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Enhancing the efficiency of cabin heaters in emergency shelters after earthquakes through an optimized fuzzy controller

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建筑模拟(英文) 2023年第9期16卷 1759-1776页

作者： Erkan Duman Dila Seckin Computer Engineering Department Engineering FacultyFirat UniversityElazig 23119Turkey

In just one and half minutes,more than fifty thousand died due to the 7.7 and 7.6 magnitude earthquakes that struck Turkey’s southeast on February 6,2023;thousands of families who barely escaped struggled to survive in the freezing weather.A warm shelter was the most basic requirement of these *** buildings are a rapid and easy solution to this ***,there is a need for a more effective and safe heating option than a wood fire for these *** this study,cabin heaters,which allow truck drivers to warm up when they park their vehicles to sleep,are specially optimized for emergency shelters after an *** optimized fuzzy controller was developed to use in such buildings,which allows an air–fuel ratio in the combustion chamber of the cabin heater to be controlled adaptively based on system dynamics to get lower carbon emissions and fuel *** TRNSYS software was used to establish the transient simulation model of a cabin heater with a capacity of 4 kW for a typical 21 m^(2) shelter building in Turkey’s cold *** developed fuzzy controller carried out the heating process of this shelter from the 15th of November to the 15th of *** of using expert knowledge,the Gray Wolf Optimization(GWO)method was applied to optimize the fuzzy controller parameters developed for the cabin *** the optimized fuzzy controller,the fuel consumption at the end of the heating season was reduced by an average of 0.2 L/h,and the cabin heater’s efficiency increased by more than 13%.Our simulation results show that the intelligent controller we developed could improve diesel fuel combustion efficiency by up to 85%.

关键词： parking heater cabin heater emergency shelters fuzzy controller gray wolf optimization TRNSYS simulation

Signal frequency based self－tuning fuzzy controller for semi－active suspension system

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Journal of Zhejiang University Science 2003年第4期4卷 426-432页

作者：孙涛黄震宇陈大跃汤磊 DepartmentofElectronicEngineering ShanghaiJiaotongUniversityShanghai200030China

A new kind of fuzzy control scheme, based on the identification of the signal' s main frequency and the behavior of the ER damper, is proposed to control the semi-active suspension system. This method ad-justs the fuzzy controller to achieve the best isolation effect by analyzing the main frequency' s characters and inspecting the change of system parameters. The input of the fuzzy controller is the main frequency and the op-timal damping ratio is the output. Simulation results indicated that the proposed control method is very effec-tive in isolating the vibration.

关键词： Semi active suspension ER damper Frequency identification fuzzy controller

Improving the transition capability of the low-voltage wind turbine in the sub-synchronous state using a fuzzy controller

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Clean Energy 2022年第4期6卷 682-692页

作者： Ngakan Ketut Acwin Dwijendra Abduladheem Turki Jalil Azher MAbed Bashar SBashar Ahmed Kateb Jumaah Al-Nussairi Ali Thaeer Hammid Ali Shamel Khusniddin Fakhriddinovich Uktamov Faculty of Engineering Udayana UniversityBaliIndonesia80361 Faculty of Biology and Ecology Yanka Kupala State University of Grodno230023 GrodnoBelarus College of Technical Engineering The Islamic UniversityNajafIraq Department of Air Conditioning and Refrigeration Al-Mustaqbal University CollegeBabylonIraq Al-Nisour University College BaghdadIraq Al-Manara College for Medical Sciences MaysanIraq Computer Engineering Techniques Faculty of Information TechnologyImam Ja’afar Al-Sadiq UniversityBaghdadIraq Department of Chemistry Ardebil BranchIslamic Azad UniversityArdebilIran ‘Economic Security’Department Tashkent State University of EconomicsTashkent CityUzbekistan

The main problem of wind turbines is associated with induction generators in their power supply during short circuits in the *** this research,a new method is presented for the uninterrupted operation of a wind turbine equipped with an induction generator fed on both sides of feeding during network *** farms equipped with a doubly-fed induction generator(DFIG)require two abilities to allow system operators to increase *** capabilities include fault ride-through and synchronization of output force fluctuations,especially when these generators generate significant electrical power.A MATLAB®software environment has been used to evaluate and improve the performance of these turbines.A fuzzy complement(FC)controller is used to improve the performance of the *** results demonstrate that this controller limits the operation of the turbine current and voltage in the short-circuit mode *** results obtained from comparing two different modes,it can be said that ripple is 4%in the FC mode,while this parameter is equal to 10%for the proportional-integral controller.

