• 대한물리의학회지
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• 제8권4호
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• pp.559-566
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• 2013

PURPOSE: The present study examines how feedback respiratory exercise affects gait performance of stroke patients. METHODS: Forty stroke patients were randomly divided into an experiment group and a control group. For the former group, patients went through a half-hour of training therapy and a half-hour of feedback respiratory device exercise. For the latter group, patients went through 30 minutes of training therapy and a half-hour of motomed exercise. All participants had five training sessions each week for four weeks. For measurement, a GAITRite system was used to examine spatial parameters, and functional ambulation performance before and after the training. RESULT: In terms of spatial parameters, double support ratio, stance phase increased significantly in the experiment group after the walking exercise(p<.05). FAP rose more significantly in the experiment group than in the control group(p<.05). In comparison of two exercise groups, double support ratio, Stance phase, gait velocity, FAP was significant difference(p<.05). CONCLUSION: The experiment results showed that feedback respiratory exercise is effective in enhancing gait performance.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.1169-1172
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• 1996

A time-optimal control law for quick, strongly nonlinear systems has been developed and demonstrated. This procedure involves the utilization of neural networks as state feedback controllers that learn the time-optimal control actions by means of an iterative minimization of both the final time and the final state error for the known and unknown systems with constrained inputs and/or states. The nature of neural networks as a parallel processor would circumvent the problem of "curse of dimensionality". The control law has been demonstrated for a velocity input type motor identified by a genetic algorithm called GENOCOP.

• 전자공학회논문지SC
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• 제41권3호
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• pp.17-24
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• 2004

동일한 작업을 반복하여 수행하는 불확실한 로봇 시스템을 위한 P형 반복 학습 제어기를 제안한다. 제안된 반복 학습 제어기는 조인트 위치 오차로 구성되는 선형 피드백 제어기와 현재의 조인트 속도 오차로 갱신되는 피드포워드 및 피드백 학습 제어기로 구성된다. 반복 작업 동작이 계속 진행됨에 따라 조인트 위치와 속도 오차는 균일하게 0으로 수렴한다. 반복 횟수에 따라 변화하는 학습 이득을 채택함으로서 반복 횟수 영역에서 임의적으로 수렴 비율을 조절할 수 있는 조인트 위치, 속도 오차한계를 제시하고, 조인트 위치와 속도 오차는 그 한계 내에서 반복 횟수 영역에서 0으로 수렴한다. 기존의 P형 반복 학습 제어기와는 달리 제안된 반복 학습 제어 알고리즘은 학습 이득을 적절하게 설계함으로써 반복 횟수 영역에서 오차 수렴 비율의 분석과 조정을 가능하게 하는 장점이 있다.

• 전기학회논문지
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• 제67권7호
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• pp.840-845
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• 2018

BLDC motor is widely used as a servo motor due to high efficiency, high power density, low inertia, and low maintenance. However, BLDC motor generally needs position and velocity sensors to control actuation system. Usually, analog tachometers and encoders have been used for velocity feedback sensors. However, using these types of sensors have problems such as the cost, space, and malfunction. So, This paper is to propose a new velocity measurement method using linear hall-effect and enhanced differentiator for BLDC motor. In order to verify the feasibility of the proposed method, several simulations and experiments are performed. It is shown that the proposed velocity measurement method can satisfy the requirements without using of velocity sensor.

• 대한물리의학회지
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• 제10권4호
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• pp.49-57
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• 2015

PURPOSE: This study aimed to investigate the effect of emphasized initial contact gait training on balance and gait ability in hemiplegia patients. METHODS: Twenty-four hemiplegic patients were randomly allocated to an experimental group or control group. All participants received 30-min neurodevelopmental treatment. Furthermore, the experimental group received initial contact-emphasized auditory feedback gait training, whereas the control group received gait training without auditory feedback. The intervention was performed 3 times per week, 20 min per each time, for a total of 6 weeks. Balance was assessed using the center of pressure path length, center of pressure velocity, and limitation of stability path length, whereas gait ability was assessed using the 10-m walking test and functional gait assessment. RESULTS: In both groups, center of pressure path length and center of pressure velocity significantly decreased after training. Compared to the control group, the experimental group showed a 10% significant improvement (p<.05). In the limitation of stability path length of both sides, the experimental group showed a significant increase compared to that before intervention. Compared to the control group, the experimental group showed a 7% significant improvement in results of the 10-m walking test and functional gait assessment (p<.05). CONCLUSION: Emphasized Initial contact gait training is considered an effective treatment for improving gait ability and balance ability in stroke patients.

