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

APPLIED ENERGY 2008年第4期85卷 190-203页

作者： Lygouras, J. N. Kodogiannis, V. S. Pachidis, Th. Tarchanidis, K. N. Koukourlis, C. S. Democritus Univ Thrace Sch Elect & Comp Engn Elect Lab GR-67100 Xanthi Greece Univ Westminster Sch Comp Sci Ctr Syst Anal London HA1 3TP England Inst Educ Technol Dept Petr Technol GR-65404 Kavala Greece Democritus Univ Thrace Sch Elect & Comp Engn Telecommun Lab GR-67100 Xanthi Greece

The design and implementation of a Two-Input/Two-Output (TITO) variable structure fuzzy-logic controller for a solar-powered air-conditioning system is described in this paper. Two DC motors are used to drive the generator pump and the feed pump of the solar air-conditioner. The first affects the temperature in the generator of the solar air-conditioner. while the second, the pressure in the power loop. The difficulty of Multi-Input/Multi-Output (MIMO) systems control is how to overcome the coupling effects among each degree of freedom. First, a traditional fuzzy-controller has been designed, its output being one of the components of the control signal for each DC motor driver. Secondly, according to the characteristics of the system's dynamics coupling, an appropriate coupling fuzzy-controller (CFC) is incorporated into a traditional fuzzy-controller (TFC) to compensate for the dynamic coupling among each degree of freedom. This control strategy simplifies the implementation problem of fuzzy control, but can also improve the control performance. This mixed fuzzy controller (MFC) can effectively improve the coupling effects of the systems, and this control strategy is easy to design and implement. Experimental results from the implemented system are presented. (C) 2007 Elsevier Ltd. All rights reserved.

关键词： solar air-conditioner fuzzy-logic controller MIMO system mixed fuzzy controller microcontroller

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Development of an unconventional electro-hydraulic proportional valve with fuzzy-logic controller for hydraulic presses

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INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2005年第1-2期26卷 10-16页

作者： Renn, JC Tsai, C Natl Yunlin Univ Sci & Technol Dept Mech Engn Yunlin 640 Taiwan

In this study, an unconventional electro-hydraulic proportional flow control valve based on a switching solenoid and a fuzzy-logic controller is proposed for application to hydraulic presses. The main purpose of this study is the attempt to develop an electro-hydraulic proportional flow control valve with lowest cost. Since the switching solenoid possesses quite nonlinear force/stroke characteristics, it is basically not suitable for the development of hydraulic proportional valves. Therefore, the fuzzy-logic controller is employed to linearize the force/ stroke characteristics. The basic idea is the utilization of the numerically estimated pseudo-force as the feedback signal. Finally, this newly developed electro-hydraulic proportional flow control valve is installed in a hydraulic press. Experimental results show that the control of the ram velocity of the press cylinder using the proposed electro-hydraulic proportional flow control valve is quite successful.

关键词： fuzzy-logic controller hydraulic press linearization proportional valve solenoid actuator

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Mobile robot motion control in partially unknown environments using a sliding-mode fuzzy-logic controller

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ROBOTICS AND AUTONOMOUS SYSTEMS 2000年第1期33卷 1-11页

作者： Rigatos, GG Tzafestas, CS Tzafestas, SG Natl Tech Univ Athens Dept Elect & Comp Engn Intelligent Robot & Automat Lab GR-15773 Athens Greece

This paper studies the problem of motion and control law design for a mobile robot that moves inside a partially unknown environment with stationary obstacles and moving objects, under the assumption of parametric uncertainty in the model that describes the motion of the robot. A new variable structure system, that combines the basic principles of sliding-mode control with fuzzy logic, is presented which allows the robot to execute the desired motion. The proposed controller, named reduced complexity sliding-mode fuzzy-logic controller (RC-SMFLC), is characterised by its robustness and simplicity. The controller implements via fuzzy reasoning the following two rules: "IF sgn(e(t)(e) over dot(t)) < 0 THEN do not change the control action" and "IF sgn(e(t)(e) over dot(t)) > 0 THEN change the control action", where control action can be either an increase or a decrease of the control signal. The stability of the method is verified and illustrative numerical simulation examples are included. (C) 2000 Elsevier Science B.V. All rights reserved.