关键词： wind turbine sub-synchronous performance fuzzy controller MATLAB

fuzzy-based metaheuristic algorithm for optimization of fuzzy controller:fault-tolerant control application

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International Journal of Intelligent Computing and Cybernetics 2022年第4期15卷 599-624页

作者： Himanshukumar Rajendrabhai Patel Department of Instrumentation and Control Engineering Faculty of TechnologyDharmsinh Desai UniversityNadiadIndia

Purpose-fuzzy-based metaheuristic algorithm is used to optimize the fuzzy controllers for the nonlinear level control system subject to uncertainty specially in the main actuator that has lost effectiveness(LOE).To optimize the fuzzy controller,type-1 harmonic search(HS)and interval type-2(HS)will be ***/methodology/approach-The type-1 and type-2 fuzzy-based HS algorithms are designed for optimization of fuzzy controllers for Fault-Tolerant Control(FTC)applications,and this research proposes a fuzzy-based HS metaheuristic *** performance of a fuzzy logic-based HS algorithm applied to a nonlinear two-tank level control process with a main actuator that has lost effectiveness(LOE)and also the same controller will be tested on DC motor angular position control with and without ***-The key contribution of this work is the discovery of the best approach for generating an optimal vector of values for the fuzzy controller’s membership function *** is done in order to improve the controller’s performance,bringing the process value of the two-tank level control process closer to the target process value(set point).It is worth noting that the type-1 fuzzy controller that has been optimized is an interval type-2 fuzzy system,which can handle more uncertainty than a type-1 fuzzy ***/value-The type-1 and type-2 fuzzy-based HS algorithms are designed for optimization of fuzzy controllers for FTC applications,and this research proposes a fuzzy-based HS metaheuristic *** performance of a fuzzy logic-based HS algorithm applied to a nonlinear two-tank level control process with a main actuator that has LOE will be tested on DC motor angular position control with *** nonlinear uncertain processes are used to demonstrate the effectiveness of the proposed control scheme.

关键词： Harmonic search algorithm fuzzy controller Type-2 fuzzy systems fuzzy sets

Load frequency control in deregulated power system with wind integrated system using fuzzy controller

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Frontiers in Energy 2013年第2期7卷 245-254页

作者： Yajvender Pal VERMA Ashwani KUMAR Department of Electrical & Electronics Engineering UIET PanjabUniversity Chandigarh 160014 India Department of Electrical Engineering National Institute of TechnologyKurukshetra Haryana 132119 India

This paper presents the analysis of load frequency control （LFC） of a deregulated two-area hydro-thermal power system using fuzzy logic controller, with doubly fed induction generators （DFIGs） integrated into both the control areas. The deregulation of power sector has led to the formation of new companies for generation, transmission and distribution of power. The conventional two-area power system is modified to study the effects of the bilateral contracts of companies on the system dynamics. Deregulation creates highly competitive and distributed control environment, and the LFC becomes even more challenging when wind generators are also integrated into the system. The overall inertia of the system reduces, as the wind unit does not provide inertia and isolates from the grid during disturbances. The DFIGs integrated provide inertial support to the system through modified inertial control scheme, and arrests the initial fall in frequency after disturbance. The inertial control responds to frequency deviations, which takes out the kinetic energy of the wind turbine for improving the frequency response of the system. To enhance the participation of the doubly fed induction generator （DFIG） in the frequency control, optimal values of the speed control parameters of the DFIG-based wind turbine have been obtained using integral square error （ISE） technique. The dynamics of the system have been obtained for a small load perturbation, and for contract violation using fuzzy controller.

关键词： frequency regulation fuzzy controller deregulated power system doubly fed induction generator(DFIG) bilateral contract

fuzzy controller and Rules Optimization Used For the Surface Maneuver Control of Submarine in Calm Sea Area

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Fuzzy Controller and Rules Optimization Used For the Surface...

2009中国控制与决策会议

作者： Zhang Huajun,Zhao Jin,Gen Tao,Cong Ze Department of Control Science and Engineering,Huazhong University of Science and Technology,China.

