• 제목/요약/키워드: Self-tuning Fuzzy Controller

검색결과 121건 처리시간 0.024초

선박의 항로추종을 위한 펴지 PID 제어기형 오토파이럿 시스템 (A Fuzzy PID Controller Type Autopilot System for Route-Tracking of Ships)

  • 김종화;하윤수;이병결
    • Journal of Advanced Marine Engineering and Technology
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    • 제30권6호
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    • pp.760-769
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    • 2006
  • This paper proposes an autopilot system using a fuzzy PID controller to satisfy performances required for the automatic navigation of ships under various marine circumstances. The existing autopilot system using a PD type controller has difficulties in eliminating a steady-state error and compensating nonlinear characteristics of ships. The autopilot system using the proposed fuzzy PID controller has a self-tuning ability, an ability to compensate nonlinear characteristics, and an ability to turn at constant angular velocity. Therefore. it can naturally make a steady-state error zero, compensate nonlinear dynamic effect of ships, have an adaptability to parameter variation owing to shallow water effect, and have an ability to turn ship's course rapidly without overshoot through procedures of acceleration, constant, and deceleration of angular velocity for large course-changing.

SOAP를 이용한 원격 퍼지 논리 제어시스템 (Remote Fuzzy Logic Control System using SOAP)

  • 이경웅;최한수
    • 제어로봇시스템학회논문지
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    • 제13권4호
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    • pp.329-334
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    • 2007
  • This paper deals with self-tuning of fuzzy control systems. The fuzzy logic controller(FLC) has parameters that an: input and output scaling factors to effect control output. Tuning method is proposed for the scaling factor. In this paper. it is studied to control and to monitor the remote system statues using SOAP for communicate between the server part and the client part. The remote control system is controlled by using a web browser or a application program. The server part is waiting for the request of client part that uses internet network for communication each other and then the request is reached. the server part saves client data to the database and send a command set to the client part and then the client part sends command to controller in a cool chamber. The administrator can control and monitor the remote system just using a web browser. The effects of membership functions, defuzzification methods and scaling factors are investigated in the FLC system.

자기조정 퍼지제어기에 의한 전력계통 안정화에 관한 연구 (Power System Stabilization using Self Tuning Fuzzy Controller)

  • 정형환;정동일;주석민;고희석
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1994년도 추계학술대회 논문집 학회본부
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    • pp.48-50
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    • 1994
  • In this paper, the optimal fuzzy controller of exciter and governor in synchronous generator improve the stability of power system with varying loads and disturbances in power system. Parameters of the proposed fuzzy controller were optimally self-tuned by the steepest descent method and were applied to power system stabilization. The related simulation results show that the proposed control technique are more powerful than the conventional ones for reductions of undershoot and for minimization of settling time.

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증기발생기 수위제어를 위한 퍼지제어기의 self-Tuning (A Self-Tuning of a Fuzzy Logic Controller for Steam Generator Water Level)

  • 나난주;정철환;권기춘
    • 한국지능시스템학회논문지
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    • 제3권4호
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    • pp.24-31
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    • 1993
  • 원전 증기발생기의 수위제어기를 퍼지제어기로 구성하는 경우 증기발생기의 단독운전이 아닌 전체발전소의 가동중에 소속함수 조정이 이루어져야 하는 제약환경을 고려할 때 많은 반복실행횟수를 필요로 하는 임의적인 시행착오방법이나 일반화되어 있지 않은 복잡한 방법보다는 보다 간단명료하고 예측가능한 조정경로를 통해 소속함수를 조정할 필요가 있다. 여기에서는 그 방안으로서 프로세스 제어응답의 최대초과량 상승시간의 합으로 평가함수를 도입하고 descent method를 이용하여 제어응답의 결과로 얻는 평가함수의 최소점을 따라 소속함수를 조정해가는 방법을 제시하였다.

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영구자석 동기전동기의 고성능 구동을 위한 적응 퍼지 속도 제어기 (Adaptive Speed Controller for high performance PMSM drive)

  • 권정진;한우용;이창구;김성중;김배선
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2001년도 하계학술대회 논문집 B
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    • pp.1188-1190
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    • 2001
  • This paper presents a clustering adaptive controller to achieve robustness against parameter variations although it has simple structure and computational simplicity. The presented controller based on optimal fuzzy logic controller has an self-tuning characteristics with clustering. The controller requires no model of the system to be controlled. Simulation results show that the usefulness of the proposed controller.

