• 제목/요약/키워드: Step input control

검색결과 388건 처리시간 0.044초

Slewing maneuver control of flexible space structure using adaptive CGT

  • Shimada, Yuzo
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1995년도 Proceedings of the Korea Automation Control Conference, 10th (KACC); Seoul, Korea; 23-25 Oct. 1995
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    • pp.47-50
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    • 1995
  • This paper concerns an adaptive control scheme which is an extension of the simplified adaptive control. Originally, the SAC approach was developed based on the command generator tracker (CGT) theory for perfect model tracking. An attractive point of the SAC is that a control input can be synthesized without any prior knowledge about plant structure. However, a feedforward dynamic compensator of the CGT is removed from the basic structure of the SAC. This deletion of the compensator makes perfect model tracking difficult against even a step input. In this paper, an adaptive control system is redesigned to achieve perfect model tracking for as long as possible by reviving the dynamic compensator of the CGT. The proposed method is applied to slewing control of a flexible space structure and compared to the SAC responses.

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비선형 함대함 미사일의 적응 디지털 제어기 설계 (Adaptive and Digital Autopilot Design for Nonlinear Ship-to-Ship Missiles)

  • 임기홍;최진영
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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    • pp.619-621
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    • 2005
  • This paper proposes apractical design method for ship-to-ship missiles' autopilot. When the pre-designed analogue autopilot is implemented in digital way, theygenerally suffer from severe performance degradation and instability problem even for a sufficiently small sampling time. Also, aerodynamic uncertainties can affect the overall stability and this happens more severely when the nonlinear autopilot is digitally implemented. In order to realize a practical autopilot, two main issues, digital implementation problem and compensation for the aerodynamic uncertainties, are considered in this paper. MIMO (multi-input multi-output) nonlinear autopilot is presented first and the input and output of the missile are discretized for implementation. In this step, the discretization effect is compensated by designing an additional control input. Finally, we design a parameter adaptation law to compensate the control performance. Stability analysis and 6-DOF (degree-of-freedom) simulations are presented to verify the proposed adaptive autopilot.

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A Study on Isolated DCM Converter for High Efficiency and High Power Factor

  • Kwak, Dong-Kurl
    • Journal of Electrical Engineering and Technology
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    • 제5권3호
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    • pp.477-483
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    • 2010
  • This paper is studied on a novel buck-boost isolated converter for high efficiency and high power factor. The switching devices in the proposed converter are operated by soft switching technique using a new quasi-resonant circuit, and are driven with discontinuous conduction mode (DCM) according to pulse width modulation (PWM). The quasi-resonant circuit makes use of a step up-down inductor and a loss-less snubber capacitor. The proposed converter with DCM also simplifies the requirement of control circuit and reduces a number of control components. The input ac current waveform in the proposed converter becomes a quasi sinusoidal waveform in proportion to the magnitude of input ac voltage under constant switching frequency. As a result, it is obtained by the proposed converter that the switching power losses are low, the efficiency of the converter is high, and the input power factor is nearly unity. The validity of analytical results is confirmed by some simulation results on computer and experimental results.

유연한 단일축 로보트 팔의 위치제어 (A Study on Position control of a Flexible One-Link Robot Arm)

  • 송봉기;최종호
    • 대한전기학회논문지
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    • 제40권2호
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    • pp.200-206
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    • 1991
  • In this paper, an output feedback is used to reduce the effect of the vibration in the control of a flexible one-link robot arm. A PD control method with a time varying gain is proposed to improve the performance of the system in tip deflection and settling time for the step reference input. By making the change of feedback gain smoothly, th input torque can be made smooth. When there is a payload with unknown mass, an interpolation method which uses the inrehgrated value of the transient response of the hub angle is proposed for the estimation of teh payload mass. This method can be used when the reference input is known and we can get highly accurate estimate for the unknown payload. It is also demonstrated that flexible one-link arm can be controlled prettry accurately by an output feedback in a noisy environment without knowing the mass of the payload.

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교류 전동기의 PI 전류제어를 위한 시스템 파라미터 계측법 (Measurement strategy of a system parameters for the PI current control of the A.C. motor)

  • 최중경
    • 한국정보전자통신기술학회논문지
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    • 제16권5호
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    • pp.223-229
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    • 2023
  • 본 논문에서는 벡터제어 기법을 적용하는 교류 전동기 PI(비례-적분) 전류제어를 위한 주요 시스템 파라미터를 측정하는 방법을 제시한다. 전류제어를 위해서 PI 제어입력은 여러 선택적 방법에 의해 튜닝될 수 있다. 그 여러 방법들 중에서 주요 계통 파라미터인 권선 저항과 인덕턴스를 이용하는 방법이 빈번히 사용된다. 본 연구에서는 단순 궤환 제어의 결과들을 통해서 이 두 파라미터를 분석, 계측하는 기법을 제시한다. 이 분석적 측정 방법은 단위 계단 또는 다중 계단 기준 명령에 대해 단순 비례 궤환 이득을 이용하는 P 제어의 출력들을 분석하여 단계적으로 파라미터들을 계측해 내는 방법이다. 이 기법은 실시간적인 해석적 계측 방법으로 추가 계측 회로들 및 복잡한 계측 알고리즘들을 사용하지 않고 교류전동기의 벡터제어를 위한 토크성분과 자속성분 전류 제어이득을 같이 연산할 수 있는 방법이다.

