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1
Thompson, Richard. "Neuro-fuzzy predictive control of an information-poor system." Thesis, University of Oxford, 2002. http://ora.ox.ac.uk/objects/uuid:e463774c-a1c6-439e-a7e6-3cbb7aec68e3.
Full textAbstract:
While modern engineering systems have become increasingly integrated and complex over the years, interest in the application of control techniques which specifically attempt to formulate and solve the control problem in its inherently uncertain environment has been moderate, at best. More specifically, although many control schemes targeted at Heating, Ventilating and Air-Conditioning (HVAC) systems have been reported in the literature, most seem to rely on conventional techniques which assume that a detailed, precise model of the HVAC plant exists, and that the control objectives of the controller are clearly defined. Experience with HVAC systems shows that these assumptions are not always justifiable, and that, in practice, these systems are usually characterized by a lack of detailed design data and a lack of a robust understanding of the processes involved. Motivated by the need to more efficiently control complex, uncertain systems, this thesis focuses on the development and evaluation of a new neuro-fuzzy model-based predictive control scheme, where certain variables used in the optimization remain in the fuzzy domain. The method requires no training data from the actual plant under consideration, since detailed knowledge of the plant is unavailable. Results of the application of the control scheme to the control of thermal comfort in a simulated zone and to the control of the supply air temperature of an air-handling unit in the laboratory are presented. It is concluded that precious resources (as measured by actuator activity, for example) need not be wasted when controlling these systems. In addition, it is also shown that a very precise (and sometimes not necessarily accurate) control value computed at each sample is unnecessary. Rather, by defining the system and its environment in the fuzzy domain, the fuzzy decision algorithms developed here may be employed to get an "acceptable" control performance.
2
Carvajal, Florez Fabio Alejandro. "Implementação de uma bancada de ensaios para analise de estrategias de controle de sistemas de refrigeração e ar condicionado." [s.n.], 2004. http://repositorio.unicamp.br/jspui/handle/REPOSIP/263357.
Full textAbstract:
Orientador: Luiz Felipe Mendes de MouraMade available in DSpace on 2018-08-04T03:19:09Z (GMT). No. of bitstreams: 1 CarvajalFlorez_FabioAlejandro_D.pdf: 13507897 bytes, checksum: 763803f559424480cb0dc2207f08a244 (MD5) Previous issue date: 2004
Resumo: No presente trabalho se realiza o estudo do controle da válvula de expansão e da velocidade de rotação do motor do compressor para um sistema de ar condicionado com armazenamento térmico em banco de gelo. Utilizando os princípios de projeto térmico, projeto eletrônico, programação de computadores e técnicas de controle procuram-se o aumento da eficiência do sistema. Neste controle propostos usou-se a lógica difusa. Inicialmente controlou-se o grau de superaquecimento através do controle da abertura da válvula de expansão e trabalhando o compressor em sua rotação máxima. Em seguida foi implementado um controle que trabalha regulando simultaneamente a velocidade do compressor e a abertura da válvula de expansão
Abstract: In this work is realized a control analysis ofthe expansion valve and the rotacional speed of the compressor engine for an air conditioning system with thermal storage in an ice storage tank. The thermal project, electronical project, computer programming and control technics are integrated to increase the performance of the system. To implement the proposed controls the logic fuzzy is used. Inicially, the refrigerant superheat was controlled through the expansion valve with the compressor working at highest rotational speed. Then, it was implemented the control regulating simultananeously the compressor speed and the expansion valve
Doutorado
Termica e Fluidos
Doutor em Engenharia Mecânica
3
Ghazali, Abu Baker Mhd. "Advanced controllers for building energy management systems : advanced controllers based on traditional mathematical methods (MIMO P+I, state-space, adaptive solutions with constraints) and intelligent solutions (fuzzy logic and genetic algorithms) are investigated for humidifying, ventilating and air-conditioning applications." Thesis, University of Bradford, 1996. http://hdl.handle.net/10454/4197.