• Journal of Mechanical Science and Technology
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• 제17권3호
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• pp.380-390
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• 2003

This paper addresses the problem of the modeling and vibration control of tapered rotating blade modeled as thin-walled beams and incorporating damping capabilities. The blade model incorporates non-classical features such as anisotropy, transverse shear, secondary warping and includes the centrifugal and Coriolis force fields. For the rotating blade system, a thorough validation and assessment. of a number of non-classical features including the taper characteristics is accomplished. The damping capabilities are provided by a system of piezoactuators bonded or embedded into the structure and spread over the entire span of the beam. Based on the converse piezoelectric effect, the piezoactuators produce a localized strain field in response to a voltage and consequently, a change of the dynamic response characteristics is induced. A velocity feedback control law relating the piezoelectrically induced transversal bending moment at the beam tip with the appropriately selected kinematical response quantity is used and thebeneficial effects upon the closed-loop dynamic characteristics of the blade are highlighted.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국제학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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• pp.197-201
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• 1993

A method for the closedloop control of the torsional tip motion of a piezo-polymer actuator is presented. The application of Lyapunov's direct, method to the problem is explored. A feedback control of the torsional tip motion of tile piezopolymer actuator is derived by considering tile time rate of change of the total energy of the system. If the angular velocity of the tip of the actuator is known, all the modes of tile actuator can be controlled simultaneously. This approach has tile advantage over the conventional methods in the respect that it allows one to directly with tile system's partial differential equations without resorting to approximations.

• 전자공학회논문지S
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• 제34S권12호
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• pp.19-29
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• 1997

This paper presents stable kinematic modeling and path planning and path tracking algorithms for the poisition control of 4-wheeled 2-d.o.f(degree of freedom) mobile robot. We drived the actuated inverse and sensed forward solution for the calculation of actuator velocity and robot velocities. the deal-reckoning algorithm is introduced to calculate the position of WMR in real time. The gaussian functions are applied to control and to design the smooth orientation angle of WMR and the path planning algorithm for obstacle avoidance is prosed. We composed feedback control system to compensate for error because of uncertainty kinematic modeling and measurement noise. The simulation resutls show that the proposed kinematkc modeling and path planning and feedback control algorithms are useful.

• 동력기계공학회지
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• 제10권3호
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• pp.97-103
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• 2006

In this study, a position trajectory tracking control algorithm is proposed for a pneumatic artificial muscle driving apparatus composed of a actuator which imitates the muscle of human, a position sensor and a control valve. The controller applied to the driving apparatus is composed of a state feedback controller and disturbance observer. The feedback controller which feeds back position, velocity and acceleration is derived from the linear model of pneumatic artificial muscle driving apparatus. The disturbance observer is designed to improve trajectory tracking performance and to reduce the effect of model discrepancy. The effectiveness of the designed controller is proved by experiments and the experimental results show that the pneumatic artificial muscle driving apparatus with the proposed control algorithm tracks given position reference inputs accurately.

• 대한기계학회논문집
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• 제19권9호
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• pp.2399-2411
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• 1995

Crane operation for transporting heavy loads inherently causes swinging motion at the loads due to crane's acceleration or deceleration. This motion not only lowers the handling safety but also slows down the handling process. To complement such a problem, Korea Atomic Energy Research Institute(KAERI) has designed several anti-swing controllers using open loop and closed loop approaches. They are namely a pre-programmed feedback controller and a fuzzy controller. These controllers are implemented on a 1-ton crane system at KAERI and their control performances are compared. Test operations show that the new controllers are superior to that of conventional cranes in terms of robustness to the disturbances and adaptation capability to the change of rope length.