• Title/Summary/Keyword: 리아푸노프 이론

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Variable Speed Control of Wind Turbines Using Robust Fuzzy Algorithm (강인 퍼지 이론을 이용한 풍력 터빈의 가변 속도 제어)

  • Sung, Hwa-Chang;Park, Jin-Bae;Joo, Young-Hoon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.1
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    • pp.1-6
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    • 2008
  • In this paper, we present the robust fuzzy algorithm for variable speed control of wind turbines. Generally, the plants of wind turbines are consisted of complex nonlinearities, and the parameters of variable speed of wind turbines are represented as uncertain terms. For solving these complexity, we propose the robust fuzzy algorithm. At first, the exact fuzzy modeling are performed for variable speed of wind turbines. Next, we design the fuzzy controller for reanalyzed T-S fuzzy model of the wind turbines, then, we prove the stability of the plant through the Lyapunov stability theorem. At last, an example is included for visualizing the efficiency of the proposed technique.

A Family of a Decentralized Adaptive Control for Robotic Manipulators (로봇 매니퓰레이터의 분산 적응제어군)

  • Shin, Kyu-Hyeon;Lee, Yong-Yeun;Lee, Soo-Han
    • Proceedings of the KSME Conference
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    • 2004.11a
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    • pp.737-742
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    • 2004
  • In this paper, a family of decentralized adaptive controller is proposed to control robot manipulators which are governed by highly nonlinear dynamic equations. The controller is computationally efficient since it does not require mathematical model or parameter values of the manipulators. The stability of the manipulators with the controller is proved by Lyapunov theory. The results of numerical simulations show that the system is stable, and has excellent trajectory tracking performance.

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Robust Control of a Robot Manipulator with Revolute Joints (회전 관절형 로봇 매니플레이터의 강인제어)

  • 신규현;이수한
    • Journal of the Korean Society for Precision Engineering
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    • v.20 no.9
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    • pp.77-83
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    • 2003
  • In this paper, a robust controller is proposed to control a robot manipulator which is governed by highly nonlinear dynamic equations. The controller is computationally efficient since it does not require the dynamic model or parameter values of a robot manipulator. It, however, requires uncertainty bounds which are derived by using properties of revolute joint robot dynamics. The stability of the robot with the controller is proved by Lyapunov theory. The results of computer simulations show that the robot system is stable, and has excellent trajectory tracking performance.

Decentralized Adaptive Control of Robot Manipulators (로봇 매니퓰레이터의 분산 적응제어)

  • 이용연;신규현;이수한
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2003.06a
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    • pp.959-962
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    • 2003
  • In this paper, a decentralized adaptive controller is proposed to control robot manipulators which are governed by highly nonlinear dynamic equations. The controller is computationally efficient since it does not require mathematical model or parameter values of robot manipulators. The stability of the manipulators with the controller is proved by Lyapunov theory. The results of computer simulations show that the robot manipulator system is stable, and has excellent trajectory tracking performance.

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Robust Control of a Robot Manipulator with Revolute Joints (회전 관절형 로봇 매니플레이터의 강인제어)

  • 신규현;이수한
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.10a
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    • pp.435-438
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    • 2002
  • In this paper, a robust controller is proposed to control a robot manipulator which is governed by highly nonlinear dynamic equations. The controller is computationally efficient since it does not require the dynamic model or parameter values of a robot manipulator. It, however, requires uncertainty bounds which are derived by using properties of serial link robot dynamics. The stability of the robot with the controller is proved by Lyapunov theory. The results of computer simulations show that the robot system is stable, and has excellent trajectory tracking performance.

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Decentralized Adaptive Control of Robot Manipulators (로봇 매니플레이터의 분산 적응제어)

  • 이수한;이용연;신규현
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.11
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    • pp.110-116
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    • 2004
  • In this paper, a decentralized adaptive controller is proposed to control robot manipulators which are governed by highly nonlinear dynamic equations. The controller is computationally efficient since it does not require mathematical model or parameter values of robot manipulators. The stability of the manipulators with the controller is proved by Lyapunov theory. The results of numerical simulations show that the system is stable, and has excellent trajectory tracking performance.

