• Title/Summary/Keyword: control logic

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A Four Leg Shunt Active Power Filter Predictive Fuzzy Logic Controller for Low-Voltage Unbalanced-Load Distribution Networks

  • Fahmy, A.M.;Abdelslam, Ahmed K.;Lotfy, Ahmed A.;Hamad, Mostafa;Kotb, Abdelsamee
    • Journal of Power Electronics
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    • v.18 no.2
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    • pp.573-587
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    • 2018
  • Recently evolved power electronics' based domestic/residential appliances have begun to behave as single phase non-linear loads. Performing as voltage/current harmonic sources, those loads when connected to a three phase distribution network contaminate the line current with harmonics in addition to creating a neutral wire current increase. In this paper, an enhanced performance three phase four leg shunt active power filter (SAPF) controller is presented as a solution for this problem. The presented control strategy incorporates a hybrid predictive fuzzy-logic based technique. The predictive part is responsible for the SAPF compensating current generation while the DC-link voltage control is performed by a fuzzy logic technique. Simulations at various loading conditions are carried out to validate the effectiveness of the proposed technique. In addition, an experimental test rig is implemented for practical validation of the of the enhanced performance of the proposed technique.

Error Reduction of Sliding Mode Control Using Sigmoid-Type Nonlinear Interpolation in the Boundary Layer

  • Kim, Yoo-K.;Jeon, Gi-J.
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.1810-1815
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    • 2003
  • Sliding mode control with nonlinear interpolation in the boundary layer is proposed. A modified sigmoid function is used for nonlinear interpolation in the boundary layer and its parameter is tuned by a fuzzy logic controller. The fuzzy logic controller that takes the distance between the system state and the sliding surface as its input guides the choice of parameter of the modified sigmoid function and the parameter is on-line tuned. Owing to the decreased thickness, the proposed method has better tracking performance than the conventional linear interpolation method. To demonstrate its performance, the proposed control algorithm is applied to a simple nonlinear system model.

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A Study on Integrated Control of AFS and ARS Using Fuzzy Logic Control Method (Fuzzy Logic 제어를 이용한 AFS와 ARS의 통합제어에 관한 연구)

  • Song, Jeonghoon
    • Transactions of the Korean Society of Automotive Engineers
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    • v.22 no.1
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    • pp.65-70
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    • 2014
  • An Integrated Dynamics Control system with four wheel Steering (IDCS) is proposed and analysed in this study. It integrates and controls steer angle of front and rear wheel simultaneously to enhance lateral stability and steerability. An active front steer (AFS) system and an active rear steer (ARS) system are also developed to compare their performances. The systems are evaluated during brake maneuver and several road conditions are used to test the performances. The results showed that IDCS vehicle follows the reference yaw rate and reduces side slip angle very well. AFS and ARS vehicles track the reference yaw rate but they can not reduce side slip angle. On split-${\mu}$ road, IDCS controller forces the vehicle to go straight ahead but AFS and ARS vehicles show lateral deviation from centerline.

An intelligent master controller with mixed mode for teleoperation (혼합제어모드를 이용한 텔레오퍼레이션 작업용 지능형 매스터 컨트롤러)

  • 이영우;권동수
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.461-465
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    • 1996
  • Position and rate control modes arc the two common modes for controlling remote manipulators with joysticks or hand controllers. Generally, position mode is easier for teleoperation than rate modes, when the manipulation work space is small or comparable to the human operator's control space. When the telemanipulator's work space is very large, human operator's control motion range must be large to allow telemanipulator's full range of motion resulting poor control resolution. One way to solve the poor resolution problem is to use indexing. However, rate mode can provide any higher degree of resolution without use of indexing. If two modes are mixed, master controller will be more convenient. The mixed mode algorithm, changes operating mode from position mode to rate mode or vise versa using fuzzy logic. The fuzzy logic algorithm, which has been designed to recognize the teleoperator's intended motion properly, provides an intelligence to a master controller.

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DRIVING CONTROLOF A VISUAL SYSTEM

  • Sugisaka, Masanori;Hara, Masayoshi
    • 제어로봇시스템학회:학술대회논문집
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    • 1995.10a
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    • pp.131-134
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    • 1995
  • We developed a visual system that is able to track the moving objects within a certain range of errors. The visual system is driven by two DC servo motors that are controlled by a computer based on the visual data obtained from a CCD video camera. The software to track the moving objects is developed based on the PWM of the DC motors. Also, the problems how to implement a fuzzy logic control method and a neural network in this system, are also considered in order to check the control performance of tracking. The fuzzy logic algorithm is a powerful control technique for nonlinear dynamical system and also the neural network could be implemented in this system. In this paper, we present configuration of tracking system developed in our laboratory, the control methods of the visual system and the experimental results are shown.

