Design of MPPT Based Fuzzy Logic for Solar-Powered Unmanned Aerial Vehicle Application

Suryoatmojo, Heri; Mardiyanto, Ronny; Riawan, Dedet Candra; Setijadi, Eko; Anam, Sjamsjul; Azmi, F. A.; Putra, Yandrika

doi:10.1109/iceast.2018.8434430

Cited by 13 publications

(7 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…3. In commend to get a demand power, the PV array is connected in shunt and connected series, which unitized the form of the module a PV array [11]. Current proved is suitable to the PV energy, photons that on the PV cell (𝑰𝑷𝒉).…”

Section: Current Photovoltaic and Voltage Photovoltaic Curvesmentioning

confidence: 99%

Fuzzy Logic Control to Process Change Irradiation and Temperature in the Solar Cell by Controlling for Maximum Power Point

Hashem

Ahmed

Rhaif

2023

jeasd

View full text Add to dashboard Cite

This paper presents intelligent control methods to get the maximum power point (MPPT) to be a photovoltaic system that operates with high efficiency when weather conditions change as well as fluctuations in temperatures resulting from sunlight. The proposed method of controlling by fuzzy control techniques is applied with a Direct current to Direct current (DC-DC) converter device. The important steps of the control unit for integrated design. The photovoltaic system, which was designed by Matlab / Simulink, was implemented with simulations of autonomous water pumping techniques. Comparison of results with simulations without MPPT control. We have noticed that the system in the case of using the MPPT that was used in the fuzzy logic unit gave high efficiency for the energy production from the solar cell the crucial control unit steps for integrated design. Simulated autonomous water pumping methods were used to implement the Matlab/Simulink-designed photovoltaic system. Results comparison with simulations lacking MPPT control. We have observed that the system provided great efficiency for the energy generation from the solar cell in the event of using the MPPT that was used in the fuzzy logic unit.

show abstract

Section: Current Photovoltaic and Voltage Photovoltaic Curvesmentioning

confidence: 99%

Fuzzy Logic Control to Process Change Irradiation and Temperature in the Solar Cell by Controlling for Maximum Power Point

Hashem

Ahmed

Rhaif

2023

jeasd

View full text Add to dashboard Cite

show abstract

“…Current flowing through the diode ID determines the output current from the solar cell, and current flows to the internal resistance 𝐼 𝑠ℎ [2]. The equation then becomes:…”

Section: Modeling the Pv Cellmentioning

confidence: 99%

“…One of the most important players in the battle against the energy crisis is solar energy. As shown in Figure 1, photovoltaic (PV) arrays are a low dc source voltage that requires a high step-up DC-DC converter to transform to a higher voltage level before connecting to a grid-connected inverter [2], [3]. However, a higher switching duty cycles is needed to achieve the high voltage gain, which decreases efficiency and causes inductor saturation.…”

Section: Introductionmentioning

confidence: 99%

Analysis of switched impedance source/quasi-impedance source DC-DC converters for photovoltaic system

Sreenu

Upendar

Sirisha

2022

IJAPE

View full text Add to dashboard Cite

This paper proposes the switched impedance source converter (SZSC) or switched quasi impedance source DC-DC converter (S-qZSC) based photovoltaic (PV) grid-connected systems. To increase the voltage from low level to high level, all PV grid-connected systems need step-up DC-DC converters. This step-up factor can be increased by connecting the terminals of a traditional quasi impedance source DC-DC converter with an additional diode and a switch. In this proposed converter, the capacitor not only serves as a filter. It is, however, bound in series to the charging loops of the inductors. On the one hand, saturated inductors can trigger instability, which can be avoided. When used for dc-ac conversion, however, the modulation index of the backend H-bridge can be set to a wider range. As compared to existing Z-source-based systems, a shorter duty period results in a higher boost factor.

show abstract

“…FLC translates HC algorithm into fuzzy rules [22]. It has been proven to provide higher power efficiency when there is irradiance change and load current compared with HC algorithm [23].…”

Section: A Flcmentioning

confidence: 99%

Artificial Intelligence Based MPPT Techniques for Solar Power System: A review

Yap

Sarimuthu

Lim

2020

Journal of Modern Power Systems and Clean Energy

179

View full text Add to dashboard Cite

In the last decade, artificial intelligence (AI) techniques have been extensively used for maximum power point tracking (MPPT) in the solar power system. This is because conventional MPPT techniques are incapable of tracking the global maximum power point (GMPP) under partial shading condition (PSC). The output curve of the power versus voltage for a solar panel has only one GMPP and multiple local maximum power points (MPPs). The integration of AI in MPPT is crucial to guarantee the tracking of GMPP while increasing the overall efficiency and performance of MPPT. The selection of AI-based MPPT techniques is complicated because each technique has its own merits and demerits. In general, all of the AI-based MPPT techniques exhibit fast convergence speed, less steady-state oscillation and high efficiency, compared with the conventional MPPT techniques. However, the AI-based MPPT techniques are computationally intensive and costly to realize. Overall, the hybrid MPPT is favorable in terms of the balance between performance and complexity, and it combines the advantages of conventional and AI-based MPPT techniques. In this paper, a detailed comparison of classification and performance between 6 major AI-based MPPT techniques have been made based on the review and MATLAB/Simulink simulation results. The merits, open issues and technical implementations of AI-based MPPT techniques are evaluated. We intend to provide new insights into the choice of optimal AI-based MPPT techniques. Index Terms-Maximum power point tracking (MPPT), artificial intelligence (AI), fuzzy logic control (FLC), artificial neural network (ANN), genetic algorithm (GA), swarm intelligence (SI), machine learning (ML).

show abstract

Design of MPPT Based Fuzzy Logic for Solar-Powered Unmanned Aerial Vehicle Application

Cited by 13 publications

References 3 publications

Fuzzy Logic Control to Process Change Irradiation and Temperature in the Solar Cell by Controlling for Maximum Power Point

Fuzzy Logic Control to Process Change Irradiation and Temperature in the Solar Cell by Controlling for Maximum Power Point

Analysis of switched impedance source/quasi-impedance source DC-DC converters for photovoltaic system

Artificial Intelligence Based MPPT Techniques for Solar Power System: A review

Contact Info

Product

Resources

About