No/VOL: 09/2022 Page no. 36
Authors: Darmansyah Darmansyah , Imam Robandi :
Title: Intelligent Voltage Controller Based on Fuzzy Logic for DC-DC Boost Converter
Abstract: One of the photovoltaic (PV) applications is as a renewable energy source. The photovoltaic (PV) output voltage becomes the voltage source for the DC-DC boost converter. To adjust the DC-DC boost converters output voltage, the control system needs to adjust the output voltage of the DC-DC boost converter applied by the PV. The voltage generated by the DC-DC boost converter follows the needs of the electrical equipment or load. The control system on the DC-DC converter uses a Proportional Integral (PI) Controller and a Fuzzy Logic (FL). The PI controller and FLC can control the output voltage of the DC-DC converter. This PI controller is compared with FL to obtain the appropriate output voltage for the dc-dc boost converter. The output of this PI and FLC controller system is the duty cycle used to control the DC-DC boost converters performance. The PI controller system is tuned by autotuning and FL to obtain control parameters of a DC-DC boost converter with a 12 V PV voltage source and a 24 V output voltage. The results of the PI controller constants obtained are: kp = 1.8, ki = 0.9, maximum overshoot voltage (Mp) = 39 V (62.25%), rise time = 1.0 seconds, settling time = 5.0 seconds, transient state = 5.0 seconds, and steady-state error of 8.4%. The simulation results of the FL controller constants were obtained: 4.2% steady-state error and a settling time of 1.5 seconds, with a 4.2% steady-state error. The results of the control output voltage DC-DC boost converter fed by PV showed FL was better than the PI controller.
Key words: control parameters, DC-DC boost converter, proportional integral controller, fuzzy logic