• Title/Summary/Keyword: feedback control scheme

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Robust State Feedback Control of Asynchronous Machines with Intermittent Faults (간헐 고장이 존재하는 비동기 머신의 견실한 상태 피드백 제어)

  • Yang, Jung-Min
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.48 no.3
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    • pp.40-47
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    • 2011
  • This paper addresses the problem of fault detection and tolerance for asynchronous sequential machines using state feedback control. The considered asynchronous machine is affected by intermittent faults. When intermittent faults occur, the machine undergoes unauthorized state transitions and, for a finite duration, remains at the fault state, not responding to the change of the external input. In this paper, we postulate the scheme of detecting intermittent faults and present the existence condition and design algorithm for a robust state feedback controller that overcomes the adversarial effect of intermittent faults. We also undertake a comparative study between the previous control scheme for transient faults and the present strategy for intermittent faults. The design procedure for the proposed controller is described in a case study.

A Robust Visual Feedback Control with Integral Compensation for Robot Manipulators (적분 보상을 포함하는 로봇 매니퓰레이터의 시각 궤환 강인 제어)

  • Lee Kang-Woong;Jie Min-Seok
    • Journal of Institute of Control, Robotics and Systems
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    • v.12 no.3
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    • pp.294-299
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    • 2006
  • This paper studies a visual feedback control scheme for robot manipulators with camera-in-hand configurations. We design a robust controller that compensates for bounded parametric uncertainties of robot mechanical dynamics. In order to reduce steady state tracking error of the robot arms due to uncertain dynamics, integral action is included in the control input. Using the Lyapunov stability criterion, the uniform ultimate boundedness of the tracking error is proved. Simulation and experimental results with a 2-1ink robot manipulator illustrate the robustness and effectiveness of the proposed control algorithm.

A Distributed Constrained Power Control with Variable State Feedback Gain in CDMA Cellular Systems (가변 상태궤환 이득을 이용한 CDMA 셀룰라 시스템의 제한된 분산전력제어)

  • 이무영;오도창;권우현
    • Journal of Institute of Control, Robotics and Systems
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    • v.9 no.12
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    • pp.1065-1070
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    • 2003
  • We present a power control with variable state feedback gain (VFPC) to improve outage convergence rate of distributed constrained power control. The variable state feedback gain includes the information of the desired SIR changes and must be a decreasing sequence for the convergence. The proof of the convergence is given. The proposed algorithm can improve the outage convergence rate and SIR (Signal to Interference Ratio) response at transient as well as at steady state. The simulation results are given to demonstrate the feasibility of the proposed scheme.

A Learning Controller for Repetitive Gate Control of Biped Walking Robot (이족 보행 로봇의 반복 걸음새 제어를 위한 학습 제어기)

  • 임동철;국태용
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.538-538
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    • 2000
  • This paper presents a learning controller for repetitive gate control of biped robot. The learning control scheme consists of a feedforward learning rule and linear feedback control input for stabilization of learning system. The feasibility of teaming control to biped robotic motion is shown via dynamic simulation with 12 dof biped robot.

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Safety Enhancement of Teleoperation using Haptic Control (햅틱 제어에 의한 원격작업의 안전성 향상)

  • Kim, Yun Bae;Choi, Gi Sang;Choi, Gi Heung
    • Journal of the Korean Society of Safety
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    • v.28 no.4
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    • pp.19-25
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    • 2013
  • For safe remote control, information on remote environment has to be delivered to operator realistically, and there have been numerous research efforts on this respect. Among them, haptic technology can significantly enhance safety and overall effectiveness of remote operation by delivering various kinds of information on virtual or real environment to operator. In this study, remote control based on haptic feedback is applied to control of mobile robot moving according to the command from operator avoiding collision with environmental obstacles and maintaining safe distance from them using ultrasonic sensors. Specifically, a remote feedback control structure for mobile robot is proposed. The controller is based on the inner feedback loop that directly utilizes information on distance to obstacles, and the outer feedback loop that the operator directly commands using the haptic device on which the computed reaction force based on the distance information is acting. Effectiveness of the proposed remote control scheme using double feedback loops is verified through a series of experiments on mobile robot.

