Modeling, Analysis, and Design of a Fuzzy Logic Controller for an AHU in the S.J. Carew Building at Memorial University

Proper functioning of heating, ventilation, and air conditioning (HVAC) systems is important for efficient thermal management, as well as operational costs. Most of these systems use nonlinear time variances to handle disturbances, along with controllers that try to balance rise times and stability. The latest generation of fuzzy logic controllers (FLC) is algorithm-based and is used to control indoor temperatures, CO2 concentrations in air handling units (AHUs), and fan speeds. These types of controllers work through the manipulation of dampers, fans, and valves to adjust flow rates of water and air. In this paper, modulating equal percentage globe valves, fans speed, and dampers position have been modeled according to exact flow rates of hot water and air into the building, and a new approach to adapting FLC through the modification of fuzzy rules surface is presented. The novel system is a redesign of an FLC using MATLAB/Simulink, with the results showing an enhancement in thermal comfort levels.

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Supervisor Fuzzy Logic Controller for HVAC System of S.J Carew Building at Memorial University

European Journal of Electrical Engineering and Computer Science ◽

10.24018/ejece.2019.3.4.92 ◽

2019 ◽

Vol 3 (4) ◽

Author(s):

Almahdi Abdo-Allah ◽

M Tariq Iqbal ◽

Kevin Pope

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Controller ◽

Hot Water ◽

Comfort Level ◽

Hvac System ◽

Comfort Levels ◽

Optimal Functioning ◽

Air Handling Units ◽

Novel Method ◽

Air Conditioning Systems

One of the most important characteristics contributing to the thermal management efficiency of commercial, industrial, institutional or home environments is the optimal functioning of HVAC (heating, ventilation, air conditioning) systems. In addition to using supervisor controllers for balancing comfort level in a building, the majority of today’s HVACs employ nonlinear time variance controllers when dealing with a variety of disturbances. This paper investigates both current and potential HVAC systems at Memorial University’s S. J. Carew building, St. John’s, Newfoundland. The study investigates the viability of algorithm-based supervisor fuzzy logic controllers (SFLC) for the control of the building’s four air-handling units (AHUs) used to manage the interior environment. Along with temperature, the SFLCs also control the AHUs’ fan speeds and CO2 concentrations modifying hot water and air flow rates. This work presents models of damper positions, fan speeds and globe valves that have been built in accordance with current rates of air and hot water flow in the S. J. Carew building. Based on these specifications, a novel method of SFLC adaptation using fuzzy rules has been devised. The novel system aims to better balance the performance level of the Carew building’s HVAC system on a floor-by-floor basis. The overall results indicate better overall thermal comfort levels and enhanced cost-effectiveness when using the SFLC redesign.

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Digital Image Processing for Detecting and Classifying Plant Diseases

Circulation in Computer Science ◽

10.22632/ccs-2017-252-66 ◽

2017 ◽

Vol 2 (11) ◽

pp. 1-7

Author(s):

Izay A. ◽

Onyejegbu L. N.

Keyword(s):

Image Processing ◽

Fuzzy Logic ◽

Programming Language ◽

Design Methodology ◽

Fuzzy Logic Controller ◽

Object Oriented ◽

Plant Diseases ◽

Analysis And Design ◽

Crop Diseases ◽

Growing Population

Agriculture is the backbone of human sustenance in this world. With growing population, there is need for increased productivity in agriculture to be able to meet the demands. Diseases can occur on any part of a plant, but in this paper only the symptoms in the fruits of a plant is considered using segmentation algorithm and edge/ sizing detectors. We also looked at image processing using fuzzy logic controller. The system was designed using object oriented analysis and design methodology. It was implemented using MySQL for the database, and PHP programming language. This system will be of great benefit to farmers and will encourage them in investing their resources since crop diseases can be detected and eliminated early.

