Fuzzy Controller Design using FPGA for Sun Tracking in Solar Array System

Hamed, Basil; El-Moghany, Mohammed S.

doi:10.5815/ijisa.2012.01.06

Cited by 14 publications

(7 citation statements)

References 8 publications

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“…Whereas, Ammar et al who have designed a DAST system based on NF Controller and obtained an efficiency of 50.6%, the implementation of such a system is not easy due to the use of complex algorithms that requiring an expensive controller (as FPGA), making the system more expensive. Moreover, we used servo motors for the motorization of the PV panel instead of stepper motors or DC motors as in that need an interface circuit to control the speed and the position, which increases the materials and the consumption of the energy. In contrast, the direction of rotation and speed of servo motor is controlled using a single wire connected directly to an output of the microcontroller.…”

Section: Resultsmentioning

confidence: 99%

“…Moreover, new methods for solar tracking have recently been introduced, using Artificial Intelligence (AI) such as fuzzy logic (FL), neural networks (NN), and neuro‐fuzzy (NF) . For instance, Hamed in designed and implemented a solar tracker system based on an FL controller. This system can collect about 24% more energy than a fixed panel.…”

Section: Introductionmentioning

confidence: 99%

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A simple and low‐cost active dual‐axis solar tracker

Hammoumi

Motahhir

Ghzizal

et al. 2018

Energy Science & Engineering

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This paper presents the design and practical implementation of a simple active dual‐axis solar tracker (DAST) to track the sun's movement by using fewer components and low‐cost as well. A dual‐axis mechanism is developed in order to tilt the PV panel by two servo motors facing the highest intensity of sunlight captured by LDR sensors, which are placed in the four corners of PV panel. The DAST prototype was constructed practically and tested using a real‐time virtual instrument based on Excel to determine its efficiency. Moreover, a comparison based on experimental results between the energy produced by the proposed smart DAST and a fixed panel shows that the smart DAST produces 36.26% more energy compared to the fixed panel. The proposed active DAST can be easily implemented without possessing deep knowledge about solar tracking technologies and electronic engineering.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A simple and low‐cost active dual‐axis solar tracker

Hammoumi

Motahhir

Ghzizal

et al. 2018

Energy Science & Engineering

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“…Heating and the production of wind power are typical examples of this type of applications. When dealing with such applications, other types of control systems like fuzzy logic, fuzzy-PID controllers, neural networks, or a combination of them are more suitable because they can handle nonlinear models more effectively [ 16 – 22 ].…”

Section: Yaw Controlmentioning

confidence: 99%

Fuzzy Regulator Design for Wind Turbine Yaw Control

Theodoropoulos

Kandris

Σαμαράκου

et al. 2014

The Scientific World Journal

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This paper proposes the development of an advanced fuzzy logic controller which aims to perform intelligent automatic control of the yaw movement of wind turbines. The specific fuzzy controller takes into account both the wind velocity and the acceptable yaw error correlation in order to achieve maximum performance efficacy. In this way, the proposed yaw control system is remarkably adaptive to the existing conditions. In this way, the wind turbine is enabled to retain its power output close to its nominal value and at the same time preserve its yaw system from pointless movement. Thorough simulation tests evaluate the proposed system effectiveness.

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“…Fuzzy techniques give better and more reliable control and improve energy conversion efficiency for this application. In [4], the authors developed a small power photovoltaic control system based on fuzzy control with FPGA technology design and implementation for MPPT. The system composed of photovoltaic module, buck converter and the fuzzy logic controller implemented on FPGA for controlling on/off time of MOSFET switch of a buck converter.…”

Section: Introductionmentioning

confidence: 99%

A Real Time Data Monitoring System for Two-Degree of Freedom of Microcontroller based Solar Tracking System

2018

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The dual axis solar tracker was designed for optimum solar cell implementation using dc-dc boost converter which controlled by fuzzy logic controller with the maximum power point tracking (MPPT) method. The objectives of this project are to track and optimize the maximum output power of the solar panel by designing and implementing the fuzzy logic controller using microcontroller as well as to regulate the output voltage of the solar panel using dc-dc boost converter. The photocell panel will detect the existing of sun and the surface plate of photocell panel will move horizontal and vertical axis depending on the value of LDR detected to follow the angular degree of sun in order to get maximum and best result of absorbing energy. The result obtained from the Arduino coding is the variation of duty cycle of PWM signal according to the voltage of solar panel. The final result obtained from dc-dc boost converter showed that the output voltage has been regulated. Data Acquisition System is done by using Arduino voltage sensor and current sensor to collect data for each second with the real time data graph. Overall, the designed system increases the efficiency of the solar panel based on experimental results.

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Fuzzy Controller Design using FPGA for Sun Tracking in Solar Array System

Cited by 14 publications

References 8 publications

A simple and low‐cost active dual‐axis solar tracker

A simple and low‐cost active dual‐axis solar tracker

Fuzzy Regulator Design for Wind Turbine Yaw Control

A Real Time Data Monitoring System for Two-Degree of Freedom of Microcontroller based Solar Tracking System

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