Full textAbstract:
This thesis presents the design and implementation of control strategies for building energy management systems (BEMS). The controllers considered include the multi PI-loop controllers, state-space designs, constrained input and output MIMO adaptive controllers, fuzzy logic solutions and genetic algorithm techniques. The control performances of the designs developed using the various methods based on aspects such as regulation errors squared, energy consumptions and the settling periods are investigated for different designs. The aim of the control strategy is to regulate the room temperature and the humidity to required comfort levels. In this study the building system under study is a 3 input/ 2 output system subject to external disturbances/effects. The three inputs are heating, cooling and humidification, and the 2 outputs are room air temperature and relative humidity. The external disturbances consist of climatic effects and other stochastic influences. The study is carried out within a simulation environment using the mathematical model of the test room at Loughborough University and the designed control solutions are verified through experimental trials using the full-scale BMS facility at the University of Bradford.
4
Ghazali, Abu Baker MHD. "Advanced controllers for building energy management systems. Advanced controllers based on traditional mathematical methods (MIMO P+I, state-space, adaptive solutions with constraints) and intelligent solutions (fuzzy logic and genetic algorithms) are investigated for humidifying, ventilating and air-conditioning applications." Thesis, University of Bradford, 1996. http://hdl.handle.net/10454/4197.
Full textAbstract:
This thesis presents the design and implementation of control strategies for building
energy management systems (BEMS). The controllers considered include the multi PI-loop controllers, state-space designs, constrained input and output MIMO adaptive
controllers, fuzzy logic solutions and genetic algorithm techniques. The control
performances of the designs developed using the various methods based on aspects such
as regulation errors squared, energy consumptions and the settling periods are
investigated for different designs. The aim of the control strategy is to regulate the room
temperature and the humidity to required comfort levels.
In this study the building system under study is a 3 input/ 2 output system subject to external disturbances/effects. The three inputs are heating, cooling and humidification,
and the 2 outputs are room air temperature and relative humidity. The external
disturbances consist of climatic effects and other stochastic influences. The study is
carried out within a simulation environment using the mathematical model of the test
room at Loughborough University and the designed control solutions are verified
through experimental trials using the full-scale BMS facility at the University of
Bradford.
5
Hawkins, M. E. "Fuzzy rule-based control of ducted air flows." Thesis, University of Oxford, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.334222.
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6
Liu, Xiong-Fu. "Fuzzy model-based fault-tolerant supervisory control of air-conditioning systems." Thesis, University of Oxford, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365359.
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7
Packirisamy, Muthukumaran. "Boundary conditioning concept applied to the synthesis of microsystems using fuzzy logic approach." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0015/NQ47713.pdf.
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8
Kung, Chi-yau, and 龔子游. "Fuzzy genetic modelling of air-conditioning systems for fault detection and diagnosis." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B43895682.
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9
Kung, Chi-yau. "Fuzzy genetic modelling of air-conditioning systems for fault detection and diagnosis." Click to view the E-thesis via HKUTO, 2004. http://sunzi.lib.hku.hk/hkuto/record/B43895682.
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10
Knall, Peter J. "Heating, Ventilation, and Air Conditioning Fault Detection Using the Fuzzy Jess Toolkit." University of Akron / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=akron1395094657.
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11
Geng, Guang. "Modelling and control of some nonlinear processes in air-handling systems." Thesis, University of Oxford, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.386699.
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12
Ngo, Darius. "Fault diagnosis in a system where information is poor." Thesis, University of Oxford, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.300725.
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13
Lam, Chi-kan. "Detection of air leaks using pattern recognition techniques and neurofuzzy networks /." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21981826.
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14
林智勤 and Chi-kan Lam. "Detection of air leaks using pattern recognition techniques and neurofuzzy networks." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31222833.
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15
Hanlon, Nicholas P. "Simulation Research Framework with Embedded Intelligent Algorithms for Analysis of Multi-Target, Multi-Sensor, High-Cluttered Environments." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1460730865.
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16
Akkal, Elzem. "Control Actuation Systems And Seeker Units Of An Air-to-surface Guided Munition." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1028430/index.pdf.