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Mathematical modelling, analysis and design of fuzzy logic controller for the control of ventilation systems using MATLAB fuzzy logic toolbox

Journal of Interdisciplinary Mathematics ◽

10.1080/09720502.2020.1727611 ◽

2020 ◽

Vol 23 (4) ◽

pp. 843-849

Author(s):

Shubham Sharma ◽

Ahmed J. Obaid

Keyword(s):

Fuzzy Logic ◽

Mathematical Modelling ◽

Fuzzy Logic Controller ◽

Analysis And Design ◽

Control Of Ventilation ◽

Modelling Analysis ◽

Ventilation Systems

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Sustainable Economic Solution to Prevent the Wasted Cold Water in the Start of Shower Time Using Low Cost In-Line Electrical Heater with MISO Fuzzy Logic Controller

10.20944/preprints202104.0268.v1 ◽

2021 ◽

Author(s):

Muhammad M. A. S. Mahmoud

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Controller ◽

Greenhouse Gas Emission ◽

Cold Water ◽

Economic Benefits ◽

Hot Water ◽

Electric Heater ◽

Operating Voltage ◽

Control Input ◽

Wide Range

This paper discusses domestic problem of waiting hot water for the shower use till it reaches satisfactory temperature, which result a lot of wastage in fresh water. The outcome from research survey shows that there is no satisfactory solution till now as all solutions were either expensive or with no effective results. Local small inline electric heater equipped with fuzzy logic controller is proposed in this paper to be installed just before the showerhead to measure the water temperature and flow before the showerhead, as control input-variables, and decide the operating voltage of the heater, as control output-variable. Matlab Simulink is used to model the proposed system. Different test cases are simulated to prove the performance and the safe operation of the system. Techno-economic study is carried out to determine the “Direct Benefits” and “Indirect Benefits” that can be achieved if such system is implemented in wide range. Azerbaijan data is taken as an example to calculate the economic benefits. The results show important benefits not only for economy but also for climate and the reduction of greenhouse gas emission. Different economic indices are provided to be an easy reference for decision makers and project managers.

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Design of Fuzzy Logic Controller and its Distinctive Feature

Journal of Advanced Computational Intelligence and Intelligent Informatics ◽

10.20965/jaciii.2018.p0740 ◽

2018 ◽

Vol 22 (5) ◽

pp. 740-746

Author(s):

Takeshi Yamakawa ◽

Keyword(s):

Artificial Intelligence ◽

Neural Networks ◽

Fuzzy Logic ◽

Deep Learning ◽

Fuzzy Logic Control ◽

Fuzzy Logic Controller ◽

Linguistic Terms ◽

New Approach ◽

Distinctive Features ◽

Logic Control

Prof. Lotfi A. Zadeh, who created a new approach to describe a knowledge of a human expert with a natural language, passed away on September 6, 2017. His significant accomplishment was to create a novel artificial intelligence (AI) which exhibits the knowledge of human experts in natural linguistic terms. This system is structured and clear in two points of why a result is obtained and how it is done. The system contrasts with AI systems based on neural networks or deep learning. In this paper, the design of a fuzzy logic controller and its application to controlling of the mouse-platform stabilization are described. In addition, the distinctive features of fuzzy logic control are discussed. The author wants to offer this paper on the altar of Prof. Zadeh.

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Analysis and design of CMOS fuzzy logic controller in current mode

IEEE Journal of Solid-State Circuits ◽

10.1109/4.278355 ◽

1994 ◽

Vol 29 (3) ◽

pp. 317-322 ◽

Cited By ~ 46

Author(s):

L. Lemaitre ◽

M.J. Patyra ◽

D. Mlynek

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Controller ◽

Current Mode ◽

Analysis And Design

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Sustainable Economic Solution to Prevent the Wasted Cold Water in the Start of Shower Time Using Low Cost In-Line Electrical Heater with MISO Fuzzy Logic Controller

Water ◽

10.3390/w13111552 ◽

2021 ◽

Vol 13 (11) ◽

pp. 1552

Author(s):

