• 제목/요약/키워드: real time feedback

검색결과 622건 처리시간 0.025초

이산시간 불확실 특이시스템의 유한시간 강인 산일성 상태궤환 제어기 설계 (Robust Finite-time Dissipative State Feedback Controller Design for Discrete-time Uncertain Singular Systems)

  • 김종해;오도창
    • 전기학회논문지
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    • 제64권11호
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    • pp.1598-1604
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    • 2015
  • In this paper, we treat the problem of a robust finite-time dissipative state feedback controller design method for discrete-time singular systems with polytopic uncertainties. A BRL(bounded real lemma) for finite-time stability of discrete-time singular systems is derived. A finite-time dissipative state feedback controller design method satisfying finite-time stability and dissipativity is proposed by LMI(linear matrix inequality) technique on the basis of the obtained BRL. Moreover it is shown that the obtained condition can be extended into polytopic uncertain systems by proper manipulations. Finally, illustrative examples are given to show the applicability of the proposed method.

메시지 지연시간을 고려한 CAN 기반 피드백 제어시스템의 응답특성 분석 (Analysis of Response Characteristics of CAN-Based Feedback Control System Considering Message lime Delays)

  • 전종만;김대원
    • 대한전기학회논문지:시스템및제어부문D
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    • 제51권5호
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    • pp.190-196
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    • 2002
  • In this paper, the response characteristics of CAN-based feedback control system are analyzed when message time delays through the network are considered. The message time delays are composed of computation time delay and communication time delay. The application layer of CAN communication is modeled mathematically to analyze two time delays, and the communication time delay is redefined under several assumption conditions. The CAN-based feedback control system is proposed as a target system that is the machining system with the three axes. The response characteristics of time delays in the proposed system are analyzed through computer simulations, and can be improved by the compensation using the PID tuning method to satisfy the design specifications of the system.

매니퓰레이터의 실시간 적응제어 (Real time Adaptive control of the Manipulator)

  • 정찬수;이상철;나채둥;구춘근
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1991년도 하계학술대회 논문집
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    • pp.771-776
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    • 1991
  • In this paper. an indirect adaptive controller for manipulator which is composed of two controller structure is considered. One is feedforward controller in which the dynamics equation solved and the other is feedback controller in which the output error compensated. This controller has a good performance, but the computation burden of the feed forward controller keep from real time control. At this point, we proposed the two time adaptive controller where the sampling time of the feedforward controller is quite longer than that of the feedback controller. By the computer simulation, this proposed two time adaptive controller shows good performance in the view of accuracy in spite of decreasing computational burden.

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무선 가속도센서 시스템을 이용한 건축물의 실시간 피드백 진동제어 - 시스템 구축 및 기초성능 평가 - (Real-time Feedback Vibration Control of Structures Using Wireless Acceleration Sensor System - System Design and Basic Performance Evaluation -)

  • 전준용;박기태;이진옥;허광희;이우상
    • 한국구조물진단유지관리공학회 논문집
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    • 제17권2호
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    • pp.21-32
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    • 2013
  • 본 논문에서는 건축물의 실시간 피드백 진동제어를 위한 기초연구로써, 자체 기술력을 바탕으로 개발된 무선 가속도센서 시스템 및 프로토타입 (Prototype) AMD 시스템을 결합하여 피드백 진동제어 시스템을 구성하고, 모형 건축물을 대상으로 구성된 제어시스템의 기초성능을 평가하고자 하였다. 이를 위하여 본 논문에서는 우선 MEMS 센서 소자 및 블루투스 통신 모듈 기반의 무선 가속도 센서 유닛, 실시간 가속도 응답획득 및 제어법칙에 근거한 제어출력을 구현하도록 구성한 운영프로그램 등을 개발하였다. 또한 AC 서보모터를 이용해 기동되도록 설계한 프로토타입 AMD 및 모터 드라이버 시스템을 구성하였다. 마지막으로 이를 이용해 실시간 피드백 진동제어 시스템을 구성하였고, 2층 모형 건축물을 대상으로 실험실 규모의 진동제어 실험을 수행하여 목적된 구조물의 진동저감 효과를 정량적으로 분석하였다. 실험의 결과, 모형 구조물의 1차 및 2차 공진주파수 그리고 랜덤주파수 등의 실험조건에서 명확한 진동저감의 효과를 확인할 수 있었으며, 종국적으로 본 논문에서 개발한 무선 가속도센서 시스템 및 AMD 시스템이 향후 여타 구조물의 진동제어를 위한 효과적인 수단으로 응용될 수 있는 가능성을 확인하였다.