关键词： motion planning fuzzy-logic controller sliding-mode controller fuzzy rule base sliding surface variable structure systems hybrid intelligent control

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Linearisation Approach for the Design of fuzzy-logic controller for Autonomous Vehicles

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IFAC Proceedings Volumes 1996年第1期29卷 8107-8112页

作者： S.K. Tso Y.H. Fung Centre for Intelligent Design Automation and Manufacturing City University of Hong Kong Tat Chee Avenue Kowloon Hong Kong Department of Electrical & Electronic Engineering The University of Hong Kong Pokfulam Road Hong Kong

Numerous examples and demonstrations have shown that suitably designed fuzzy-logic controllers (FLCs) can outperform the conventional linear controllers for demanding applications by incorporating the operators' experience and experts' knowhow. But no simple and direct method is available to examine their dynamic response properties including stability in the neighbourhood of zero errors when all antecedent and consequent labels are of the linguistic form. In this paper, using the product-sum-triangle-COA fuzzy reasoning method, a linearisation method for examining the design of 2-input / 1-output FLCs for autonomous vehicles is proposed. Performance analysis can be more readily applied to provide an analytical basis for designing satisfactory FLCs from the dynamic point of view.

关键词： linearisation fuzzy-logic controller stability dynamic response autonomous vehicles

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Adaptive direct metal/material deposition process using a fuzzy logic-based controller

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JOURNAL OF LASER APPLICATIONS 2005年第4期17卷 200-210页

作者： Hua, Y Choi, J Univ Missouri Dept Mech & Aerosp Engn Rolla MO 65409 USA

The laser aided direct metal/material deposition (DMD) process is a layered manufacturing process able to produce a three-dimensional (3D) part directly from a computer aided design image. A closed-loop feedback control system is considered as a requirement to ensure dimensional accuracy. For conventional control methods, the effectiveness of process control strongly relies on accuracy of the analytical model of the system behavior. However, development of such an analytical model is quite difficult and impractical, since coupled process variables cause the complexity and nonlinearity of the DMD process. fuzzy logic-based control, which no model but only knowledge of the process is required for decision making using this control technique, is attempted to overcome the difficulty. A proportional integral differential such as a fuzzy logic-based controller was developed for adaptive deposition during the DMD process. The controller has the capability of continuously tracking the reference height by varying the laser power adaptively, thus depositing a clad line with varying deposition height and a layer with a curved surface. This feature provides a potential of building 3D parts with nonlinear geometry such as overhang, while maintaining the accuracy of surface curvature. Simulation was performed tuning up fuzzy controller parameters with an experiment-based fuzzy logic model of the DMD process and simulated results were compared with experimental results to verify the performance of the controller. (c) 2005 Laser Institute of America.

关键词： direct metal/material deposition nonuniform deposition fuzzy-logic controller height control

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Design and implementation of fuzzy logic controller for static switching control of voltage generated in self-excited induction generator

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ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS 2016年第3期7卷 411-427页

作者： Garg, Anjali Sandhu, K. S. Saini, L. M. Northcap Univ Elect Elect & Commun Engn Gurgaon India Natl Inst Technol Dept Elect Kurukshetra Haryana India

Wind energy, which is one of the major sources of renewable energy sources, may be extracted using self-excited induction generators and are preferred in hilly, rural and remote areas where grid connections are either costly or not feasible. However, one of the major problems associated with such generators is its poor voltage regulation. This paper presents the application of fuzzy logic controller to regulate the terminal voltage of such machines by static switching control of dump load. It has been shown that such proposal as presented will enhance the overall dynamic performance of the machine. The simulation results with proposed control model under varying consumer load are found to be much better than with PI controller and electronic load controller.

关键词： Electronic load controller fuzzy-logic controller Matlab/Simulink Proportional-integral controller Self-excited induction generator

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Target Tracking in Mobile Robot under Uncertain Environment using fuzzy logic controller 4

Target Tracking in Mobile Robot under Uncertain Environment ...

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4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)

作者： Handayani, Ade Silvia Dewi, Tresna Husni, Nyayu Latifah Nurmaini, Siti Yani, Irsyadi State Polytech Sriwijaya Dept Elect Palembang Indonesia Univ Sriwijaya Fac Comp Sci Robot & Control Res Lab Palembang Indonesia Univ Sriwijaya Fac Engn Dept Mech Engn Palembang Indonesia

ISBN: (纸本)9781538605493

This paper discusses a design of fuzzy logic algorithm in a robot. This algorithm is useful for the robot in seeking and reaching the target. The robot is also accomplished with an ability to avoid obstacles. Although the fuzzy rule that is embedded to the robot is very simple, it gives a good result in target seeking and obstacles avoiding task. The originality of this research is an approach to the rules that can simplify the task by creating faster track for the robot in uncertain environment.