Muhammad M. A. S. Mahmoud

Keyword(s):

Fuzzy Logic ◽

Fresh Water ◽

Fuzzy Logic Controller ◽

Greenhouse Gas Emission ◽

Economic Benefits ◽

Hot Water ◽

Electric Heater ◽

Operating Voltage ◽

Control Input ◽

Wide Range

This paper discusses domestic problem of waiting hot water for the shower use till it reaches satisfactory temperature, which result a lot of wastage in fresh water. The outcome from research survey shows that there is no satisfactory solution till now as all solutions were either expensive or with no effective results. Local small inline electric heater equipped with fuzzy logic controller is proposed in this paper to be installed just before the showerhead to measure the water temperature and flow before the showerhead, as control input-variables, and decide the operating voltage of the heater, as control output-variable. Matlab Simulink is used to model the proposed system. Different test cases are simulated to prove the performance and the safe operation of the system. Techno-economic study is carried out to determine the “Direct Benefits” and “Indirect Benefits” that can be achieved if such system is implemented in wide range. Azerbaijan data is taken as an example to calculate the economic benefits. The results show important benefits not only for economy, that can increase fresh water sales opportunity to 545,088,171.52 $, but also for climate and the reduction of greenhouse gas emission. Different economic indices are provided to be an easy reference for decision makers and project managers.

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Optimization of Perturb and Observe Based Fuzzy Logic MPPT Controller for Independent PV Solar System

WSEAS TRANSACTIONS ON SYSTEMS ◽

10.37394/23202.2020.19.21 ◽

2020 ◽

Vol 19 ◽

Keyword(s):

Fuzzy Logic ◽

Steady State ◽

Solar System ◽

Fuzzy Logic Controller ◽

Hill Climbing ◽

The Novel ◽

Search Technique ◽

Climate Conditions ◽

Perturb And Observe ◽

Mppt Controller

In this paper, a novel intelligent Fuzzy Logic Controller (FLC) based on Maximum Power Extracting (MPE) of photovoltaic standalone system is proposed, which can handle the uncertainties of the rules under high deviations in climate conditions. Traditional Perturbation and Observation (P&O), hillclimbing MPE structures are examined. The MPE used a boost converter controller. The novel MPPT controller develops enhanced P&O based on possible power extractor search technique by fuzzifying rules of such method and eliminates the conventional drawback. A new FLC based improved P&O offers a precise and quick convergence to MPE during changing climatic and steady-state conditions compared to existing P&O and hill climbing method. The development of the suggested MPE is confirmed in simulation MATLAB at dissimilar operating circumstances.

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Design and Implementation of Controller for PH Process At Elevated Pressure

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.b1024.0782s519 ◽

2019 ◽

Vol 8 (2S5) ◽

pp. 109-113

Keyword(s):

Fuzzy Logic ◽

Deep Sea ◽

Fuzzy Logic Controller ◽

Optimization Methods ◽

Elevated Pressure ◽

Ph Control ◽

Laboratory System ◽

The Novel ◽

Modeling And Control ◽

Simulation Results

This paper describes the modeling and control of a pH neutralization process and compares the traditional, fuzzy logic and Genetic Algorithm (GA) optimization methods for the novel deep sea microbial instrument at elevated pressure. National Institute of Ocean Technology (NIOT) has designed, developed and patented a novel instrument to mimic deep sea conditions in laboratory for deep sea microbial exploration. Controlling pH in the novel deep sea conditions mimicking laboratory system is complicated, because of high salinity, temperature stimulus, high pressure operation, and its non-linearity. To address the pH control issues a systematic real time experimental model was designed developed, implemented and analyzed. The simulation results shows that the proposed controller technique is effective in tracking set point and has resulted in a minimum value of the Integral Square Error, peak overshoot and minimum settling time as compared to conventional methods. The experimental results show that the model accuracy and the GA and fuzzy logic controller performance is superior then the other control methods and it matches favorably with the simulation results.

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