Performance Analysis for Vehicle Air Conditioning System with Direct Current Compressor in Non-Electric Vehicle Using Fuzzy Logic Controller

2016 ◽  
Vol 819 ◽  
pp. 226-230
Author(s):  
Afiq Aiman Dahlan ◽  
Amirah Haziqah Zulkifli ◽  
Henry Nasution ◽  
Azhar Abdul Aziz ◽  
Mohd Rozi Mohd Perang
Keyword(s):  
Fuzzy Logic ◽  
Performance Analysis ◽  
Fuel Consumption ◽  
Direct Current ◽  
Air Conditioning ◽  
Fuzzy Logic Controller ◽  
Data Acquisition System ◽  
Coefficient Of Performance ◽  
Air Conditioning System ◽  
Linguistic Rules

Reducing fuel consumption and ensure occupants thermal comfort are two important considerations when designing a vehicle air conditioning system. By using direct current electric compressor, speed of compressor can be controlled by changing the frequency of the inverter. Fuzzy logic controller (FLC) was developed to imitate the performance of human expert operators by encoding their knowledge in the form of linguistic rules. The system is installed to a 5-door compact car with 1.2cc four-cylinder engine with data acquisition system to monitor the temperature of the cabin, coefficient of performance (COP) and fuel consumption. Temperature set-point of 22°C with original belt-driven, on/off and FLC electric direct current compressor at one hour experimental periods. The experimental results indicate that the FLC can save more fuel compared to on/off controller and belt-driven compressor.

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

Design and Simulation of Automatic Room Temperature by Using Fuzzy Control

2017 ◽  
Vol 4 (1) ◽  
pp. 67-78
Author(s):  
Maung Kyaw Soe Moe
Keyword(s):  
Fuzzy Logic ◽  
Air Conditioning ◽  
Fuzzy Logic Controller ◽  
Energy Savings ◽  
Air Conditioning System ◽  
Efficient Operation ◽  
Conservation Of Energy ◽  
Conditioning Equipment ◽  
Comfort Parameters ◽  
Thesis Work

In air conditioning system, efficient operation of air conditioning equipment to suit the user demand is important and to achieve that, Fuzzy Logic controller can play a key role in formulating the next generation of control technology for the traditional air conditioning equipment. The target of this research is to develop a fuzzy logic control which will allow less usage of energy by optimum operation of air conditioning which would also promote Conservation of Energy. The control system in this study also would need to achieve a Stable Climate Condition in the room within the limits of control set points and promote convenient to the users by automatic control. The control strategy proposed in this thesis work is fuzzy logic controller (FLC). A MATLAB fuzzy program tool is used to develop a fuzzy logic controller to achieve within the comfort parameters of temperature and artificial lighting as well as energy savings. Simulink program in MATLAB will also be used to simulate the fuzzy logic in this Thesis work. Based on the findings observed on the case study described in this Thesis Report, the savings achieved by the Fuzzy Logic Air Conditioning System is about 66%.With these results, it can be concluded that the objective of this Thesis work has been full filled)

Fuzzy logic controller design for intelligent air-conditioning system

2016 ◽  
Author(s):  
Nizam Uddin Ahamed ◽  
Zahari Bin Taha ◽  
Ismail Bin Mohd Khairuddin ◽  
M.F. Rabbi ◽  
S.A.M. Matiur Rahaman ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Air Conditioning ◽  
Fuzzy Logic Controller ◽  
Controller Design ◽  
Air Conditioning System

Variable structure TITO fuzzy-logic controller implementation for a solar air-conditioning system

2008 ◽  
Vol 85 (4) ◽  
pp. 190-203 ◽  
Author(s):  
J.N. Lygouras ◽  
V.S. Kodogiannis ◽  
Th. Pachidis ◽  
K.N. Tarchanidis ◽  
C.S. Koukourlis
Keyword(s):  
Fuzzy Logic ◽  
Air Conditioning ◽  
Fuzzy Logic Controller ◽  
Variable Structure ◽  
Air Conditioning System

Performance analysis on an air-conditioning system installed with and without a fuzzy logic thermostat in an office building

2018 ◽  
Vol 232 (8) ◽  
pp. 1079-1092 ◽  
Author(s):  
YH Yau ◽  
CP Chang
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Performance Analysis ◽  
Fuzzy Logic Control ◽  
Air Conditioning ◽  
System Simulation ◽  
Simulation Tool ◽  
Air Conditioning System ◽  
Logic Control ◽  
Transient System

The current research presents the study of the proposed thermostat setting developed in the previous work through a numerical simulation project using transient system simulation tool. The transient system simulation tool code is used to integrate the fuzzy logic to optimise a room thermostat with the multi-zone building model (Type56a). A set of equations is designed in the transient system simulation tool project to represent the fuzzy logic control system of the proposed thermostat setting. The performance analysis for the air-conditioning system installed with and without the application of the control system in terms of the operative zone temperature, the sensible cooling demand, the solar radiation, and the internal gains for a thermal zone for recent years or 2000s, and for the years 2020, 2050 and 2080 were comprehensively examined. Estimations of both predicted mean vote and predicted percentage of dissatisfied persons of the zone were also investigated. The findings indicate that a considerable amount of sensible cooling demand of approximately 8420 kJ/h or equivalent to 3.54% can be saved with the application of the proposed thermostat setting. The predicted mean vote is in the range from −0.22 to 0.72 with its average between 0.20 and 0.26 for the AC system installed with fuzzy logic control. These results further suggest that the thermal comfort of occupants can be improved taking into account their activity level, clothing insulation, indoor air temperature, air velocity, mean radiant temperature and relative humidity.

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