• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1986년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 17-18 Oct. 1986
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• pp.663-668
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• 1986

State variables of an observer were made use of to realize the optimal position control of a hydraulic servosystem with the inherent nonlinearities. The range of eigenvalues of an observer suitable for the hydraulic servosystem was investigated through computer simulation. The effect of direct state feedback of hydraulic servosystem was compared with that of estimated state feedback using observer to ascertain the possibility of performance increase using observer.

• 융합신호처리학회 학술대회논문집
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• 한국신호처리시스템학회 2001년도 하계 학술대회 논문집(KISPS SUMMER CONFERENCE 2001
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• pp.125-128
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• 2001

In this paper, We proposed the nonlinear controller and observer design for a ball and beam system. Unfortunately, for the ball and beam system, the control coefficient is zero whenever the angular velocity or ball position are zero. Therefore, the relative degree of the ball and beam system is not well defined. The presented the nonlinear controller and observer design is based on the approximation input-output feedback linearization. And we verified that the proposed nonlinear controller and observer scheme is the feasible through a computer simulation.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2009년도 추계학술대회 논문집
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• pp.325-326
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• 2009

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2002년도 춘계학술대회 논문집
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• pp.65-68
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• 2002

In a high speed spindle system, it is very important to monitor the state of rotating rotor. Particularly in active control spindle system, the position sensor must provide feedback to the control system on the exact position of the rotor. In order to monitor the state of a high speed spindle exactly, High accuracy and wide frequency bandwidth of sensors are important. This paper describes the factors which has an effect on performances of inductive position sensor. We also report the experimental results that characterize the performances of the inductive position sensor.

• 한국항해학회지
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• 제23권3호
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• pp.35-44
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• 1999

This research aims to seek active control of ball-beam position stability by resorting to neural networks whose layers are given bias weights. The controller consists of an LQR (linear quadratic regulator) controller and a neural networks controller in parallel. The latter is used to improve the responses of the established LQR control system, especially when controlling the system with nonlinear factors or modelling errors. For the learning of this control system, the feedback-error learning algorithm is utilized here. While the neural networks controller learns repetitive trajectories on line, feedback errors are back-propagated through neural networks. Convergence is made when the neural networks controller reversely learns and controls the plant. The goals of teaming are to expand the working range of the adaptive control system and to bridge errors owing to nonlinearity by adjusting parameters against the external disturbances and change of the nonlinear plant. The motion equation of the ball-beam system is derived from Newton's law. As the system is strongly nonlinear, lots of researchers have depended on classical systems to control it. Its applications of position control are seen in planes, ships, automobiles and so on. However, the research based on artificial control is quite recent. The current paper compares and analyzes simulation results by way of the LQR controller and the neural network controller in order to prove the efficiency of the neural networks control algorithm against any nonlinear system.

• Journal of Advanced Marine Engineering and Technology
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• 제34권2호
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• pp.310-317
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• 2010

본 논문은 전형적 비선형 시스템인 셀프 이렉팅 도립진자 시스템의 스윙업과 안정화에 대한 제어 방법을 제안한다. 펜던트 상태의 진자를 PV 제어기를 이용하여 스윙업 시키고, 진자가 적절한 위치에 도달했을 경우 PI형 상태피드백 제어기로 스위칭하여 진자가 넘어지지 않게 유지시키도록 한다. 시뮬레이션을 통하여 제안한 제어기법의 유효성을 확인한다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1995년도 하계학술대회 논문집 B
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• pp.705-709
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• 1995

The objective of this study is to design a multi-layer neural network which controls the position of excavator's attachment. In this paper, a dynamic controller has been developed based on an error back-propagation(BP) neural network. Since the neural network can model an arbitrary nonlinear mapping, it was used as a commanded feedforward input generator. A PD feedback controller is used in parallel with the feedforward neural network to train the system. The neural network was trained by the current state of the excavator as well as the PD feedback error. By using the BP network as a feedforward controller, no a priori knowledge on system dynamics is need. Computer simulation results demonstrate such powerful characteristics of the proposed controller as adaptation to changing environment, robustness to disturbancen and performance improvement with the on-line learning in the position control of excavator attachment.

• Nuclear Engineering and Technology
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• 제25권1호
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• pp.136-147
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• 1993

본 논문은 다음의 내용을 기술한다 : ⅰ) 토카막 플라즈마의 경계면을 정의하고 계산하는 폴로이달 자속의 수학적 모형을 플라즈마경계면과 등자속면이 일치한다는 사실로부터 수립한다. 따라서 플라즈마의 경계위치를 제어한다 함은 리미터 접선상의 여러 점들에서 자속값을 같게 만드는 것을 의미한다. ⅱ) 자속, 자장, 자장구배의 선형조합으로 최외각 폴로이달 등자속면을 측정하는 방법을 제시한다. 이 방법은 내부플라즈마변수를 알 필요가 없어서 폴로이달베타와 플라즈마전류분포의 변동에 따르는 수정이나 진공용기의 유도전류를 보상하지 않아도 된다. ⅲ) 플라즈마의 경계면 위치조정을 위한 궤환제어 알고리즘을 수립하고, PID 제어이론을 기초로 해당 전자장비를 제작한다. ⅳ) 본 플라즈마 제어계를 사용한 RTP토카막 실험의 결과를 논의한다.

• 한국전자통신학회논문지
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• 제8권2호
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• pp.285-290
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• 2013

Slotless 선형 동기 전동기(Linear Synchronous Motor)는 가동자의 구조가 간단하고 1차측 철심의 슬롯을 제거하여 갭 중의 자기에너지를 균일화해 추력 변동을 억제할 수 있는 장점을 가지고 있다. 또한 고효율로 구동이 가능하고 제어성이 타 선형 전동기에 비해 뛰어나 반송장치의 적용이 확대 되고 있는 실정이다. 하지만 주거 환경 분야의 적용은 미흡한 실정이다. 따라서 본 논문에서는 Slotless 선형 동기 전동기의 주거 환경 분야 적용을 위해 위치 피드백 제어에 따른 구동 특성을 고찰하고 속도 진동의 최소화와 안정된 응답 특성을 얻기 위해 부하 탑재와 가속도를 변화시켜 위치 피드백 제어를 비교함으로써 제어기의 유용함을 입증한다.

• Physical Therapy Rehabilitation Science
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• 제9권3호
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• pp.184-190
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• 2020

Objective: Patients with low back pain can possibly have impaired core muscle function, which is the common cause of low back pain. Spinal stabilization exercises are recommended for prevention and reinforcement. This study aimed to compare the effects of different types of feedback on abdominal and lumbar multifidus (LM) muscle recruitment during spinal stabilization exercises. Design: Cross-sectional study. Methods: Fifty-seven healthy subjects (sex=male 21/female 36, age=21.28±1.60 years) were divided into three different groups: the control group (n=19), the auditory feedback (AF) group (n=19), and the visual and auditory feedback (VAF) group (n=19). The control group received no feedback, whereas the AF group only received AF during exercises and the VAF group received the AF and visual feedback through the real-time ultrasound images. The main outcome measure was the assessment of the thickness of the abdominal muscles and LM measured by a dual ultrasound. Results: When VAF was applied, the thickness of the transverse abdominis significantly increased rather than when feedback was not applied or with AF only (p<0.05). The VAF group showed significant differences in both the control group and the AF group in the post-hoc test (p<0.05), and there was no significant difference between the control group and the AF group. Conclusions: With spinal stabilization exercises, VAF should be applied in standing posture for healthy adults to further promote the production of effective contractions.