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A Fuzzy Logic for Autonomous Navigation of Marine Vehicles Satisfying COLREG Guidelines

  • Lee, Sang-Min;Kwon, Kyung-Yub;Joongseon Joh
    • International Journal of Control, Automation, and Systems
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    • v.2 no.2
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    • pp.171-181
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    • 2004
  • An autonomous navigation algorithm for marine vehicles is proposed in this paper using fuzzy logic under COLREG guidelines. The VFF (Virtual Force Field) method, which is widely used in the field of mobile robotics, is modified for application to the autonomous navigation of marine vehicles. This Modified Virtual Force Field (MVFF) method can be used in either track-keeping or collision avoidance modes. Moreover, the operator can select a track-keeping pattern mode in the proposed algorithm. The collision avoidance algorithm has the ability to handle static and/or moving obstacles. The fuzzy expert rules are designed deliberately under COLREG guidelines. An extensive simulation study is used to verify the proposed method.

Modeling of Discrete Event Systems with Real-time Temporal Logic Frameworks (실시간 시간논리구조를 이용한 이산 사건 시스템의 모델링)

  • Jeong, Yong-Man;Lee, Won-Hyok;Choi, Jeong-Nae;Hwang, Hyung-Soo
    • Proceedings of the KIEE Conference
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    • 1997.07b
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    • pp.590-592
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    • 1997
  • A Discrete Event Dynamic System is a system whose states change in response to the occurrence of events from a predefined event set. A major difficulty in developing analytical results for the systems is the lack of appropriate modeling techniques. This paper proposes the use of Real-time Temporal Logic as a modeling tool for the analysis and control of DEDS. The Real-time Temporal Logic Frameworks is extended with a suitable structure of modeling hard real-time constraints. Modeling rules are developed for several specific situations. It is shown how the graphical model can be translated to a system of linear equations and constraints.

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Antl-Lock Brake System Control for Buses Based on Fuzzy Logic and a Sliding-Mode Observer

  • Park, Jong-Hyeon;Kim, Dong-Hee;Kim, Yong-Ju
    • Journal of Mechanical Science and Technology
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    • v.15 no.10
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    • pp.1398-1407
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    • 2001
  • In this paper an anti-lock brake system (ABS) for commercial buses is proposed based on a fuzzy-logic controller and a sliding-mode observer of the vehicle speed. The brake controller generates pulse width modulated (PWM) control inputs to the solenoid valve of each brake, as a function of the estimated wheel slip ratio. PWM control inputs at the brakes significantly reduce chattering in the brake system compared with conventional on-off control inputs. The sliding-mode observer estimates the vehicle speed with measurements of wheel speed, which is then sed to compute the wheel slip ratio. The effectiveness of the proposed control algorithm is validated by a series of computer simulations of bus driving, where the 14-DOF bus model is used.

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Weighing control of alloy metal for electric arc furnace by fuzzy system (퍼지 시스템을 사용한 전기로 합금철 계량 제어)

  • Lee, Gi-Bum;Heo, J.H.;Joo, Moon-G.
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.6
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    • pp.821-825
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    • 2008
  • A fuzzy control algorithm is used to weigh alloy metal into electric arc furnace and implemented by using ladder program for programmable logic controller, where weight error and its derivative are used for input variables and vibration amplitude of alloy bin is used for output variable. Proposed fuzzy control algorithm is applied to the plant and results in higher measuring accuracy as well as faster measuring term than conventional on-off control system.

Application of IMCS MBC Logic for Thermal Power Plant (발전소 통합감시제어시스템의 MBC 개발 로직 실계통 적용)

  • Shin, Man-Su;Yoo, Kwang-Myeng;Byun, Seung-Hyun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.62 no.6
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    • pp.845-851
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    • 2013
  • Because the existing control system has been operating for about 20 years, it is necessary to upgrade the system for stable and efficient operation. But, there is a difficulty in maintenance by difference of manufacturer of each main control systems for boiler, turbine and generator. This developed IMCS(Integrated Monitoring and Control System) consists of more than 10,000 inputs and outputs for large scale thermal power plant. This paper consists of the development journey of IMCS MBC(mill and burner control) ; core binary protection & monitoring logic including prevention circuit of boiler explosion & implosion. In this project, the IMCS for boiler, turbine and generator was developed on basis of one communications platform. In this paper, the whole journey of development of IMCS MBC is dealt with designing software and hardware, coding application software, and validating software and hardware.