실시간 압력정보 제공 진동 촉각 피드백이 만성 뇌졸중 환자의 정적균형능력과 체중 지지율에 미치는 영향 - 예비실험연구 (Effects of Vibrotactile Bio-Feedback Providing Pressure Information in Real Time on Static Balance and Weight Bearing Rate in Chronic Stroke Patients - Pilot Study)

  • 길기수;김호;신원섭
    • 대한통합의학회지
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    • 제9권1호
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    • pp.41-48
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    • 2021
  • Purpose : The purpose of this study is to find out if it helps to improve static balance ability and weight bearing rate for chronic stroke patients with poor balance in clinical intervention through a method of correcting movement errors while performing a task by vibrotactile bio-feedback providing pressure information. Methods : Fifteen chronic stroke patients (12 male and 3 female) were participated in this study. To examine the effects of vibrotactile bio-feedback and general standing without bio-feedback on static balance ability and weight distribution symmetric index in all subjects randomized with R Studio. The static balance ability and weight distribution symmetric index of the participants was evaluated using a force plate. A paired t-test was used for comparison of each conditions. Statistical significance was set at α=0.05. Results : The comparisons of static balance ability and weight distribution symmetric index in chronic stroke patients after two different condition are as follows. In the static balance ability and weight distribution symmetric index, the vibrotactile feedback providing pressure information showed a significant difference compared to none feedback (p<.001). Conclusion : The vibrotactile bio-feedback providing pressure information in real time can support an improve in static balance ability, uniform weight bearing rehabilitation in chronic stroke patients. In the future, it is hoped that a follow-up study that provides a better direction of intervention compared to various feedback interventions commonly used in clinical practice.

A model-based adaptive control method for real-time hybrid simulation

  • Xizhan Ning;Wei Huang;Guoshan Xu;Zhen Wang;Lichang Zheng
    • Smart Structures and Systems
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    • 제31권5호
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    • pp.437-454
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    • 2023
  • Real-time hybrid simulation (RTHS), which has the advantages of a substructure pseudo-dynamic test, is widely used to investigate the rate-dependent mechanical response of structures under earthquake excitation. However, time delay in RTHS can cause inaccurate results and experimental instabilities. Thus, this study proposes a model-based adaptive control strategy using a Kalman filter (KF) to minimize the time delay and improve RTHS stability and accuracy. In this method, the adaptive control strategy consists of three parts-a feedforward controller based on the discrete inverse model of a servohydraulic actuator and physical specimen, a parameter estimator using the KF, and a feedback controller. The KF with the feedforward controller can significantly reduce the variable time delay due to its fast convergence and high sensitivity to the error between the desired displacement and the measured one. The feedback control can remedy the residual time delay and minimize the method's dependence on the inverse model, thereby improving the robustness of the proposed control method. The tracking performance and parametric studies are conducted using the benchmark problem in RTHS. The results reveal that better tracking performance can be obtained, and the KF's initial settings have limited influence on the proposed strategy. Virtual RTHSs are conducted with linear and nonlinear physical substructures, respectively, and the results indicate brilliant tracking performance and superb robustness of the proposed method.

A Study on the Development of Adaptive Learning System through EEG-based Learning Achievement Prediction

  • Jinwoo, KIM;Hosung, WOO
    • 4차산업연구
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    • 제3권1호
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    • pp.13-20
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    • 2023
  • Purpose - By designing a PEF(Personalized Education Feedback) system for real-time prediction of learning achievement and motivation through real-time EEG analysis of learners, this system provides some modules of a personalized adaptive learning system. By applying these modules to e-learning and offline learning, they motivate learners and improve the quality of learning progress and effective learning outcomes can be achieved for immersive self-directed learning Research design, data, and methodology - EEG data were collected simultaneously as the English test was given to the experimenters, and the correlation between the correct answer result and the EEG data was learned with a machine learning algorithm and the predictive model was evaluated.. Result - In model performance evaluation, both artificial neural networks(ANNs) and support vector machines(SVMs) showed high accuracy of more than 91%. Conclusion - This research provides some modules of personalized adaptive learning systems that can more efficiently complete by designing a PEF system for real-time learning achievement prediction and learning motivation through an adaptive learning system based on real-time EEG analysis of learners. The implication of this initial research is to verify hypothetical situations for the development of an adaptive learning system through EEG analysis-based learning achievement prediction.