Full textAbstract:
This thesis proposes a modification to an air to surface guided munition (ASGM) from bang-bang control scheme to continuous control scheme with a little cost. In this respect, time domain system identification analysis is applied to the control actuation system (CAS) of ASGM in order to obtain its mathematical model and controller is designed using pulse width modulation technique. With this modification, canards would be deflected as much as it is commanded to. Seeker signals are also post-processed to obtain the angle between the velocity vector and target line of sight vector. The seeker is modeled using an artificial neural network. Non-linear flight simulation model is built using MATLAB Simulink and obtained seeker and CAS models are integrated to the whole flight simulation model having 6 degrees of freedom. As a flight control unit, fuzzy logic controller is designed, which is a suitable choice if an inertial measurement sensor will not be mounted on the munition. Finally, simulation studies are carried out in order to compare the performance of the &ldquoASGM&rdquo
and &ldquo
improved ASGM&rdquo
and the superiority of the new design is demonstrated.
17
Motezuki, Fabio Kenji. "Um estudo sobre a simulação computacional da ventilação cruzada em habitações e sua aplicação no projeto arquitetônico." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/3/3146/tde-15092009-163547/.
Full textAbstract:
Nos últimos anos, devido à crescente preocupação com a sustentabilidade, foram despendidos mundialmente grandes esforços para a redução do consumo de energia pelos sistemas prediais. Em países tropicais como o Brasil, a ventilação natural é uma maneira efetiva e econômica para melhorar o conforto térmico dentro de habitações. Ela contribui para diminuir o uso do condicionamento de ar e renovar o ar da edificação, ajudando a reduzir as chances de se ter a Síndrome do Edifício Doente (Sick Building Syndrome SBS) e melhorando a qualidade do ar interno (Indoor Air Quality IAQ). Para tirar proveito destas vantagens da ventilação natural, o comportamento do fluxo de ar dentro da edificação deve ser analisado considerando o clima local. Existem diversos códigos computacionais baseados na Dinâmica de Fluidos Computacional (Computational Fluid Dynamics CFD) que podem ser utilizados para esta finalidade, no entanto, o CFD é um campo que requer conhecimentos altamente especializados e experiência prática para se obter bons resultados e este conhecimento geralmente está além da formação da maioria dos engenheiros e arquitetos. Com base nas dificuldades listadas e na necessidade de complementar a formação de engenheiros e arquitetos nesta área do conhecimento, este trabalho está focado em dois objetivos: o primeiro é implementar um simulador numérico computacional baseado no algoritmo Solution Algorithm for Transient Fluid Flows SOLA e as condições de contorno necessárias para a simulação da ventilação, sendo que a validação do simulador foi realizada por comparação com resultados numéricos e experimentais existentes na literatura. O segundo objetivo é propor uma ferramenta prática para a análise da ventilação natural na fase de projeto, com uma abordagem baseada na teoria de sistemas nebulosos, para identificar as melhores configurações de aberturas para um dado leiaute. Para isto, adotou-se a idéia utilizada por Givoni em seu estudo experimental: o espaço interno de uma sala é dividido em subdomínios onde a velocidade média do ar, sob diversas configurações de aberturas, é registrada. Como as velocidades médias refletem bem a eficácia da ventilação no subdomínio, elas formam a base para a definição espacial da função de pertinência para boa circulação de ar dentro da sala, considerando cada configuração de abertura. No entanto, ao invés de usar resultados experimentais, uma série de simulações computacionais baseadas em CFD, foram executadas para compor um banco de dados para avaliação das funções de pertinência. Por outro lado, temos o leiaute, que é produzido durante a concepção do projeto. Na medida em que o leiaute provê as informações para elaborar os requisitos do fluxo de ar, a função de pertinência relacionada ao fluxo de ar em cada subdomínio deve ser avaliada baseada no leiaute e nos requisitos do usuário. Acertando os requisitos providos pelo leiaute com a eficácia do fluxo de ar provido pela configuração de abertura, pode ser identificada a configuração que melhor se adapta ao leiaute. Nos casos analisados neste trabalho, o método mostrou-se promissor, indicando a configuração típica que melhor atende aos requisitos de projeto com uma boa conformidade com os resultados obtidos pela simulação da sala completa, incluindo a mobília.In the last years, due to the concerns on sustainability, a great effort in energy saving of building systems is being carried out worldwide. In tropical countries such as Brazil, the natural ventilation is an effective and economical option to improve thermal comfort inside the dwellings, to avoid the use of costly HVAC systems, and to renew the indoor air, contributing to mitigate the Sick Building Syndrome (SBS) and to improve the Indoor Air Quality (IAQ). In order to take advantage of the natural ventilation, the behaviors of the airflow inside the buildings must be analyzed considering the local climate. There are many computer