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자기학습형 퍼지제어기에 의한 유도전동기 고성능 속도제어에 관한 연구 (A Study on the High Performance Speed Control of Induction Motor Using Self-Learning Fuzzy Controller)

  • 박영민;김연충;김재문;원충연;김영렬;김학성
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1997년도 추계학술대회 논문집 학회본부
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    • pp.505-508
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    • 1997
  • In this paper, an auto-tuning method for fuzzy controller based on the neural network is presented. The backpropagated error of neural emulator offers the path which reforms the fuzzy controller's membership functions and fuzzy rule, and used for speed control of induction motor. For the torque control method, an indirect vector control scheme with slip calculation is used because of its stable characteristics regardless of speed. Motor input current is regulated by a current controlled voltage source PWM inverter using space voltage vector technique. Also, the scheme of current control fuzzy controller is synchronous reference frame with decoupling term. DSP(TMS320C31) is used to achieve the high speed calculation of the space voltage vector PWM and to build the self-learning fuzz. control algorithm. An IPM is used to simplify hardware design.

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Current Control of the Forklift using a Fuzzy Controller

  • Bae, Jong-Il
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.2552-2556
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    • 2005
  • In general, the forklift driven by DC motor drive system is used in the industrial field. Classically, the DC motor is controlled by current control using proportion control method, by output torque following the load on the plane like a manual operation. But in the industrial field, the forklift is demanded the robust drive mode. Some cases of the mode, there aretrouble in torque control following slope capacity. The control is sensitive concerning about slope angle and output speed, various control method is studied for stability of speed control. In this paper, I apply current control for the self-tuning using the fuzzy controller to obtain robust, stable speed control and use stable, high efficiency control using DSP as main controller for high speed processor, embody dynamic characteristic of control compared the PI controller to the fuzzy controller.

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Fuzzy-PID controller for motion control of CFETR multi-functional maintenance platform

  • Li, Dongyi;Lu, Kun;Cheng, Yong;Zhao, Wenlong;Yang, Songzhu;Zhang, Yu;Li, Junwei;Wu, Huapeng
    • Nuclear Engineering and Technology
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    • 제53권7호
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    • pp.2251-2260
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    • 2021
  • The motion control of the divertor maintenance system of the China Fusion Engineering Test Reactor (CFETR) was studied in this paper, in which CFETR Multi-Functional Maintenance Platform (MFMP) was simplified as a parallel robot for the convenience of theoretical analysis. In order to design the motion controller of parallel robot, the kinematics analysis of parallel robot was carried out. After that, the dynamic modeling of the hydraulic system was built. As the large variation of heavy payload on MFMP and highly nonlinearity of the system, A Fuzzy-PID controller was built for self-tuning PID controller parameters by using Fuzzy system to achieve better performance. In order to test the feasibility of the Fuzzy-PID controller, the simulation model of the system was built in Simulink. The results have showed that Fuzzy-PID controller can significantly reduce the angular error of the moving platform and provide the stable motion for transferring the divertor.

Software Bang-Bang Algorithm을 이용한 DC Motor 전류제어 (Current Control of DC Motor using Software Bang-Bang Algorithm)

  • 배종일;정동호
    • 한국기계가공학회지
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    • 제2권4호
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    • pp.88-94
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    • 2003
  • The DC motor has the strong characteristics in the speed response, the system parameter variations and the external influence and is used as the speed controller with its good starting torque in the distributing industry. However development of the Microprocessor which is for high speed switching program can make better control system. This paper introduce to design of the high-effective DC motor controller that is using Software Bang-Bang Program of Fuzzy algorithm and to verity a PI controller and a Fuzzy controller.

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미세드릴가공에 있어서 유전알고리즘과 퍼지추론의 합성에 의한 적응제어 (Adaptive Control by the Fusion of Genetic Algorithms and Fuzzy Inference on Micro Hole Drilling)

  • 백인환;정우섭;권혁준
    • 한국정밀공학회지
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    • 제12권9호
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    • pp.95-103
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    • 1995
  • Recently the trends toward reduction in size of industrial products have increased the application of micro drilling. But micro drilling has still much difficulty so that the needs for active control which give adaptation to controller are expanding. In this paper initial cutting condition was determined for some sorkpieces by experiment and GA-based Fuzzy controller was devised by genetic algorithms and fuzzy inference. The fuzzy inference has been applied to the various prob- lems. However the determination of the membership function is one of the difficult problem. So we introduce a genetic algorithms and propose a self-tuning method of fuzzy membership function. Based on this intelligent control, automation of micro drilling was carried out like the cutting process of skilled machinist.

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