• 제목/요약/키워드: Control technique

검색결과 8,519건 처리시간 0.038초

The Effect of Proprioceptive Neuromuscular Facilitation Wrist Taping and Rhythmic Stabilization Technique on Pain and Grip Strength in Badminton Players with Wrist Pain

  • Song, Myung-Soo;Kang, Jeong-Il;Kim, Beom-Ryong
    • PNF and Movement
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    • 제16권1호
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    • pp.85-92
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    • 2018
  • Purpose: We sought to examine whether using the rhythmic stabilization (RS) technique before proprioceptive neuromuscular facilitation (PNF) wrist taping affected pain and grip strength in patients with wrist pain to provide a basis for the application of PNF taping. Methods: The study consisted of 41 badminton enthusiasts (aged 20-40 years) who reported discomfort and pain due to overuse of their wrists. The subjects were randomly assigned to an experimental group (n=20) or a control group (n=21). In the experimental group, PNF wrist taping was applied after application of the PNF RS technique, and PNF wrist taping was applied after stretching in the control group. The tape was applied five times a week for 3 weeks. Pain was measured using the visual analog scale (VAS). Grip strength was measured using a dynamometer. The paired t-test was performed to compare grip strength and pain within the groups before and after the intervention. Covariance analysis was conducted to compare differences between the experimental group and control group. The level of significance was set as ${\alpha}=0.05$. Results: Within-group changes in grip strength and VAS were significantly different in the control group and experimental group (p<0.01). Grip strength and VAS showed more improvement in the experimental group than in the control group (p<0.01). Conclusion: PNF wrist taping after stretching and the PNF RS technique both significantly reduced pain and improved grip strength in club badminton players with wrist pain. These improvements were significantly greater in the experimental group in which the PNF RS technique was applied. The results suggest that PNF may be considered useful to improve grip strength and reduce wrist pain.

BF 컨버터의 역률 개선에 관한 연구 (A study on the power factor improvement of the Boost Forward Converter)

  • 임승하
    • 전자공학회논문지T
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    • 제36T권3호
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    • pp.56-63
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    • 1999
  • 본 논문에서는 BF 컨버터의 Active PFC 시스템을 구성하고, 전력 변환시 입력 전류를 전원 전압과 동상인 정현파로 제어하며 직류 출력 전압을 제어하기 위한 PWM-PFM 제어 기법을 사용하여 역률을 개선하였다. FET와 IGBT를 이용하여 본 논문에서 제시한 Boost 컨버터와 인버터 회로를 구성하였고, 제안된 Boost 컨버터의 제어 회로는 마이크로프로세서 80C196으로 구성하였다. 또한 입력 전압이 30V이고, Boost 인덕터가 1.1 mH일 때 정격 출력은 전압 50V, 전류 IA, 듀티비 (Duty Ratio) 0.5 이상으로 하였다. 부하 저항의 변화에 따른 전압 변화를 PWM-PFM 제어 기법을 이용하여 제어하였고, 전류 성형 기법을 이용하여 역률이 0.96 가지 개선됨을 실험으로써 입증하였다.

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신경회로망 동정기법에 기초한 HIA 적응 PID 제어기를 이용한 AGV의 주행제어에 관한 연구 (A Study on Driving Control of an Autonomous Guided Vehicle using Humoral Immune Algorithm Adaptive PID Controller based on Neural Network Identifier Technique)

  • 이영진;서진호;이권순
    • 한국정밀공학회지
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    • 제21권10호
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    • pp.65-77
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    • 2004
  • In this paper, we propose an adaptive mechanism based on immune algorithm and neural network identifier technique. It is also applied fur an autonomous guided vehicle (AGV) system. When the immune algorithm is applied to the PID controller, there exists the case that the plant is damaged due to the abrupt change of PID parameters since the parameters are almost adjusted randomly. To solve this problem, we use the neural network identifier (NNI) technique fur modeling the plant and humoral immune algorithm (HIA) which performs the parameter tuning of the considered model, respectively. After the PID parameters are determined in this off-line manner, these gains are then applied to the plant for the on-line control using an immune adaptive algorithm. Moreover, even though the neural network model may not be accurate enough initially, the weighting parameters are adjusted to be accurate through the on-line fine tuning. Finally, the simulation and experimental result fur the control of steering and speed of AGV system illustrate the validity of the proposed control scheme. These results for the proposed method also show that it has better performance than other conventional controller design methods.