关键词： fuzzy-logic controller navigation target tracking

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Design & implementation of smart power management system for self-powered wireless sensor nodes based on fuzzy logic controller using Proteus & Arduino Mega 2560 microcontroller

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JOURNAL OF ENERGY STORAGE 2024年 97卷

作者： Bathre, Mukesh Das, Pradipta Kumar Govt Coll Engn Dept Comp Sci & Engn Keonjhar Odisha India Veer Surendra Sai Univ technol Dept Informat Technol Sambalpur Odisha India

Efficient power management remains a significant challenge in remote sensor networks due to isolated operational environments and limited traditional energy sources. Existing solutions often struggle to adapt to variable demands and incur high maintenance costs. To address these challenges, this research presents a novel power management system tailored for remote sensor nodes. Leveraging fuzzy-logic methodology, the system intelligently allocates energy from diverse sources such as solar, wind, and batteries, optimizing power distribution while extending the system's operational lifespan. Implemented on an Arduino Mega 2560 microcontroller, the system offers adaptability and compatibility with various IoT applications. Its plug-and-play design enables seamless integration with sensor nodes, enhancing their self-powered capabilities. Validation through extensive simulations using Proteus 8.12 Pro confirms the system's efficacy, compatibility, and reliability in sustaining continuous power flow to variable loads and battery units. This research bridges the gap in remote sensor power management, offering a promising solution to mitigate challenges associated with traditional power systems in such environments. By reducing maintenance costs and enhancing reliability, this innovative approach holds promise for enhancing the longevity and effectiveness of remote sensor networks.

关键词： fuzzy-logic controller Power management Self-powered Arduino Mega 2560 Proteus

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De-Loaded Technique Enhanced by fuzzy logic controller to Improve the Resilience of Microgrids Based on Wind Energy and Energy Storage Systems

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ENERGIES 2023年第1期16卷 291页

作者： Mahrouch, Assia Ouassaid, Mohammed Cabrane, Zineb Lee, Soo Hyoung Mohammed V Univ Rabat Engn Smart & Sustainable Syst Res Ctr Mohammadia Sch Engineers Rabat 10090 Morocco Mundiapolis Univ Res Dev & Innovat Lab Casablanca 20180 Morocco Mokpo Natl Univ Dept Elect & Control Engn Mokpo 58554 South Korea

Wind turbine generators (WTGs) are highly sensitive to the disturbances of the grid and tend to disconnect quickly during a voltage dip (when the voltage value is less than 80% of the nominal voltage) or when the frequency is greatly changed. As an increasing number of permanent magnet synchronous generators (PMSGs) are incorporated into the modern power grid, system operators expect PMSG-WT to play an active role in low-voltage ride-through (LVRT) and primary frequency regulation (PFR). Consequently, PMSG-WTs must be capable of supplying additional active power in response to changes in system voltage and frequency. In this context, a new de-loaded technique enhanced by a fuzzy-logic controller is suggested to develop the PMSG-pitch angle control (PMSG-PAC). The studied MG consists of a wind farm (WF), variable load, and a battery energy storage system (BESS). The WF contains five PMSG-WTs which are considered to be the principal resource. The proposed DT-FLC ensures maximum aerodynamic reserve power for the plant, enhances its capability to regulate the PAC, adjusts the WTG drop in response to the wind speed, and increases the resilience of the PMSG-WT in the presence of low voltage. Moreover, the PFR is significantly improved in terms of controlling the PAC (-0.0007 Hz) which meets the frequency maximum droop recommended by the IEEE Std 1547-2018 and the Moroccan grid code, -3 Hz and -2.5 Hz, respectively.

关键词： microgrid resilience low-voltage ride-through primary frequency regulation permanent magnet synchronous generator de-loaded technique fuzzy-logic controller pulse width modulation

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A comparative study of DFIG-based wind energy conversion systems with fuzzy-PID and fuzzylogic controllers

A comparative study of DFIG-based wind energy conversion sys...

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IEEE PES/IAS PowerAfrica Conference

作者： Ntuli, Welcome Khulekani Sharma, Gulshan Kabeya, Musasa Durban Univ Technol Dept Elect Power Engn Fac Engn & Built Envinoronment Durban South Africa Univ Johanneburg Fac Engn & Built Envinoronment Dept Elect Engn Technol Johannesburg South Africa

ISBN: (数字)9781665466394

ISBN: (纸本)9781665466394

This article explores and compares the dynamic performance of two wind energy conversion systems (WECS): (1) the doubly fed induction generator (DFIG) based WECS incorporating voltage source converter (VSC) with a fuzzy-logic controller;(2) the DFIG based WECS incorporating VSC with a fuzzy-proportional integral derivative (PID) controller. This is done to reduce steady-state error while also reducing overshoot and undershoot oscillations and settling time of the voltage/current or power out signals and dc-link voltage. The grid-side converter is used to adjust the dc-link voltage and reactive power to their respective reference values. In addition, the rotor side converter regulates the DFIG's rotor speed in order to maintain active power output. The vector control approach is applied to obtain adequate system control. MATLAB/SIMULINK is used to simulate the control system. The simulation findings indicated that the DFIG-based WECS with a fuzzy-PID controller outperformed more effectively than the DFIG-based WECS with fuzzy logic controller.

关键词： Wind turbine DFIG Reactive power fuzzy-PID controller fuzzy-logic controller wecs

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