The Effect of Visual Feedback Bicycle Training on Maximal Oxygen Uptake, Quadriceps Muscle Strength, and Running Performance in Healthy Young Adults

  • Kim, Hyeonguk;Lee, Seungwon;Choi, Wonjae
    • Physical Therapy Rehabilitation Science
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    • 제11권1호
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    • pp.58-65
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    • 2022
  • Objective: The purpose of this study was to investigate the effect of visual feedback bicycle training on running performance, maximal oxygen uptake and quadriceps muscle strength. Design: A randomized controlled trial. Methods: Fifteen healthy adult men with no musculoskeletal or nervous system disease and capable of bicycle training were included. After the pretest, subjects were randomly assigned to visual feedback bicycle training group and general fixed bicycle training group. Both groups were trained two times a week for three weeks, each week for a fixed time and number of repetitions, followed by a six week washout period and then crossing the training method. visual feedback bicycle training provides visual feedback of heart rate in real time using a monitor and a heart rate meter during bicycle training, and general fixed bicycle training performed general bicycle training without visual feedback. After training, each item was measured using a wearable technology, gas analyzer, isokinetic equipment. Results: The results of this study was significant differences in running performance, maximal oxygen uptake and quadriceps muscle strength in visual feedback bicycle training group (p<0.05). The differential effect was found between visual feedback bicycle training group and general fixed bicycle training group in running performance, maximal oxygen uptake, and quadriceps muscle strength (p<0.05). Conclusions: This study suggested that that visual feedback bicycle training can be applied as a useful training method to improve running performance, maximal oxygen uptake and quadriceps muscle strength.

Experimental verification of leverage-type stiffness-controllable tuned mass damper using direct output feedback LQR control with time-delay compensation

  • Chu, Shih-Yu;Yeh, Shih-Wei;Lu, Lyan-Ywan;Peng, Chih-Hua
    • Earthquakes and Structures
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    • 제12권4호
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    • pp.425-436
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    • 2017
  • Vibration control using a tuned mass damper (TMD) is an effective technique that has been verified using analytical methods and experiments. It has been applied in mechanical, automotive, and structural applications. However, the damping of a TMD cannot be adjusted in real time. An excessive mass damper stroke may be introduced when the mass damper is subjected to a seismic excitation whose frequency content is within its operation range. The semi-active tuned mass damper (SATMD) has been proposed to solve this problem. The parameters of an SATMD can be adjusted in real time based on the measured structural responses and an appropriate control law. In this study, a stiffness-controllable TMD, called a leverage-type stiffness-controllable mass damper (LSCMD), is proposed and fabricated to verify its feasibility. The LSCMD contains a simple leverage mechanism and its stiffness can be altered by adjusting the pivot position. To determine the pivot position of the LSCMD in real time, a discrete-time direct output-feedback active control law that considers delay time is implemented. Moreover, an identification test for the transfer function of the pivot driving and control systems is proposed. The identification results demonstrate the target displacement can be achieved by the pivot displacement in 0-2 Hz range and the control delay time is about 0.1 s. A shaking-table test has been conducted to verify the theory and feasibility of the LSCMD. The comparisons of experimental and theoretical results of the LSCMD system show good consistency. It is shown that dynamic behavior of the LSCMD can be simulated correctly by the theoretical model and that the stiffness can be properly adjusted by the pivot position. Comparisons of experimental results of the LSCMD and passive TMD show the LSCMD with less demand on the mass damper stroke than that for the passive TMD.

터보 젯 엔진을 위한 강인성 궤환 제어기의 설계 : 시간영역 해석 (Design of Robust Feedback Controller for Turbo let Engine : Time Domain Approach)

  • 손영창;김승우;지원호
    • 한국추진공학회지
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    • 제2권2호
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    • pp.38-46
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    • 1998
  • 본 연구에서는 강인성 제어의 한 분야인 LQG용 observer를 이용한 단축 터보 젯 엔진의 RPM 속도제어에 대하여 이론을 전개하고 실제 엔진 모델에 대한 시뮬레이션을 실시하였다. 일반적인 시불변 선형연속 시스템에 대하여 상태 출력 궤환 제어기를 설계하여 asymptotic stability를 얻기 위한 충분 조건을 도출하고, 다음으로 실제 터보 젯 엔진으로부터 구한 시스템 모델에 대하여 observer를 이용하여 추적 제어를 실시하였다. 실제 엔진과 더 가까운 상황을 재현하기 위해 제어 입력부의 saturation을 함께 고려하였다.

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