열차제어기술 체계화 방안에 대한 연구 (A Study of Systematization for Train Control Technique)

  • 이재호;신덕호;이강미
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2009년도 춘계학술대회 논문집
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    • pp.2010-2016
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    • 2009
  • Before introducing high speed train, train signal system was operated passively depending on a driver by signal lamp display. Now it is changing to onboard signaling system because of train speed increased(conventional track is 230km/h, high speed track is 380km/h), high speed. low speed freight train operation mixed, operation for high speed train in conventional track and dense operation. ie. ETCS(European Train Control System) Level 1 is introducing. Also, in case of high speed train, the train control system of France was introduced and has operated from 2004, now we have a difficulty for rising speed more than 300km/h because of commercial operation speed limited as 300km/h. Therefore, it need to establish the train control technique according to trackside surroundings and develope standard system like European ERTMS/ETCS, China CTCS(Chinese Train Control System), Japan D-ATC(Digital Automatic Train Control). In this paper, we derive the systematization method for Korea train technique by network-oriented, information-oriented, intelligence-oriented and combination-oriented corresponding train development direction. Proposed method has a merit to prevent cross by mixed operation with existing system and improvement after validity demonstration and system development and supply train system to meet user requirement in exporting.

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헬리콥터 시스템의 퍼지 분산 제어기 설계 (A Decentralized Control Technique for Experimental Nonlinear Helicopter Systems)

  • 김문환;박진배;이호재;차대범;주영훈
    • 한국지능시스템학회논문지
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    • 제12권1호
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    • pp.80-84
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    • 2002
  • 본 논문은 2자유도 실험용 헬리콥터 시스템의 제어를 위한 분산 제어기 설계 기법을 제안한다. 분산제어기법은 특히 대규모 제어 시스템에 적합하다고 알려져 있다. 본 논문에서는 Lyapunov 안정도 설계 방법을 이용하여 상호 연결된 TS 퍼지 시스템의 안정도 조건을 유도하고 선형 행렬 부등식을 이용하여 제어기 설계 조건을 공식화한다. 제안된 방법의 유용성을 검증하기 위해, 컴퓨터 시뮬레이션뿐 만 아니라 실험을 통해 그 결과를 도출한다.

1-최적제어를 이용한 컨테이너 크레인의 운전 (Operation of Container Cranes Using ℓ1-Optimal Control)

  • 김영한;장상목
    • 한국항해항만학회지
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    • 제29권5호
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    • pp.409-413
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    • 2005
  • 컨테이너 크레인의 제어방법에 관한 기존 연구는 피제어 변수의 최종목표치의 오차를 최소화하는 목적함수를 사용하여 제어계산을 하였기 때문에 계산에서 얻어진 입력은 실제 운전에 적합하지 않은 과도한 변화를 가지게 되었다. 본 연구에서는 컨테이너 크레인의 비선형 모델을 사용하여 4차 Chevyshev 함수로 근사한 제어입력을 계산하는 새로운 제어계산 방법을 제안하였다. 제어 목적식은 편차의 절대치의 합을 최소화하도록 구성하였고 최적화 계산에는 심플렉스 알고리듬을 활용하였다. 본 제안의 제어방법으로 계산된 제어 입력과 출력을 기존의 제어방식으로 계산된 결과와 비교하여 본 제안의 제어방식의 결과가 기존 제어방식에 비해 안정된 컨테이너 크레인 운전성능을 보였다.

