• Title/Summary/Keyword: Closed-loop observer

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Sensorless Control of Induction Motor using Adaptive FNN Controller (적응 FNN에 의한 유도전동기의 센서리스 제어)

  • Lee, Young-Sil;Lee, Jung-Chul;Lee, Hong-Gyun;Nam, Su-Myeong;Chung, Dong-Hwa
    • Proceedings of the KIEE Conference
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    • 2004.10a
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    • pp.179-181
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    • 2004
  • This paper is proposed an adaptive fuzzy-neural network(A-FNN) controller based on the vector controlled induction motor drive system. The hybrid combination of fuzzy control and neural network will produce a powerful representation flexibility and numerical processing capability. Also, this paper is proposed speed estimation of induction motor using A closed-loop state observer. The rotor position is calculated through the stator flux position and an estimated flux value of rotation reference frame. A closed-loop state observer is implemented to compute the speed feedback signal. The results of analysis prove that the proposed control system has strong robustness to rotor parameter variation, and has good steady-state accuracy and transitory response.

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A Study on the robust fault diagnosis and fault tolerant control method for the closed-loop control systems (폐회로 제어시스템의 강인한 고장진단 및 고장허용제어 기법 연구)

  • Lee, Jong-Hyo;Lyou, Joon
    • Journal of the Korea Institute of Military Science and Technology
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    • v.3 no.1
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    • pp.138-145
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    • 2000
  • This paper presents a robust fault diagnosis and fault tolerant control method for the control systems in closed-loop affected by unknown inputs or disturbances. The fault diagnostic scheme is based on the disturbance-decoupled state estimation using a 2-stage state observer for state, actuator bias and sensor bias. The estimated bias show the occurrence time, location and type of the faults directly. The estimated state is used for state feedback to achieve fault tolerant control against the faults. Simulation results show that the method has definite fault tolerant ability against actuator and sensor faults, moreover, the faults can be detected on-line, isolated and estimated simultaneously.

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Integral sliding Mode Control with High-gain Observer (고이득 관측기를 이용한 적분 슬라이딩 모드 제어)

  • Oh, Seung-Rohk;Shin, Jun-Young
    • Proceedings of the KIEE Conference
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    • 2002.11c
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    • pp.233-236
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    • 2002
  • We consider a single-input-single-output nonlinear system which can be represented in a normal form. The nonlinear system has a modeling uncertainties including the input coefficient uncertainties. A high-gain observer is used to estimate the states variables to reject a modeling uncertainty. A globally bounded output feedback integral sliding mode control is proposed to stabilize the closed loop system. The proposed integral sliding mode control can asymptotically stabilize the closed loop system in the it presence of input coefficient uncertainty.

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Sensorless Vector Control of Induction Motor with HAI Controller (HAI 제어기에 의한 유도전동기의 센서리스 벡터제어)

  • Lee, Jung-Chul;Lee, Hong-Gyun;Chung, Dong-Hwa
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.54 no.2
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    • pp.73-79
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    • 2005
  • This paper is proposed hybrid artificial intelligent (HAI) controller based on the vector controlled induction motor drive system. The hybrid combination of fuzzy control and neural network will produce a powerful representation flexibility and numerical processing capability. Also, this paper is proposed speed estimation of induction motor using a closed-loop state observer. The rotor position is calculated through the stator flux position and an estimated flux value of rotation reference frame. A closed-loop state observer is implemented to compute the speed feedback signal. The results of analysis prove that the proposed control system has strong robustness to rotor parameter variation, and has good steady-state accuracy and transitory response.

Development of sliding mode controller for robot manipulators using sliding mode observer (슬라이딩 모드 관측기를 이용한 로봇 매니퓰레이터를 위한 슬라이딩 모드 제어기의 개발)

  • 박강박;이주장
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.289-292
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    • 1997
  • In this paper, a continuous sliding mode controller for robot manipualator is proposed. The proposed scheme guarantees that the tracking error converges to zero maintaining the smoothness of the actual control signal. In order to estimate the acceleration data, a sliding mode observer is used, and the stability of the closed-loop system is shown.

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Neural Network Tracking Control of Rigid-tink Electrically-Driven Robot Manipulators (신경 회로망의 RLED 로봇 머너퓰레이터 추적 제어)

  • 정재욱
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.74-74
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    • 2000
  • This paper presents a neural network controller for a rigid-link electrically-driven robot. The proposed controller is designed in conjunction with three neural networks approximating for complicated nonlinear functions. Particularly, the fact, different from conventional schemes, is that the neural network based current observer is used. Therefore, no accurate measurement of the actuator driving current is required. In the proposed controller-observer scheme, the derived weight update rule guarantees the stability of closed-loop system in the sense of Lyapunov. The effectiveness and performance of the proposed method are demonstrated through computer simulation.

