• 제어로봇시스템학회논문지
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• 제2권4호
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• pp.318-323
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• 1996

The speed of SR(Switched Reluctance) motor can be controlled by switching angle. However, since the relation between speed and switching is nonlinear, it is difficult for simple adjustment schemes to achieve the desired performances. In this paper, an error.feedback nonlinear compensator with robustness is proposed for improving the performances of the switching angle controlled SR motor. The proposed controller consists of integral type control and relay type control. The integral type controller which operates regulation, is derived by the steady.state I/O(input/output) map and the relay type controller which works tracking, is designed by Lyapunov stability theory. The validities of the proposed controller are confirmed with the experimental results.

• 설비공학논문집
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• 제22권5호
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• pp.275-281
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• 2010

Car HVAC is one of main factors influencing a potential customer's first impression. It should be fault-free, which requires the most stable control performance. So, the control algorithm consists of a proportional feedback only, not with an integral action needed for elimination of steady-state errors. To reduce the errors and make the response faster, feedforward algorithm based on predicted thermal load is added. To evaluate the performance, car HVAC is dynamically modelled and its control logic is simulated. The results shows that the proportional feedback leads to about $4^{\circ}C$ of steady-state error. When the feedback is combined with the feedforward algorithm and with a set value update based on disturbances, it predicts less than $1^{\circ}C$ of control error and improved thermal comfort.

• 전기학회논문지
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• 제56권12호
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• pp.2251-2256
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• 2007

In this paper, the wavelet transform based lossless image compression algorithm is proposed. The proposed algorithm transforms the input image using 9/7 ICFB and S+P filter, and eliminates the spacious correlation of the subband coefficients, applying the context modeling predictive technique based on the multi-resolution structure and the feedback of the prediction error. The prediction context exploits the subordination and direction property of the different level subband in the vertical, horizontal, and diagonal subband coefficients. The simulation result of the high frequency images such as PEPPERS, BOAT, and AIRPLANE shows that the proposed algorithm efficiently predicts the edge area of each multi-resolution subband.

• Journal of Ubiquitous Convergence Technology
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• 제1권1호
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• pp.28-34
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• 2007

Tree-based reliable multicast protocols provide scalability by distributing error-recovery tasks among several repair nodes. These repair nodes perform local error recovery for their receiver nodes using the data stored in their buffers. We propose a packet loss patterns adaptive feedback scheduling scheme to manage these buffers in an efficient manner. Under our scheme, receiver nodes send NAKs to repair nodes to request packet retransmissions only when the packet losses are independent events from other nodes. At dynamic and infrequent intervals, they also send ACKs to indicate which packets can be safely discarded from the repair node's buffer. Our scheme reduces delay in error recovery because the requested packets are almost always available in the repair node's buffers. It also reduces the repair node's workload because (a) each receiver node sends infrequent ACKs with non-fixed intervals and (b) their sending times are fairly distributed among all the receiver nodes.

• 전기학회논문지
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• 제66권1호
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• pp.153-158
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• 2017

This paper investigates a robust low-complexity design problem for tracking control of uncertain switched pure-feedback systems in the presence of unknown control direction. The completely unknown non-affine nonlinearities are assumed to be arbitrarily switched. By combining the nonlinear error transformation technique and Nussbaum-type functions, a robust tracking controller is designed without using any adaptive function approximators. Thus, compared with existing results, the proposed control scheme has the low-complexity property. From Lyapunov stability theory, it is shown that the tracking error remains within the preassigned transient and steady-state error bounds.