simulation codes based on Computational Fluid Dynamics (CFD) that may be adopted for this purpose, however, CFD is a field that requires highly specialized knowledge and experience to achieve good results and this expertise, which is needed to obtain reliable numerical results, is generally beyond the formation of the most part of architects and engineers. Owing to these difficulties and on the necessity to form engineers and architects in this area of knowledge, this work is focused in two main objectives: The first one is to implement a numeric computational simulation program based on Solution Algorithm for Transient Fluid Flows (SOLA) and the boundary conditions needed to simulate ventilation. The validation of the code is made by comparing the numerical results with results obtained using numerical or experimental methods published by other authors. The second objective is to propose a practical tool for the analysis of natural ventilation in the design of dwellings, with an approach based on the concepts of the Fuzzy Systems Theory to identify the best configurations of the openings for a given layout. For this, the idea used by Givonis experimental study is adopted: the inner space of a room is divided in sub-domains whose mean air velocities under different opening configurations are recorded. As the mean velocities reflect very well the effectiveness of the ventilation in the sub-domain, they form the basis for the definition of spatial distribution of the membership function for good air circulation inside the room concerning each opening configuration. However, instead of the experimental ones, a series of computer simulations were carried out to build a database for the assessment of the membership functions. On the other hand, we have the sketch of the layout, which is produced during the conceptual stage of design. As the layout provides the information about the requirements for the airflow, the membership function regarding the desirable air flow for each sub-domain might be assessed based on the layout and considering the user\'s requirements. By matching the requirements provided by the layout with the effectiveness of the airflow provided by the opening configurations, the opening configuration that best fits the layout can be identified. In the cases analyzed in this work, the method shows promising results. The typical configuration that best fits the design requirements with a good conformity with the results was obtained by full room simulation, including the furniture.
18
Bradley, William J. "Current Based Fault Detection and Diagnosis of Induction Motors. Adaptive Mixed-Residual Approach for Fault Detection and Diagnosis of Rotor, Stator, Bearing and Air-Gap Faults in Induction Motors Using a Fuzzy Logic Classifier with Voltage and Current Measurement only." Thesis, University of Bradford, 2013. http://hdl.handle.net/10454/7265.
Full textAbstract:
Induction motors (IM) find widespread use in modern industry and for this reason they have been subject to a significant amount of research interest in recent times. One particular aspect of this research is the fault detection and diagnosis (FDD) of induction motors for use in a condition based maintenance (CBM) strategy; by effectively tracking the condition of the motor, maintenance action need only be carried out when necessary. This type of maintenance strategy minimises maintenance costs and unplanned downtime. The benefits of an effective FDD for IM is clear and there have been numerous studies in this area but few which consider the problem in a practical sense with the aim of developing a single system that can be used to monitor motor condition under a range of different conditions, with different motor specifications and loads.
This thesis aims to address some of these problems by developing a general FDD system for induction motor. The solution of this problem involved the development and testing of a new approach; the adaptive mixed-residual approach (AMRA). The main aim of the AMRA system is to avoid the vast majority of unplanned failures of the machine and therefore as opposed to tackling a single induction motor fault, the system is developed to detect all four of the most statistically prevalent induction motor fault types; rotor fault, stator fault, air-gap fault and bearing fault. The mixed-residual fault detection algorithm is used to detect these fault types which includes a combination of spectral and model-based techniques coupled with particle swarm optimisation (PSO) for automatic identification of motor parameters. The AMRA residuals are analysed by a fuzzy-logic classifier and the system requires only current and voltage inputs to operate. Validation results indicate that the system performs well under a range of load torques and different coupling methods proving it to have significant potential for use in industrial applications.The full-text was made available at the end of the embargo period on 29th Sept 2017.
19
Bradley, William John. "Current based fault detection and diagnosis of induction motors : adaptive mixed-residual approach for fault detection and diagnosis of rotor, stator, bearing and air-gap faults in induction motors using a fuzzy logic classifier with voltage and current measurement only." Thesis, University of Bradford, 2013. http://hdl.handle.net/10454/7265.
