Design and Development of a Solar Based Air Conditioning Blower System for Vehicle

2015 ◽  
Vol 1115 ◽  
pp. 446-449
Author(s):  
Muhammad Amirul Abdullah ◽  
Salmiah Ahmad ◽  
Siti Fauziah Toha
Keyword(s):  
Fuzzy Logic ◽  
Air Conditioning ◽  
Fuzzy Logic Controller ◽  
Solar Panel ◽  
Percentage Error ◽  
Lead Acid Battery ◽  
Intelligent Controller ◽  
Vehicle Cabin ◽  
Cabin Temperature ◽  
Project Objectives

A solar based air conditioning blower model of vehicle has been presented together with the development of its intelligent controller in this report. The model is dependent on its own battery that is recharged by the energy collected from solar panel system. An automatic variable speed blower is introduced into the system. Vehicle cabin temperature is controlled by varying the blower speed. The intelligent controller is embedded with fuzzy logic strategy. A control algorithm is obtained with a design of the model and the system. The results satisfied the project objectives. The system is able to run using a lead acid battery and a solar panel with power consumption of 98.4 W. The fuzzy logic controller performed well with a percentage error less than 1.64%.

scholarly journals An intelligent lead-acid battery closed-loop charger using a combined fuzzy controller for PV applications

2021 ◽  
Vol 297 ◽  
pp. 01033
Author(s):  
Iliass Rkik ◽  
Mohamed El khayat ◽  
Hafsa Hamidane ◽  
Abdelali Ed-Dahhak ◽  
Mohammed Guerbaoui ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Control Unit ◽  
Buck Converter ◽  
Lead Acid Battery ◽  
Charging System ◽  
Pv Array ◽  
Full Power ◽  
Lead Acid

This paper presents the modeling of an intelligent combined MPPT and Lead-Acid battery charger controller for standalone solar photovoltaic systems. It involves the control of a DC/DC buck converter through a control unit, which contains two cascaded fuzzy logic controllers (FLC), that adjusts the required duty cycle of the converter according to the state of charge and the three stage lead acid battery charging system. The first fuzzy logic controller (FLC1) consists of an MPPT controller to extract the maximum power produced by the PV array, while the second fuzzy controller (FLC2) is aimed to control the voltage across the battery to ensure the three stage charging approach. This solution of employing two distinct cascaded fuzzy controllers surmounts the drawbacks of the classical chargers in which the voltage provided to the lead acid battery is not constant owing to the effects of the MPPT control which can automatically damage the battery. Thus, the suggested control strategy has the benefit of extracting the full power against the PV array, avoiding battery damage incurred by variable MPPT voltage and increasing the battery’s lifespan.

Optimum Solar Panel Implementation Using DC-DC Boost Converter Controlled by Fuzzy Logic Controller

2015 ◽  
Vol 793 ◽  
pp. 378-382 ◽  
Author(s):  
Nurul Afiqah Zainal ◽  
Sasikala A.P. Ganaisan ◽  
Ajisman
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Voltage Divider ◽  
Boost Converter ◽  
Solar Panel ◽  
Maximum Power ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Arduino Uno ◽  
Power Point

This paper proposes the implementation of a simple fuzzy logic controller (FLC) for a DC-DC boost converter based on a microcontroller to obtain maximum power from the solar system with the maximum power point tracking (MPPT) method. The system includes a solar panel, DC-DC boost converter, the fuzzy logic controller implemented on Arduino Uno for controlling on/off time of MOSFET of the boost converter, voltage divider and optocoupler circuit. This paper presents a fuzzy logic real time code in the Arduino language for ATmega328 microcontroller on the Arduino UNO board. The designed system increases the efficiency of the solar panel based on experimental results.

Fuzzy logic controller implementation for a solar air-conditioning system

2007 ◽  
Vol 84 (12) ◽  
pp. 1305-1318 ◽  
Author(s):  
J.N. Lygouras ◽  
P.N. Botsaris ◽  
J. Vourvoulakis ◽  
V. Kodogiannis
Keyword(s):  
Fuzzy Logic ◽  
Air Conditioning ◽  
Fuzzy Logic Controller ◽  
Air Conditioning System

Fuzzy Vibration Control of Flexible Solar Panel Using Piezoelectric Stack

2011 ◽  
Vol 50-51 ◽  
pp. 214-218 ◽  
Author(s):  
Rui Xu ◽  
Dong Xu Li ◽  
Jian Ping Jiang
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Bending Moment ◽  
Finite Element Method Simulation ◽  
Positive Control ◽  
Smart Structure ◽  
Solar Panel ◽  
The Finite Element Method ◽  
Dynamical Equations ◽  
Logic Control

To effectively suppress vibrations of the flexible solar panel, the fuzzy logic control with piezoelectric smart structure is studied. The bending moment induced in the solar panel by the PZT stack actuator is formulated. The dynamical equations of the solar panel are derived. A fuzzy logic controller which uses universal fuzzy sets is designed. Considered the characteristic of the PZT stack, only positive control voltages were loaded to it. The finite element method simulation results demonstrate that the fuzzy logic controller can suppress the vibrations of the flexible spacecraft solar panel effectively.

scholarly journals Structural Parameter Analysis of Mg Doped ZnO Nano Rods by Fuzzy Logic Controller

2021 ◽  
Vol 9 (2) ◽  
pp. 20
Author(s):  
Saher Manzoor ◽  
Maham Akhlaq ◽  
Nimra Tariq Butt ◽  
Muhammad Faisal Wasim
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Zno Nanorods ◽  
Parameter Analysis ◽  
Percentage Error ◽  
Structural Parameter ◽  
Potential Applications ◽  
Doped Zno ◽  
Logic System ◽  
Mg Doped

<p class="PARAGRAPH">ZnO nanorods have been extensively studied owing to their exceptional materials properties as well as outstanding performance in optics, electronics, and photonics. Lately, photocatalytic applications of ZnO nanorods are of greater interest in ecological defense applications. When magnesium is doped with ZnO, the properties of nanorods can be improved for several potential applications in diverse fields of science and technology. In this work, we have studied the effect of parameters like doping concentration and temperature for solution-based growth on the diameter and length of the nanorods grown on the glass substrate. Fuzzy logic controller has been used to calculate precise and accurate results as the fuzzy logic system is based on human-like reasoning. The analysis of the dependence of diameter and length of Mg doped ZnO nanorods on different input parameters is done by fuzzy simulations and the simulated results are then compared with the calculations done using Mamdani’s model. A percentage error that is almost negligible is calculated between the simulated and calculated values.  </p>

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