Sensorless Control of a PMSM at Low Speeds using High Frequency Voltage Injection

  • Yoon Seok-Chae;Kim Jang-Mok
    • Journal of Power Electronics
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    • 제5권1호
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    • pp.11-19
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    • 2005
  • This paper describes the two control techniques to perform the sensorless vector control of a PMSM by injecting the high frequency voltage to the stator terminal. The first technique is the estimation algorithm of the initial rotor position. A PMSM possesses the saliency which produces the ellipse of the stator current when the high frequency voltage is injected into the motor terminal. The major axis angle of the current ellipse gives the rotor position information at a standstill. The second control technique is a sensorless control algorithm that injects the high frequency voltage to the stator terminal in order to estimate the rotor position and speed. The rotor position and speed for sensorless vector control is calculated by appropriate signal processing to extract the position information from the stator current at low speeds or standstill. The proposed sensorless algorithm using the double-band hysteresis controller exhibits excellent reference tracking and increased robustness. Experimental results are presented to verify the feasibility of the proposed control schemes. Speed, position estimation and vector control were carried out on the floating point processor TMS320VC33.

모델 불확실성을 가지는 로봇 시스템을 위한 지능형 슬라이딩 모드 제어 (Intelligent Sliding Mode Control for Robots Systems with Model Uncertainties)

  • 유성진;최윤호;박진배
    • 제어로봇시스템학회논문지
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    • 제14권10호
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    • pp.1014-1021
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    • 2008
  • This paper proposes an intelligent sliding mode control method for robotic systems with the unknown bound of model uncertainties. In our control structure, the unknown bound of model uncertainties is used as the gain of the sliding controller. Then, we employ the function approximation technique to estimate the unknown nonlinear function including the width of boundary layer and the uncertainty bound of robotic systems. The adaptation laws for all parameters of the self-recurrent wavelet neural network and those for the reconstruction error compensator are derived from the Lyapunov stability theorem, which are used for an on-line control of robotic systems with model uncertainties and external disturbances. Accordingly, the proposed method can not only overcome the chattering phenomenon in the control effort but also have the robustness regardless of model uncertainties and external disturbances. Finally, simulation results for the five-link biped robot are included to illustrate the effectiveness of the proposed method.

확률제어기의 실시간 적용을 위한 연구 (A Study of Realizing Technique for Stochastic Controller)

  • 김용관;이종복;윤영수;최원석;허훈
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2002년도 춘계학술대회 논문집
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    • pp.215-218
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    • 2002
  • A control strategy for a dynamic system under irregular disturbance by using stochastic controller is developed. In order to design stochastic controller, system dynamic model in real domain i transformed dynamic moment equation in stochastic domain by F-P-K approach. A study of real time control technique four stochastic controller is performed in this paper.

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시간 지연 상호 연계를 가진 비선형 시스템의 분산 적응 제어: 지능적인 접근법 (Decentralized Adaptive Control for Nonlinear Systems with Time-Delayed Interconnections: Intelligent Approach)

  • 유성진;박진배
    • 제어로봇시스템학회논문지
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    • 제15권4호
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    • pp.413-419
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    • 2009
  • A decentralized adaptive control method is proposed for large-scale systems with unknown time-delayed nonlinear interconnections unmatched in control inputs. It is assumed that the time-delayed interaction terms are bounded by unknown nonlinear bounding functions. The nonlinear bounding functions and uncertain nonlinear functions of large-scale systems are compensated by the function approximation technique using neural networks. The dynamic surface control method is extended to design the proposed memoryless local controller for each subsystem of uncertain nonlinear large-scale time delay systems. Therefore, although the interconnected systems consist of a large number of subsystems, the proposed controller can be designed simply. We prove that all the signals in the total closed-loop system are semiglobally uniformly bounded and the control errors converge to an adjustable neighborhood of the origin. Finally, an example is given to demonstrate the effectiveness and applicability of the proposed scheme.