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APPLICATION OF fuzzy-logic control-SYSTEM FOR REACTOR FEED-WATER control

fuzzy SETS AND SYSTEMS 1995年第1期74卷 61-72页

作者： IIJIMA, T NAKAJIMA, Y NISHIWAKI, Y UNIV VIENNA A-1010 VIENNAAUSTRIA

On the occasion of the 2nd World Congress of IFSA held in Tokyo in July, 1987, a small meeting was convened by Prof. Nishiwaki, Ex-deputy director of the Division of Nuclear Safety and Environmental Protection of IAEA, to discuss possible application of fuzzy set theory and fuzzy logic control in nuclear plants. This paper describes successful actual application of fuzzy logic control system (FLCS) to the feed-water control system of the 165 MWe Fugen Advanced Thermal Reactor (ATR). Fugen is a heavy-water moderated, light-water cooled reactor. The introduction of fuzzy logic control system (FLCS) has enabled operators to more effectively control the steam drum water level as compared with a conventional proportional-integral (PI) control system.

关键词： fuzzy logic control NUCLEAR REACTOR FEED-WATER control

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Adaptive fuzzy logic control of dynamic balance and motion for wheeled inverted pendulums

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fuzzy SETS AND SYSTEMS 2009年第12期160卷 1787-1803页

作者： Li, Zhijun Xu, Chunquan Shanghai Jiao Tong Univ Dept Automat Shanghai 200240 Peoples R China Univ Electrocommun Dept Mech Engn & Intelligent Syst Chofu Tokyo 1828585 Japan

In this paper, adaptive fuzzy logic control of dynamic balance and motion is investigated for wheeled inverted pendulums with parametric and functional uncertainties. The proposed adaptive fuzzy logic control based on physical properties of wheeled inverted pendulums makes use of a fuzzy logic engine and a systematic online adaptation mechanism to approximate the unknown dynamics. Based on Lyapunov synthesis, the fuzzy control ensures that the system outputs track the given bounded reference signals to within a small neighborhood of zero, and guarantees semi-global uniform boundedness of all closed-loop signals. The effectiveness of the proposed control is verified through extensive simulations. (C) 2008 Elsevier B.V. All fights reserved.

关键词： Wheeled inverted pendulum fuzzy logic control Zero dynamics

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Computational complexity of general fuzzy logic control and its simplification for a loop controller

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fuzzy SETS AND SYSTEMS 2000年第2期111卷 215-224页

作者： Kim, YH Ahn, SC Kwon, WH Seoul Natl Univ Sch Elect Engn Control Informat Syst Lab Kwanak Gu Seoul 151742 South Korea

This paper analyzes the number of operations and parameters of general fuzzy logic control algorithms. And limitations of loop controllers to implement the fuzzy logic control are investigated in terms of computation time and required memory. Using analysis of general fuzzy logic control algorithms, it is shown that general fuzzy logic control algorithms are not suitable for loop controllers. A simplified fuzzy logic control for loop controllers is presented using a fixed control table with mapping parameters. This simplified fuzzy logic control is shown to be suitable for a loop controller with regard to the computation time and the required memory. For easy programming of the simplified fuzzy logic control, a fuzzy logic control block is suggested as a specific block for general graphical block diagram editors. Experiments show that the simplified fuzzy logic control overcomes the limitations of loop controllers and provides good performance. (C) 2000 Elsevier Science B.V. All rights reserved.

关键词： fuzzy logic control loop controllers computation time memory

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AC TRAIN EMERGENCY fuzzy-logic control USING AN EVENT-DRIVEN APPROACH

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IEE PROCEEDINGS-B ELECTRIC POWER APPLICATIONS 1993年第5期140卷 307-315页

作者： CHANG, CS Department of Electrical Engineering National University of Singapore Singapore Singapore

The paper proposes a fast, versatile and easy-to-use technique for control of train despatch schedules in an electrified railway system for improving its performance following outage of a station transformer. Using the technique of event driven approach and fuzzy logic, it is shown how a set of performance indices which represent the requirements on passengers, headway, regularity, and electrical loading, are optimised during rescheduling following such outage. Without the proposed emergency control technique, the railway system under consideration exhibits unstable buildups of unserved passengers/transformer overloads. Such buildups severely restrict the system's capabilities to return to normal operation.

