIC BOOST CONVERTER FOR SOLAR PV BASED ELECTRIC VEHICLE CHARGING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 9, page no. ppa471-a479, September-2026, Available at : http://www.jetir.org/papers/JETIR2609057.pdf