Lyapunov Based Stability Analysis and Design of A Robust High-Gain Observer (강인한 고이득 관측기 설계 및 안정성 해석)

  • Yu, Sung-Hoon;Hyun, Chang-Ho
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.47 no.2
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    • pp.8-15
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    • 2010
  • This paper proposes a robust high-gain observer design scheme for nonlinear systems and its stability is analyzed based on Lyapunov theory. It is assumed that their states are unmeasurable. The proposed high-gain observer has the integrator of the estimation error in dynamics. It improves the performance of high-gain observers and makes the proposed observer robust to noisy measurements, uncertainties and peaking phenomenon as well. Its stability is analyzed by the Lyapunov approach. In order to verify the effectiveness of the proposed scheme, it is applied to output feedback controllers and some comparative simulation result with the existed observer based output feedback controllers and state feedback controllers is given.

Fuzzy Modeling and Stability Analysis of Wind Power System with Doubly-fed Induction Generator (이중여자 유도발전기 기반 풍력발전 시스템의 퍼지 모델링 및 안정도 해석)

  • Kim, Jin-Kyu;Joo, Young-Hoon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.22 no.1
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    • pp.56-61
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    • 2012
  • This paper propose the robust stability algorithm for controlling a variable speed wind power system which based on doubly-fed induction generator (DFIG). The control object in the wind power system enables the rotor to rotate without any physical contact by using magnetic force. Generally, the system dynamics of the wind power system has severe nonlinearity and uncertainty so that it is not easy to obtain the control objective. For solving these problems, we propose the fuzzy modelling and robust control algorithm for wind power system. The sufficient conditions for robust controller are obtained in terms of solutions to linear matrix inequalities (LMIs). Simulation results for wind power system based on DFIG are demonstrated to visualize the feasibility of the proposed method.

T-S Fuzzy-Model-Based Robust Speed Controller Design of Autonomous Underwater Vehicles (무인 잠수정의 T-S 퍼지 모델 기반 강인 속도 제어기 설계)

  • Youn, Young-Jun;Kim, Do-Wan;Lee, Ho-Jae
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.1946-1947
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    • 2011
  • 본 논문은 파라미터의 불확실성을 포함한 비선형 무인 잠수정(autonomous underwater vehicles: AUVs)의 속도 제어를 위한 강인 퍼지 제어기를 제안한다. 효율적이고 안정적인 접근을 위해 불확실성을 포함한 비선형 무인 잠수정의 속도 시스템은 타카기-수게노(Takagi-Sugeno: T-S) 퍼지 모델로 표현된다. 리아푸노프(Lyapunov) 안정도 이론을 이용하여, 무인 잠수정의 제어 성능을 보장하는 선형 행렬 부등식(linear matrix inequality: LMI) 형태의 제어기 설계 조건을 유도한다. 제안된 강인 속도 제어기 성능의 유효성을 검증하기 위해 모의실험을 수행한다.

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Vibration Control of Flexible Structures via Discrete-Time Sliding Mode Control (이산시간 슬라이딩 모드 제어를 이용한 유연 구조물의 진동제어)

  • 김명석;최승복
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 1995.04a
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    • pp.246-251
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    • 1995
  • 유연구조물의 진동제어를 위해 압전필름 작동기를 사용하였고 이와 연계하 여 샘플링 과정을 고려한 DSMC를 구성하였다. 변수변화 및 외란의 경계치 를 알고 있다는 가정하에 시스템을 이산화시킨 후 제어기를 설계하였다. 일 반적으로 연속시간 시스템의 이산화 과정에서 정합조건의 가정이 보장되지 않기 때문에 제어기 설계시 이를 배제하였다. 이산시간 리아푸노프 이론을 근거로 DSMC의 존재성을 도출하였고, 이것에 기초하여 슬라이딩 모드가 발생되도록 불연속제어기를 설계하였다. 이때, 불연속게인을 상수로 하지 않고 RP의 위치에 따라 계속 새롭게 수정함으로써 슬라이딩 영역을 최소화 하였다. 그리고 기존의 DSMC 기법상에서 발생되는 슬라이딩 영역의 문제를 .betha. 등가제어기를 이용하는 이원화 방법으로 극복하였으며, 컴퓨터 시뮬 레이션을 통하여 제안된 기법의 설계 효율성 및 제어기의 강건성을 입증하였다. 향후, 제안된 기법에 대한 실험적 고찰 및 중요 제어인자에 대한 연구가 계속적으로 수행될 예정이다.

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