Akademik Veri Yönetim Sistemi
15th IEEE International Conference on Power Electronics and Drive Systems, PEDS 2025, Penang, Malezya, 21 - 24 Temmuz 2025, (Tam Metin Bildiri)
DC-DC boost converters are used in various industrial applications such as in photovoltaic (PV) voltage regulation, dc charging, dc motor speed control etc. Due to the uncertainty in a PV system, maintaining the output voltage constant at the desired level with an acceptable ripple and minimizing the ripple as much as possible are main design requirements. In this study, it is aimed at designing a proportional-integral-derivative (PID) controller for controlling the output voltage of the boost converter by using improved genetic operators such as selection, crossover, mutation and elitism. Since power generation using the PV system exhibits variable behavior, it is important to control the output voltage within a suitable time for system stability. Therefore, minimizing the steady-state error and overshoot of the output voltage are the two main objectives. To evaluate the performance of the designed PID controller, closed loop MATLAB/Simulink models of the boost converter were used, and these models were integrated into the real coded genetic algorithms (RCGA) software to find the PID gain coefficients that meet the design criteria of the converter. The simulation results showed that the proposed approach worked well to meet the design requirements and can be used for the design of realistic systems.