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Optimal Control for Multiple Serial Sampling Systems (다중시리얼 샘플링 시스템의 최적제어)

  • Yeon Wook Choe
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.28B no.10
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    • pp.771-782
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    • 1991
  • In industrial multivariable plants, it is ofte the case that the plant outputs are measured in similar components not simultaneously but serially. In this paper, the problem of estimating the state vector of the plant based on the data obtained from such a measuring scheme is considered, and a special type of observer(referred to as a $'$multiple serial-sampling$'$ type observer) which renews its internal states whenever a new group of data is obtained is proposed. It is proved that such an observer can be constructed for almost every sampling period if the palnt is observable as a continuous-time multivariable system, and that the poles of the closed-loop system using the multiple serial-sampling type observer consist of the poles of the observer and those of the state feedback system. The behaviors of the observer and the closed-loop system are studied by simulation. The results of simulation indicate that a multiple serial-ampling type observer can estimate the state of the plant more accurately than the ordinary type observers and improve the closed-loop performance, especially, in the existence of measuring noise.ng noise.

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High speed and accurate positioning control of robot manipulator by using disturbance observer (외란 관측기를 이용한 직접 구동형 로봇의 고속.고정도 제어)

  • 서일홍;엄광식;권기호
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.948-951
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    • 1996
  • High-speed/high-accuracy control of robot manipulator becomes more and more stringent because of the external disturbance and nonlinear characteristics. To meet this ends, lots of control strategies were proposed in the past such as the computed torque control, the nonlinear decoupled feedback control, and adaptive control. These control methods need computations of the inverse dynamics and require much computational effort. Recently, a disturbance observer with unmodeled robot dynamics and simple algorithms to motion control have been widely studied. This paper proposes a motor control strategy based on the disturbance observer which estimate the disturbance of each joint from input-output relationship of the actuator and eliminate the estimated disturbance including the torque due to modeling errors, coupling force, nonlinear friction, and so on. To apply the disturbance observer to closedloop system like velocity servo pack, the modified control structure was constructed and shown that it is equivalent to a disturbance observer in open-loop system. Finally, using the proposed approach, simulation and experiments were carried out for a two-degree-of-freedom SCARA type direct drive robot, and show some results to verify the effectiveness of the proposed algorithms.

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Guidance Law for Near Space Interceptor based on Block Backstepping Sliding Mode and Extended State Observer

  • Guo, Chao;Liang, Xiao-Geng
    • International Journal of Aeronautical and Space Sciences
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    • v.15 no.2
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    • pp.163-172
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    • 2014
  • This paper proposes a novel guidance law based on the block backstepping sliding mode control and extended state observer (ESO), which also takes into account the autopilot dynamic characteristics of the near space interceptor (NSI), and the impact angle constraint of attacking the maneuvering target. Based on the backstepping control approach, the target maneuvers and the parameter uncertainties of the autopilot are regarded as disturbances of the outer loop and inner loop, respectively. Then, the ESO is constructed to estimate the target acceleration and the inner loop disturbance, and the block backstepping sliding model guidance law is employed, based on the estimated disturbance value. Furthermore, in order to avoid the "explosion of complexity" problem, first-order low-pass filters are also introduced, to obtain differentiations of the virtual control variables. The stability of the closed-loop guidance system is also proven, based on the Lyapunov theory. Finally, simulation results demonstrate that the proposed guidance law can not only overcome the influence of the autopilot dynamic delay and target maneuvers, but also obtain a small miss distance.

A study of an Active Stick Controlling System with Friction Observer (Active Stick 제어기 개발에 관한 연구)

  • Kim, Myung-Yul;Nam, Yoon-su
    • Journal of Industrial Technology
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    • v.24 no.B
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    • pp.207-214
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    • 2004
  • An active stick which supplies force feedback to the operator is developed in this study. A mathematical model of the active stick is derived, and compared with the experimental result. It turns out that the frictional torque due to the mechanical contacts of several parts of the stick is one of the major barriers to achieve high precision operation of the stick. The frictional effect of the stick is cancelled out by using a friction observer. The efficacy of the friction observer is verified through the numerical simulation. Because of the observer dynamics, there are some limitations in exact recovering the static friction and Stribeck effect. However, the friction observer follows the real friction on the average. It's anticipated that the application of the friction observer to the closed loop control of the active stick improves the performance of the displacement versus force characteristics, which will be proved experimentally in the further study.

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