Full textAbstract:
Induction motors (IM) find widespread use in modern industry and for this reason they have been subject to a significant amount of research interest in recent times. One particular aspect of this research is the fault detection and diagnosis (FDD) of induction motors for use in a condition based maintenance (CBM) strategy; by effectively tracking the condition of the motor, maintenance action need only be carried out when necessary. This type of maintenance strategy minimises maintenance costs and unplanned downtime. The benefits of an effective FDD for IM is clear and there have been numerous studies in this area but few which consider the problem in a practical sense with the aim of developing a single system that can be used to monitor motor condition under a range of different conditions, with different motor specifications and loads. This thesis aims to address some of these problems by developing a general FDD system for induction motor. The solution of this problem involved the development and testing of a new approach; the adaptive mixed-residual approach (AMRA). The main aim of the AMRA system is to avoid the vast majority of unplanned failures of the machine and therefore as opposed to tackling a single induction motor fault, the system is developed to detect all four of the most statistically prevalent induction motor fault types; rotor fault, stator fault, air-gap fault and bearing fault. The mixed-residual fault detection algorithm is used to detect these fault types which includes a combination of spectral and model-based techniques coupled with particle swarm optimisation (PSO) for automatic identification of motor parameters. The AMRA residuals are analysed by a fuzzy-logic classifier and the system requires only current and voltage inputs to operate. Validation results indicate that the system performs well under a range of load torques and different coupling methods proving it to have significant potential for use in industrial applications.
20
Pan, Yicheng. "INTELLIGENT NON-DESTRUCTIVE EVALUATION EXPERT SYSTEM FOR CARBON-CARBON COMPOSITES USING THERMOGRAPHY, ULTRASONICS, AND COMPUTED TOMOGRAPHY." OpenSIUC, 2010. https://opensiuc.lib.siu.edu/dissertations/151.
Full textAbstract:
This study develops a reliable intelligent non-destructive evaluation (NDE) expert system for carbon-carbon (C/C) composites based on thermography, ultrasonic, computed tomography and post processing by means of fuzzy expert system technique. Data features and NDE expert knowledge are seamlessly combined in the intelligent system to provide the best possible diagnosis of the potential defects and problems. As a result, this research help ensure C/C composites' integrity and reliability. Four types of orthotropic aerospace composite material groups, which include 2-D pitched based commercial aircraft disc brakes and asmolds, 3-D PAN based C/C composites, and carbon fiber reinforced plastic (CFRP) panels, were tested. Based on the performance testing results of thermography, air-coupled ultrasonic, and x-ray computed tomography, the testing data pattern corresponding to feature and quantification of defects were found. This NDE knowledge databases were transformed to fuzzy logic expert system models. The models succeefully classified and indicated the defect's size and distribution and the intelligent systems perform NDE better than human operators. These fuzzy expert systems not only eliminate human errors in defect detection but also function as NDE experts. In addition, fuzzy expert systems improve the defect detection by incorporating fuzzy expert rules to remove noises and to measure defect size more accurately. In the future, the expert system model could be continuously updated and modified to quantify the size and distribution of defects. The systems developed here can be adapted and applied to build an intelligent NDE expert system for better quality control as well as automatic defect and porosity detection in C/C composite production process.
21
BO-REN, CHEN, and 陳柏任. "Application of Fuzzy Logic on Thermal Comfort Control of Mass Rapid Transit Air-Conditioning System." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/2npner.
Full textAbstract:
碩士國立臺北科技大學
冷凍空調工程系所
104
The thesis designed a smart monitoring system regarding passengers’ comfort perceptions when getting in/out of MRT stations, based on the Predicted Mean Vote (PMV) model proposed by Danish scholar P. O. Fanger in 1972, which was used as an indicator for thermal comfort perceptions in an indoor environment. The system was equipped with functions of indoor and outdoor environmental monitoring and smart controls. Through the weather computer within the environmental monitoring system at the control center, the temperature and humidity information from the Taipei Weather Station, of the Taiwans Central Weather Bureau were retrieved. Then, the Temperature-Humidity Index (THI) was calculated by the Digital Direct Control (DDC) and passengers’ clothing parameters were setup. The maximum number of people accessing MRT station can be retrieved through the data computation come from the Automatic Fare Collection (AFC) system. By introducing the obtained data about peak hours into the PMV system at stations and through various sensors to obtain indoor and outdoor environmental conditions, then the MRT stations’ current central air-conditioning mode was eventually calculated based on Fuzzy Logic, in order to control the central air-conditioning system. The system developed in this thesis was able to effectively maintain indoor comfort at the users’ set target values. For the same station to achieve the target indoor temperature under two different outdoor air environments, the PMV Fuzzy Logic system at an average power consumption of 177 kw, in comparison to the LEE system at 180 kw.