＜正＞When submarine docks at military harbor or other calm area,the requirement of maneuver control is strict. Although there is any disturbance of ocean wave in calm area,it is difficult to ensure the accurate maneuver control since the submarine’s large inertia and imprecise *** order to obtain excellent surface maneuver control performance,this paper applies fuzzy controller to steering yaw actuator to track the course of *** of large inertia,the fuzzy controller used in this paper takes three state variables such as heading angle,yaw rate and yaw acceleration as *** with single and two inputs fuzzy controller,the three-input fuzzy controller is difficult to design fuzzy rules and adjust membership *** the optimization of three-input fuzzy controller, this paper uses a multi-objective optimization method to design an optimal track for a certain steering angle under the actual constraint of yaw rate and yaw *** the optimal path which possesses the best synthetical performance of response rate and stability,this paper uses online experiments to track it and records the data of the three state variables and the rudder *** last,with the data of inputs and output,it is easy to use GA to optimize rules of fuzzy *** imprecise model of submarine,this paper designs an excellent fuzzy controller for the submarine maneuver control successfully.

关键词： fuzzy controller Rules Optimization Maneuver Control Submarine

Nozzle fuzzy controller of Agricultural Spraying Robot Aiming Toward Crop Rows

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Nozzle Fuzzy Controller of Agricultural Spraying Robot Aimin...

第三届国际计算机与计算技术在农业中的应用研讨会

作者： Jianqiang Ren Department of Computer Langfang Teachers College

A novel nozzle controller of spraying robot aiming toward crop-rows based on fuzzy control theory was studied in this paper to solve the shortcomings of existing nozzle control system,such as the long regulation time,the higher overshoot and so *** new fuzzy controller mainly consists of fuzzification interface,denazification interface,rule-base and inference *** the actual application,the fuzzy controller was designed as a 2-inputs＆1-output closed-loop *** inputs are the distance from nozzle to crop row and its change rate,the output is the control signal to the execution *** on the design project,we selected the FMC chip NLX230,the EMCU chip AT89S52 and the EEPROM chip AT93C57 to make the fuzzy *** results show that the project is workable and efficient,it can solve the shortcomings of existing controller perfectly and the control efficiency can be improved greatly.

关键词： nozzle fuzzy controller spraying robot crop-rows

Realization of fuzzy controller with Parameters PID Self-tuning by Combination of Software and Hardware

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Realization of Fuzzy Controller with Parameters PID Self-tun...

第二届仪器科学与技术国际学术研讨会

作者： Jiang Wei Luo Jianbo College of Mechanical and Electrical Engineering Zhejiang University of Technology Hangzhou

＜正＞ fuzzy controller with parameters PID self-tuning can be realized by either software or hardware. However, the realization by software results in poor performance in real time, and the realization by hardware has such disadvantages as difficult realization and high source consumption. The fuzzy controller proposed in this paper is realized with the PID regulator realized by software and the parameters PID fuzzy inference （or self-tuning）, realized by hardware. Field Programmable Gate Array（FPGA） is applied to the realization of parameters PID fuzzy inference by hardware. The advantage of this combination method is the performance in real time is balanced with the consumption in system source, and the controller has good control performance, as well.

关键词： FPGA fuzzy controller parameters PID self-tuning hardware realization

Research of fuzzy controller Based on Fluctuating Forms of Time Series

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Research of Fuzzy Controller Based on Fluctuating Forms of T...

2012 International Conference on Power Electronics Engineering and Computer Technology(PEECT 2012)

作者： Li Zhigang Chen Long College of Information Engineering Hebei United University College of Electrical Engineering Hebei United University

A traditional fuzzy controller has problems of slow adjustment and oscillation near the stable point due to the characteristic of its own structure that only the current system status is considered. From the point of view to consider the historical status of the system, this paper firstly tries to prove that the involvement of historical status can help to improve the performance index of the system. Then a fuzzy control system based on fluctuating forms of time series which introduces the trend of historical status into the traditional fuzzy control system to be involved in the control decisionmaking together with the current status is proposed according to theoretical proof in order to improve the control performance index. And to be followed, the specific discription of the new fuzzy controller is also provided. At last the forecast of future research directions and outlook are given.

关键词： fuzzy controller historical status time series fluctuating forms