关键词： ELECTRIFIED RAILWAY OPERATION EMERGENCY control EVENT DRIVEN APPROACH fuzzy logic control PERFORMANCE INDEXES

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Almost disturbance decoupling of nonlinear systems with mismatch uncertainties via feedback linearization approach and fuzzy logic control

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JOURNAL OF INTELLIGENT & fuzzy SYSTEMS 2006年第2期17卷 95-111页

作者： Chen, CC Wu, TH Chen, YJ Natl Formosa Univ Dept Elect Engn Huwei Yunlin Taiwan Hung Jen Girl Sch Chiayi Taiwan

This paper first studies the output tracking and almost disturbance decoupling problem of nonlinear control systems with mismatch uncertainties based on the feedback linearization approach and fuzzy logic control. The main contribution of this study is to construct a composite controller, under appropriate conditions, such that the resulting closed-loop system is valid for any initial condition and bounded tracking signal with the following characteristics: input-to-state stability with respect to disturbance inputs and almost disturbance decoupling, i.e., the influence of disturbances on the L-2 norm of the output tracking error can be arbitrarily attenuated by increasing some adjustable parameters. One example, which cannot be solved by previous papers on the almost disturbance decoupling problem, is proposed in this paper to exploit the fact that the tracking and the almost disturbance decoupling performances are easily achieved by the proposed approach. In order to demonstrate the practical applicability, this paper has investigated an inverted pendulum control system.

关键词： Takagi-Sugeno fuzzy model fuzzy logic control almost disturbance decoupling feedback linearization approach uniform ultimate bounded composite Lyapunov approach

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A data-driven improved fuzzy logic control optimization-simulation tool for reducing flooding volume at downstream urban drainage systems

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SCIENCE OF THE TOTAL ENVIRONMENT 2020年 732卷 138931页

作者： Li, Jiada Univ Utah Dept Civil & Environm Engn 201 Presidents Circle Salt Lake City UT 84112 USA

The uncertainty of climate change and urbanization imposed additional stress for urban drainage systems (UDSs) by intensifying rainfall frequency and magnifying peak runoff rate. UDSs are among the stormwater infrastructures that can be controlled in real-time for mitigating downstream urban flooding. In this paper, a data-driven improved real-time control optimization-simulation tool called SWMM_FLC, which is based on the FLC (fuzzy logic control) and GA (genetic algorithm), was developed for smart decision-making of flooding mitigation. A calibrated and validated SWMM model was used for applying SWMM_FLC to explore the potential in reducing downstream flooding volume at UDSs. The results show that the data-driven enhanced GA optimization significantly reduces fuzzy system deviations from 0.22 (non_optmial scenario) to 0.07 (optimal scenario). The accumulated flooding volume reduction by up to 4.55% under eight artificial rainfall scenarios discloses the possibility of adopting SWMM_FLC as appropriate software to assist decision-makers to effectively minimize urban flooding volume at downstream urban drainage systems.

关键词： Urban drainage systems Real-time control fuzzy logic control Genetic algorithm SWMM_FLC Accumulated flooding volume

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Robust type 2 fuzzy logic control microgrid-connected photovoltaic system with battery energy storage through multi-functional voltage source inverter using direct power control

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ENERGY REPORTS 2024年 11卷 3117-3134页

作者： Maroua, Bouziane Laid, Zarour Benbouhenni, Habib Fateh, Mehazzem Debdouche, Naamane Colak, Ilhami Bros Mentouri Univ Dept Elect Engn Lab Elect Constantine LEC Constantine 25000 Algeria Nisantasi Univ Fac Engn & Architecture Dept Elect & Elect Engn TR-34481742 Istanbul Turkiye Univ Antilles LARGE Lab Rech Geosci & Energies EA 4539 F-97100 Pointe A Pitre France

In this paper, we deal with control performance and power quality improvement of a microgrid-connected photovoltaic system (PVS) with battery energy storage, against varying solar irradiance, temperature, and nonlinear, and load conditions. The novelty of this research is the use of a new strategy called type 2 fuzzy logic controller (T2FLC) to improve the power quality of the PV system under different conditions. The comparative study involved two versions of fuzzy logic controllers: type 1 fuzzy logic controller (T1FLC) and T2FL. On the DC side, the microgrid system includes a PVS and battery storage, while the AC side is composed of a multifunctional two-level voltage source inverter associated with a shunt active power filter that supplies power to a nonlinear load and is connected to the grid. On the AC side, the system is controlled using a direct power control strategy associated with the space vector modulation technique, in addition to the proposed technique. The fuzzy logic controller is employed to extract maximum power from solar panels and ensure optimal power management of the battery storage. It also controls the DC link voltage loop, the active/reactive power loops of the grid, the compensation of harmonic currents in the network, and the injection of extracted active power into the grid or the nonlinear load with high quality. The proposed solution is validated through simulation using MATLAB software. The simulation results demonstrate that the proposed technique offers superior performance in terms of accurate tracking and optimization, reactive power compensation, total harmonic distortion elimination due to non-linear loads, and resilience against variations in irradiance and non-linear load, as compared to a proportional-integral controller.