22
Tien, Chien-Ku, and 田健谷. "Application of Fuzzy Logic on Thermal Comfort Control of Variable Refrigerant Flow Multi-Split Air-Conditioning System." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/4f6665.
Full textAbstract:
碩士國立臺北科技大學
能源與冷凍空調工程系碩士班
102
In the current energy crisis, how to save energy and maintain the indoor thermal comfort is a primary issue. Refer to ASHRAE Standard55 and ISO7730 norms, which suggest that the indoor environment for human is the one with value of thermal comfort index PMV between -0.5~0.5. This study designs an intelligent monitoring system, which can monitor indoor environment in real-time, and control the variable refrigerant flow multi-split air-conditioning system by PLC controller. The experimental results showed that the intelligent monitoring system proposed in this study, which applys a fuzzy logic that can keep PMV to be close to the set value. In the other hand, the power consumption of set PMV at 0.5 is less than set PMV at 0, which means the highest PMV set between the thermal comfort zone can save more energy.
23
Chang, Wei-kuo, and 張偉國. "Real-time Ill-Conditioning Vehicle Positioning Based on Dead-Reckoning of Fuzzy Logic." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/78661836712159869215.
Full textAbstract:
碩士國立臺灣海洋大學
通訊與導航工程系
97
GPS has been used in cars widely as navigation system due to its rapid development and technical maturity in recent years. In general, GPS is easily affected by worse environment and will make the signal bias, although GPS positions accurately in the normal opening environment. In this thesis, a global satellite real-time positioning system which integrates digital compass and fuzzy system has been constructed. Simulink/S-function C Code that analyze the standard output format data of GPS receiver is developed such that the real-time data of longitude and latitude, height, number of satellites, S/N of satellites, satellite’s geometric distribution, velocity and direction can be obtained. Then the system will start the signal reliability analysis by the proposed fuzzy algorithm. When the reliability of the GPS signal is high enough, the real-time positioning system will output the real-time data of GPS directly; otherwise, a modified strategy aided by dead-reckoning system and fuzzy theory will be adopted to forecast the position of the user. Finally, spot test shows that our proposed real-time positioning system can achieve good positioning in most poor environment.
24
Lin, Kuan-Liang, and 林冠良. "A Real-Time Solution to the Ill-Conditioning GPS Positioning Based on Fuzzy Logic." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/46739002722204226348.
Full textAbstract:
碩士國立臺灣海洋大學
通訊與導航工程系
96
Because of high-speed development and technical maturity of GPS in the recent years, GPS has been applied popularly in all kinds of fields. In general, GPS is easily affected by worse environment and will make the signal bias, although GPS positions accurately in the normal opening environment. In this thesis, a global satellite real-time positioning system which integrates digital compass and fuzzy system has been constructed. First, GPS accepter will be used to output the standard format NMEA0183 data for real-time analyzing and get real-time data of longitude and latitude, height, velocity, direction, number of satellites, S/N of satellites, and satellite’s geometric distribution. Then, the proposed fuzzy controller will be used to judge the reliability of the GPS signal. When the reliability of the GPS signal is high enough, the real-time positioning system will output the real-time data of GPS directly; otherwise, a modified strategy aided by the digital compass will be adopted to forecast the position of the user. Finally, spot test shows that our proposed real-time positioning system can achieve good positioning in most poor environment.
25
Wang, Jun-Quan, and 王俊權. "Applying Fuzzy Theory on the Control of Indoor Air Quality with Saving Power of Air Conditioning." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/45273296508067911022.