신경회로망의 예측제어기를 이용한 보일러의 온도제어에 관한 연구 (On the Temperature Control of Boiler using Neural Network Predictive Controller)

  • 엄상희;이권순;배종일
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1995년도 하계학술대회 논문집 B
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    • pp.798-800
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    • 1995
  • The neural network predictive controller(NNPC) is proposed for the attempt to mimic the function of brain that forecasts the future. It consists of two loops, one is for the prediction of output(Neural Network Predictor) and the other one is for control the plant(Neural Network Controller). The output of NNC makes the control input of plant, which is followed by the variation of both plant error and prediction error. The NNP forecasts the future output based upon the current control input and the estimated control output. The method is applied to the control of temperature in boiler systems. The proposed NNPC is compared with the other conventional control methods such as PID controller, neural network controller with specialized learning architecture, and one-step-ahead controller. The computer simulation and experimental results show that the proposed method has better performances than the other methods.

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Co-FXLMS 알고리듬을 이용한 능동소음제어 성능의 향상 (Performance Improvement of Active Noise Control Using Co-FXLMS Algorithm)

  • 권오철;이경태;박상길;이정윤;오재응
    • 한국소음진동공학회논문집
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    • 제18권3호
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    • pp.284-292
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    • 2008
  • The active control technique mostly uses the least-mean-square(LMS) algorithm, because the LMS algorithm can easily obtain the complex transfer function in real-time, particularly when the Filtered-X LMS(FXLMS) algorithm is applied to an active noise control(ANC) system. However, FXLMS algorithm has the demerit that stability of the control is decreased when the step size become larger but the convergence speed is faster because the step size of FXLMS algorithm is fixed. As a result, the system has higher probability which the divergence occurs. Thus the Co-FXLMS algorithm was developed to solve this problem. The Co-FXLMS algorithm is realized by using an estimate of the cross correlation between the adaptation error and the filtered input signal to control the step size. In this paper, the performance of the Co-FXLMS algorithm is presented in comparison with the FXLMS algorithm. Simulation and experimental results show that active noise control using Co-FXLMS is effective in reducing the noise in duct system.

Co-FXLMS 알고리듬을 이용한 능동소음제어 성능의 향상 (Performance Improvement of Active Noise Control Using Co-FXLMS Algorithm)

  • 이해진;권오철;이정윤;오재응
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2007년도 춘계학술대회논문집
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    • pp.598-603
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    • 2007
  • The active control technique mostly uses the Least-Mean-Square (LMS) algorithm, because the LMS algorithm can easily obtain the complex transfer function in real-time, particularly when the Filtered-X LMS (FXLMS) algorithm is applied to an active noise control (ANC) system. However, FXLMS algorithm has the demerit that stability of the control is decreased when the step size become larger but the convergence speed is faster because the step size of FXLMS algorithm is fixed. As a result, the system has higher probability which the divergence occurs. Thus the Co-FXLMS algorithm was developed to solve this problem. The Co-FXLMS algorithm is realized by using an estimate of the cross correlation between the adaptation error and the filtered input signal to control the step size. In this paper, the performance of the Co-FXLMS algorithm is presented in comparison with the FXLMS algorithm. Simulation results show that active noise control using Co-FXLMS is effective in reducing the noise in duct system.

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시간최적제어 기법을 이용한 계단응답 실험시간 단축 방법 (Experimental Test Time Reduction Method for Step Responses Using the Time-Optimal Control Technique)

  • 이지태
    • Korean Chemical Engineering Research
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    • 제58권2호
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    • pp.190-196
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    • 2020
  • 공정 실험을 통하여 공정 동특성 모델을 얻는 과정은 제어시스템 설계에 있어 시간과 비용이 드는 매우 중요한 과정이다. 이를 위한 계단응답은 공정의 동특성을 이해하고 동특성 모델을 얻는 데 사용되는 오래된 하나의 정형화된 공정응답이다. 계단응답에 근거한 방법에서는 공정입력에 계단 변화를 주었을 때 나타나는 공정출력을 측정하여야 하는데, open-loop 상태로 장시간 운전해야 하는 것이 단점으로 지적된다. 이 단점을 완화하기 위하여 시간최적제어 기법을 이용하는 계단응답을 얻는 시간을 최소화 하는 방법이 제안되어 있다. 이 최적화에는 반복 계산이 필요한데, 여기서는 반복 계산이 필요 없는 방법을 제안한다. 계단응답을 위한 시간이 획기적으로 줄어드는 것을 보여주는 모사 결과들을 얻었으며, 이 방법을 제어기 자동튜닝에 응용하여 이 자동튜닝에 널리 채택되고 있는 relay feedback 자동튜닝과 비교한 모사 결과들을 제시하였다.

BOXES-based Cooperative Fuzzy Control for Cartpole System

  • Kwon, Sung-Gyu
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제7권1호
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    • pp.22-29
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    • 2007
  • Two fuzzy controllers defined by 2 input variables cooperate to control a cartpole system in terms of balancing as well as centering. The cooperation is due to the BOXES scheme that selects one of the fuzzy controllers for each time step according to the content of box that is established through the critic of the control action by the fuzzy controllers. It is found that the control scheme is good at controlling the cartpole system so that the system is stabilized fast while the BOXES develops its ability to select proper fuzzy controller through experience.