• 한국컴퓨터산업학회논문지
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• 제5권1호
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• pp.123-130
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• 2004

본 논문에서는 피드백 채널을 사용하여 error resilient transmission에 적합한 개선된 에러 트래킹 알고리즘을 제안하였다. 오염된 블록들의 주소는 디코더에 의하여 인코더에게 보고 된다. 제안된 알고리즘을 사용하여 에러 전파를 줄였다. 인코더는 피드백 채널의 negative acknowledgement를 가지고 역방향 움직임 의존도를 조사하여 전파된 에러를 현재 인코딩 되는 프레임 내에서 정확하게 추적한다. 제안된 에러 트래킹 알고리즘을 사용하여 영향을 받은 매크로 블록을 INTRA 코딩함으로 에러 전파효과를 완전히 종식시킬 수 있다. 선택적으로 네 모서리 에러 트래킹 근사를 사용하는 제안된 알고리즘의 에러트래킹 연산량은 전체 픽셀을 사용한 경우의 에러트래킹의 연산량에 비하여 매우 적으나 영상의 질은 동일하게 유지된다.

• 한국지능시스템학회논문지
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• 제21권5호
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• pp.602-608
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• 2011

본 논문에서는, 신경망을 이용한 뉴로 인터페이스 설계를 통해 논홀로노믹 이동 로봇을 제어하는 방법을 제시하였다. 특히, 가상의 마스터-슬레이브 로봇 개념을 이용하여, 부분적으로 안정된 마스터 로봇의 역 동적모델이 피드백-에러 학습법을 적용한 신경망을 통해 온라인으로 획득되도록 하였다. 이 피드백 제어기는 PD 보상기에 기초를 두고 있다. 온라인 학습을 위한 신경망은 입력층이 6개의 입력세포들($x_i$, i=1~6)로 구성되어있으며, 1개의 은닉층에는 2개의 은닉세포($o_j$, j=1~2), 출력층은 2개의 출력세포(${\tau}_k$, k=1~2)로 구성되었고, 신경망의 온라인 학습을 위하여 최소자승법에 의한 오류역전파 알고리즘을 이용하였다. 본 연구에서 개발된 뉴로 인터페이스의 경로추적제어에 관한 성능은 2-wheel 독립구동이 가능한 논홀로노믹 이동 로봇의 시뮬레이션으로 증명하였다.

• 한국공작기계학회논문집
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• 제15권5호
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• pp.72-78
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• 2006

The paper proposes reference model error feedback control scheme for motion control system with hard non-linear components as like saturation and dead-zone in plant input part. Additionally, the plant has the system uncertainty effected by plant model parameter deviation and disturbance. The control algorithm uses the reference model to apply additional feedback loop with the error between reference model output and actual output effected by disturbance and non-linear components. And the stability evaluation based on Popov stability and controller design method are formulated to be performed. The effectiveness of the proposed scheme is examined by simulations. The results are proven by reasonable performances following reference model responses with good disturbance rejection performance without over-tuning of controller.

• 한국정밀공학회지
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• 제21권5호
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• pp.55-63
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• 2004

This paper presents neural network based controller using the feedback error loaming technique for a heavy load pointing system. Also the mathematical model was developed to analyze heavy load pointing system. The control scheme consists of a feedforward neural network controller and a fixed-gain feedback controller. This neural network controller is trained so as to make the output of the feedback controller zero. The proposed controller is compared with the conventional PI controller through simulations, and the results show that the pointing accuracy of the proposed control system are improved against the disturbance induced by vehicle running on the bump course.

• 한국통신학회논문지
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• 제36권8C호
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• pp.516-521
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• 2011

이 논문에서는 심각한 다중경로 페이딩 왜곡과 충격성 잡음을 극복하기 위해 결정궤환 구조를 갖추고 오차의 영확률을 최대화하는 비선형 알고리듬(MZEP-DF)를 제안하였다. 제안된 MZEP-DF 알고리듬은 충격성 잡음에 강인성을 보였고 궤환구조 영역에서 잔여 심볼간 간섭을 제거하는 능력을 보였다. 기존 LMS 알고리듬이 정상상태 오차 전력에 대해 -3 dB 이하로 수렴하지 못했던 심각한 다중경로 페이딩과 충격성 잡음 환경에 대해 제안한 알고리듬은 선형 MZEP 알고리듬과 비교하였을 때, 10 dB 이상 성능향상을 보였다.