关键词： fuzzy logic control Photovoltaic system Battery energy storage system Maximum power point tracking Direct power control Renewable energy systems

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Optimize adaptive media playout using dynamic fuzzy logic control for video streaming

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MULTIMEDIA TOOLS AND APPLICATIONS 2018年第21期77卷 28799-28816页

作者： Khalib, Zahereel Ishwar Abdul Ehtiba, Farij Omar Ahmad, R. Badlishah Salim, Naseer Sabri Rahman, Mostafijur Li, Mingfu Univ Malaysia Perlis Embedded Network & Adv Comp Res Sch Comp & Commun Arau Malaysia Misrata Univ Fac Informat Technol Misrata Libya Univ Sultan Zainal Abidin Kampus Gong Badak Kuala Nerus 21300 Terengganu Malaysia Daffodil Int Univ Dept Software Engn 102 Shukrabad Dhaka 1207 Bangladesh Chang Gung Univ Coll Engn Sch Elect & Comp Engn Dept Elect Engn Taoyuan 33302 Taiwan

Adaptive Media Playout (AMP) controls adapt playout rate to prevent buffer outage and to reduce delay in playout. Most AMP techniques use buffer fullness or its variation as indicator to adapt to playout rate. Nonetheless, selecting a convenient buffer threshold of particular design is a great challenge. Based on this principle, Dynamic fuzzy logic (DFL) controls principle fused with AMP technique to propose a new technique, known as DFLAMP. The technique is implemented to reduce playout delay and prevent buffer outage. Moreover, DFLAMP is also utilized to adjust playout rate based on arrival rate variation and adapt playout rate to keep the buffer fullness around the desired level. Simulation results have indicated that DFLAMP technique efficiently outperforms other AMP approaches. DFLAMP shows 14.5% less buffer underflow, 25% less buffer overflow, and 26.4% less distortion of variance as compared to APTA. Moreover, it depicts 7.5% decreased total playout delay as compared to DPTA-APTA.

关键词： Adaptive media playout Buffer outage fuzzy logic control Playout delay Video streaming

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Development and comparison of integrated dynamics control systems with fuzzy logic control and sliding mode control

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JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY 2013年第6期27卷 1853-1861页

作者： Song, Jeonghoon Tongmyong Univ Dept Mechatron Engn Pusan 608711 South Korea

In this study, four integrated dynamics control (IDC) systems abbreviated as IDCB, IDCS, IDCF, and IDCR are developed, evaluated and compared. IDC systems were integrated with brake and steer control systems to enhance lateral stability and handling performance. To construct the IDC systems, a vehicle model with fourteen degrees of freedom, a fuzzy logic controller, and a sliding mode ABS controller were used. They were tested with various steering inputs when excessive full brake pressure or no brake pressure was applied on dry asphalt, wet asphalt, a snow-covered paved road, and a split-mu road. The results showed that an IDC-equipped vehicle improved lateral stability and controllability in every driving condition compared to an ABS-equipped vehicle. Under all road conditions, IDC controllers enabled the yaw rate to follow the reference yaw rate almost perfectly and reduced the body slip angle. On a split-road, IDCB, IDCS, IDCF, and IDCR vehicles drove straight ahead with only very small deviations.

关键词： Active front wheel steer (AFS) Active rear wheel steer (ARS) Direct yaw moment control (DYC) fuzzy logic control Integrated dynamics control (IDC) Sliding mode control

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Spacecraft Hovering Flight in a Binary Asteroid System by Using fuzzy logic control

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IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS 2019年第6期55卷 3246-3258页

作者： Zhang, Yonglong Zeng, Xiangyuan Zhang, Fengdi Beijing Inst Technol Sch Automat Beijing Peoples R China Beijing Aerosp Automat Control Inst Natl Key Lab Sci & Technol Aerosp Intelligence Co Beijing 142402 Peoples R China

fuzzy logic controllers are designed for spacecraft hovering flight in a binary asteroid system. The binary asteroid system is modeled as an ellipsoid-sphere system where the spherical harmonics method is adopted to represent the gravitational field of the asteroids. The method to design the fuzzy logic controllers is introduced in detail. Hovering flight about the inner collinear equilibrium point L-1 of binary asteroid Didymos is numerically presented. Detailed steps on roughly estimating the scaling gains of fuzzy logic controllers are also summarized. Numerical simulations are performed to show the effectiveness of the proposed method. Moreover, the aforementioned fuzzy logic controllers can be used for both continuous and impulsive thrusters. The fuzzy controllers with continuous thrust, the fuzzy controllers with fixed thrust, and the other two kinds of sliding-mode controllers are optimized in the same way and compared in the same simulation environment together, to show tremendous advantages of fuzzy logic controllers and continuous thrusters on both control performance and propellant consumption.

关键词： Solar system Space vehicles fuzzy logic Ellipsoids Attitude control Harmonic analysis Mathematical model Binary asteroid system fuzzy logic control hovering flight

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