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This paper presents the design and implementation of PWM boost converter using an 8-bit microcontroller that can be employed to achieve maximum power point tracking (MPPT) in photovoltaic systems (PV). In this paper, the used microcontroller is Arduino Uno that is based on microcontroller Atmega 328. Furthermore, the used PWM is governed using a Fast PWM Mode that is able to run at high frequency...
This paper presents a hybrid MPPT composed of two methods: incremental conductance (INC) and Fuzzy Logic (FL) control. This method is able to track maximum power point (MPP) under variable solar irradiance. In addition to that, it generates a modulation signal to adjust the duty cycle of boost converter to ensure fast MPPT process. In order to validate both of the effectiveness and the usefulness...
This paper presents Neural Network (NN) based A Two-Phase Interleaved Boost Converter (IBC) for Photovoltaic (PV) system. As known that this converter is the development of boost converter. In addition, it also functions to reduce output ripple current as well as to increase the output voltage of converter. This converter is driven by Pulse Width Modulation (PWM) which is governed by using controller...
In this paper, A two-phase interleaved boost converter (IBC), which is based on Adaptive Neuro-Fuzzy Inference System (ANFIS) for photovoltaic (PV) system is proposed. The proposed system has two inputs and 1 output. Two inputs of the proposed system consist of solar irradiation and temperature. Meanwhile, the output of the proposed system is aduty cycle. The duty cycle is used to generate Pulsed...
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