Full textAbstract:
碩士建國科技大學
電機工程系暨研究所
103
In summer there are a lot of people to stay indoors with the air conditioning system in a confined space. To maintain indoor air quality, public places can be installed through the ventilation systems or air conditioning systems to supply with fresh outdoor air. These systems do not consider present indoor air quality to adjust the ventilation, causing much more outdoor hot and humid air into the room to increases the load of air-conditioning system. To solve this problem and conform to the government standard of indoor air quality, the study proposed a design of the indoor air quality control and power-saving ventilation system. This system consists of client part and server part. The client part is the air quality sensing and ventilation control device, and the server part is the graphic fuzzy monitor server system. By the measurement of carbon monoxide, carbon dioxide, formaldehyde, temperature and humidity, the system conforms to the government standard of indoor air quality and considers the harm degree of human body, and then using fuzzy control to calculate the ventilation speed to improve indoor air quality. The system will consider the present indoor air quality to adjust ventilation speed to avoid extra outdoor hot and humid air into the room to decreases the load of air-conditioning system. The experimental results showed that the indoor air quality control and power-saving ventilation system proposed by the study can conform to the government standard of indoor air quality and save power of air-conditioning system.
26
Chen, Cheng-Shing, and 陳慶星. "A Study on the Comfortable Air-condition by Fuzzy Logic Control." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/73387212660495761163.
Full text
27
張洋碩. "Application of grey prediction and fuzzy logic to air conditioner system." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/ze4k89.
Full textAbstract:
碩士國立勤益技術學院
冷凍空調系
94
This thesis presents a new controller, which grey prediction, fuzzy logic nd PID controller were combined for air conditioner system. Use MTLAB/Simulink to control the general compressor drive motor used of family combined with above-mentioned methods the hot load model of the air conditioner space, simulation the changes of input energy and indoor temperature. Simulation results indicate that the effectiveness of proposed approach is superior to conventional on-off controller, PID controller, and PID grey prediction controller.
28
Yang, Shih-Chi, and 楊斯琪. "The study of saving energy on electric vehicle air conditioning system using fuzzy control." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/9y7p57.
Full textAbstract:
碩士國立臺北科技大學
能源與冷凍空調工程系碩士班
101
In this study, we design the fuzzy control strategy for electric vehicle cabin air-conditioning systems, in order to reduce the power consumption of electric vehicles and hold the car cabin on a comfortable temperature. Experiments are act with the simulating cabin, and change different thermal load, in order to compare with traditional control strategy and fuzzy control strategy on energy saving difference. The results showed that in the steady-state temperature control, the fuzzy control strategy is the smallest of three controller. The fuzzy control temperature difference with setting temperature is about 0.5°C which is lower than the PI control temperature difference with setting temperature is about 0.7°C and the on-off control temperature difference with setting temperature is about 1.2°C. Fuzzy control strategy on average power consumption is the smallest of three. The fuzzy control average energy consumption is 640W. The On-off control average energy consumption is 798W. The average value on saving energy is about 19.8% with On-off controller. This study demonstrates that this fuzzy control strategy for electric vehicle air conditioning systems can achieve comfortable cabin temperature and consume less energy than PI controller and On-off controller.
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ZHUO, MING-XIAN, and 卓明賢. "he design of graphic monitoring air conditioning laboratory and the study of fuzzy controller." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/01223703693339412038.
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Hsieh, Yun-Yu, and 謝昀諭. "Fuzzy Logic Inference Model for Spatio-temporal Data of Air Pollutants in Taiwan." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/79q3d8.
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Lai, Chien-cheng, and 賴建成. "A Simulation Study of Air-Quality in Road Tunnel Ventilation System Using Fuzzy Logic Control." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/79719192448790335850.
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碩士國立臺灣科技大學
自動化及控制研究所
94
There were many road tunnels which had been established increasingly at these years. The ventilation control system in road tunnel already becomes very important. So, the simulation of tunnel ventilation system to control air-pollution concentration has been studying. The purpose of tunnel ventilation is to keep the air-quality and visibility good, and improve the drive safe and comfortable in road tunnels. The first step of simulation method is to establish the one-dimension parabolic partial differential advection diffusion equation that was used to describe the mass transportation model of air-pollution distribution as a block program model of the controllable plant. Then, applying the Fuzzy logic theory to operate tunnel jet-fans and control the tunnel wind quantity and adjust the wind average velocity would not let the air-pollution concentration over the standard safety value too much. By the establishment of the useful simulation model to evaluate the air-pollution concentration dynamic changeful situation in road tunnels is an economic and convenient design method. It should be very helpful to design an optimal tunnel ventilation control system.