Application of the Goore Scheme to Turbulence Control for Drag Reduction(II)-Application to Turbulence Control-

  • Lee, Chang-Hun;Kim, Jun
    • Journal of Mechanical Science and Technology
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    • v.15 no.11
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    • pp.1580-1587
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    • 2001
  • In Part I, we extended the capability of the Goore Scheme for application to multi-dimensional problems and improved convergence performance. In this paper, we apply the improved Goore Scheme to th e control of turbulence for drag reduction. Direct numerical simulations combined with the control scheme are carried out to simulate a controlled turbulent channel flow at low Reynolds number. The wall blowing and suction is applied through the Goore algorithm using the total drag as feedback. An optimum distribution of the wall blowing and suction in terms of the wall-shear stresses in the spanwise and streamwise directions is sought. The best case reduces drag by more than 20 %.

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Robust Stabilization of Uncertain Nonlinear Systems via Fuzzy Modeling and Numerical Optimization Programming

  • Lee Jongbae;Park Chang-Woo;Sung Ha-Gyeong;Lim Joonhong
    • International Journal of Control, Automation, and Systems
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    • v.3 no.2
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    • pp.225-235
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    • 2005
  • This paper presents the robust stability analysis and design methodology of the fuzzy feedback linearization control systems. Uncertainty and disturbances with known bounds are assumed to be included in the Takagi-Sugeno (TS) fuzzy models representing the nonlinear plants. $L_2$ robust stability of the closed system is analyzed by casting the systems into the diagonal norm bounded linear differential inclusions (DNLDI) formulation. Based on the linear matrix inequality (LMI) optimization programming, a numerical method for finding the maximum stable ranges of the fuzzy feedback linearization control gains is also proposed. To verify the effectiveness of the proposed scheme, the robust stability analysis and control design examples are given.

A Feedback Control System for Suppressing Crane Oscillations with On-Off Motors

  • Hekman, Keith A.;Singhose, William E.
    • International Journal of Control, Automation, and Systems
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    • v.5 no.3
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    • pp.223-233
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    • 2007
  • Crane payloads frequently swing with large amplitude motion that degrades safety and throughput. Open-loop methods have addressed this problem, but are not effective for disturbances. Closed-loop methods have also been used, but generally require the speed of the driving motors to be precisely controlled. This paper develops a feedback control method for controlling motors to cancel the measured payload oscillations by intelligently timing the ensuing on and off motor commands. The effectiveness of the oscillation suppression scheme is experimentally verified on an industrial bridge crane.

Robust Low-complexity Design for Tracking Control of Uncertain Switched Pure-feedback Systems with Unknown Control Direction (미지의 방향성을 갖는 불확실한 스위치드 순궤환 시스템의 추종 제어를 위한 강인 저 복잡성 설계)

  • Lee, Seung-Woo;Yoo, Sung-Jin
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.1
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    • pp.153-158
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    • 2017
  • This paper investigates a robust low-complexity design problem for tracking control of uncertain switched pure-feedback systems in the presence of unknown control direction. The completely unknown non-affine nonlinearities are assumed to be arbitrarily switched. By combining the nonlinear error transformation technique and Nussbaum-type functions, a robust tracking controller is designed without using any adaptive function approximators. Thus, compared with existing results, the proposed control scheme has the low-complexity property. From Lyapunov stability theory, it is shown that the tracking error remains within the preassigned transient and steady-state error bounds.

ADAPTIVE PI FUZZY CONTROLLER FOR INDUCTION MOTOR USING FEEDBACK LINEARIZING METHOD

  • Motlagh, Muhammad Reza Jahed;Hajatipour, Majid
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.514-518
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    • 2005
  • In this paper an adaptive fuzzy PI controller with feedback linearizing meth od is implemented to controlling flux and torque separately in induction motor. In this paper first decoupling of torque and flux which are outputs to be controlled, is achieved by using feedback linearization methodology. Then for reducing the effect of noise and rejection of disturbance, main part of controller which is adaptive PI fuzzy controller, is designed. Coefficients of PI controller are determined by defined fuzzy rules due to error dynamic. Inputs of fuzzy system are defined sliding surfaces which consist of torque and flux errors. The main contribution of this paper is effect reduction of noise and disturbance on torque and flux which is based on fuzzy logic and nonlinear control. At last the effectiveness of the proposed control scheme in presence of noise and load disturbance is simulated and comprised to applying sliding method. The results verify better effectiveness of the proposed method for effect reduction of noise and disturbance.

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