• 제목/요약/키워드: KoKwan Park

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The hovering Flight Attitude Control of a Helicopter using Mixed $H_2/H_{\infty}$ Control Techniques ($H_2/H_{\infty}$ 혼합 제어 기법을 이용한 헬리콥터의 정지 비행 자세 제어에 관한 연구)

  • Lee, Myung-Wook;Ko, Kang-Woong;Min, Deuk-Gi;Park, Ki-Heon
    • Proceedings of the KIEE Conference
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    • 2000.07d
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    • pp.2599-2601
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    • 2000
  • A helicopter control problem has been researched with many control theory. Especially, study of the hovering flight attitude control of a helicopter has been brisked since 60s with multivariable control theory. In this paper, the modeling is interpreted through the 6-freedom equation. To getting a entire equation, species of parameters and charts are adapted. The $H_2/H_{\infty}$ controller is acquired by mixing the $H_2$ control theory and the $H_{\infty}$ control theory. The $H_2$ control theory is reasonable one to increase the performance of a plant, and the $H_{\infty}$ control theory secures the robust stability. The simulation shows that the helicopter system is being controlled while maintaining performance and robust stability against perturbation.

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A Study on Cantilever Beam Active Vibration Control using Electromagnetic Force (전자석을 이용한 외팔보 능동 진동 제어에 관한 연구)

  • Ko, Kang-Woong;Choi, Soo-Young;Kang, Ki-Won;Lee, Jong-Sung;Park, Ki-Heon
    • Proceedings of the KIEE Conference
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    • 2001.07d
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    • pp.2243-2245
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    • 2001
  • 진동을 감소시키는 방법으로 과거에는 최적의 설계 변수를 선정하는 수동 제어 방법이 주로 연구되었으나, 보다 확실한 진동 제어를 위하여 최근에는 피드백 루프(Feedback loop)를 이용하는 능동제어에 대한 연구가 활발히 진행되고 있다. 본 연구에서는 능동제어에 의한 진동을 억제하는 방법에 대하여 연구하려고 한다. 진동체로는 외팔보를 선택하였으며 진동체의 진동을 제어하는 장치로는 제어코일과 베이스코일로 구성된 Push-Pull 타입의 전자석 제어회로를 직접 제작하고 시스템을 모델링 하고자 한다.

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How are they layerwisely 'surprised', KoBERT and KR-BERT? (KoBERT와 KR-BERT의 은닉층별 통사 및 의미 처리 성능 평가)

  • Choi, Sunjoo;Park, Myung-Kwan;Kim, Euhee
    • Annual Conference on Human and Language Technology
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    • 2021.10a
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    • pp.340-345
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    • 2021
  • 최근 많은 연구들이 BERT를 활용하여, 주어진 문맥에서 언어학/문법적으로 적절하지 않은 단어를 인지하고 찾아내는 성과를 보고하였다. 하지만 일반적으로 딥러닝 관점에서 NLL기법(Negative log-likelihood)은 주어진 문맥에서 언어 변칙에 대한 정확한 성격을 규명하기에는 어려움이 있다고 지적되고 있다. 이러한 한계를 해결하기 위하여, Li et al.(2021)은 트랜스포머 언어모델의 은닉층별 밀도 추정(density estimation)을 통한 가우시안 확률 분포를 활용하는 가우시안 혼합 모델(Gaussian Mixture Model)을 적용하였다. 그들은 트랜스포머 언어모델이 언어 변칙 예문들의 종류에 따라 상이한 메커니즘을 사용하여 처리한다는 점을 보고하였다. 이 선행 연구를 받아들여 본 연구에서는 한국어 기반 언어모델인 KoBERT나 KR-BERT도 과연 한국어의 상이한 유형의 언어 변칙 예문들을 다른 방식으로 처리할 수 있는지를 규명하고자 한다. 이를 위해, 본 연구에서는 한국어 형태통사적 그리고 의미적 변칙 예문들을 구성하였고, 이 예문들을 바탕으로 한국어 기반 모델들의 성능을 놀라움-갭(surprisal gap) 점수를 계산하여 평가하였다. 본 논문에서는 한국어 기반 모델들도 의미적 변칙 예문을 처리할 때보다 형태통사적 변칙 예문을 처리할 때 상대적으로 보다 더 높은 놀라움-갭 점수를 보여주고 있음을 발견하였다. 즉, 상이한 종류의 언어 변칙 예문들을 처리하기 위하여 다른 메커니즘을 활용하고 있음을 보였다.

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$H_2$ Controller Design for Active Vibration Control of A Cantilever Beam (외팔보의 능동 진동 제어를 위한 $H_2$ 제어기 설계)

  • Choi, Soo-Young;Ko, Kang-Woong;Lee, Jong-Sung;Park, Ki-Heon
    • Proceedings of the KIEE Conference
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    • 2002.07d
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    • pp.2225-2227
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    • 2002
  • This paper presents the control and the performances of a $H_2$ controller for active vibration control of a cantilever beam. Electromagnets are used as actuators and a laser sensor is used to measure the position of the bending beam. The transfer function of the beam is obtained via the modal analysis of the free vitiation equation. The performance of the controller are verified by experimental results.

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Implementation of Home Service Robot System consisting of Object Oriented Slave Robots (객체 지향적 슬레이브 로봇들로 구성된 홈서비스 로봇 시스템의 구현)

  • Ko, Chang-Gun;Ko, Dae-Gun;Kwan, Hye-Jin;Park, Jung-Il;Lee, Suk-Gyu
    • Proceedings of the KIEE Conference
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    • 2007.04a
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    • pp.337-339
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    • 2007
  • This paper proposes a new paradigm for cooperation of multi-robot system for home service. For localization of each robot. the master robot collects information of location of each robot based on communication of RFID tag on the floor and RFID reader attached on the bottom of the robot. The Master robot communicates with slave robots via wireless LAN to check the motion of robots and command to them based on the information from slave robots. The operator may send command to slave robots based on the HRI(Human-Robot Interaction) screened on masted robot using information from slave robots. The cooperation of multiple robots will enhance the performance comparing with single robot.

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A Case of Pulmonary Intravascular Lymphomatosis (폐를 침범한 혈관내 림프종증 1예)

  • Park, Sang-Jong;Bae, Sang-Su;Cheon, Eun-Mi;Kwon, O-Jung;Rhee, Chong-H.;Han, Yong-Chol;Kim, Jin-Guk;Lee, Kyung-Soo;Ko, Young-Hye
    • Tuberculosis and Respiratory Diseases
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    • v.44 no.6
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    • pp.1390-1395
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    • 1997
  • Intravascular lymphomatosis(IVL) which was first described by pfleger and Tappeiner in 1959 is rare malignancy characterized by neoplastic proliferation of lymphoid cell lineage within the vascular lumen with little or no adjacent parenchymal involvement Its usual sites of involvement are central nervous system and skin or infrequently heart, lungs, pancreas, liver, spleen, kidney, adrenal glands, genitourinary tract, and bone marrow. Pulmonary involvement of IVL is not common. Symptoms of pulmonary involvement include dyspnea, cough and fever. Radiologicially, the disease is manifested with diffuse interstitial infiltrates. We report a recently experienced case of pulmonary intravascular lymphomatosis which was manifested with fever and chest pain.

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High Performance Control of Induction Motor Drive with AFLC Controller (AFLC 제어기에 의한 유도전동기 드라이브의 고성능 제어)

  • Ko, Jae-Sub;Choi, Jung-Sik;Lee, Jung-Ho;Kim, Jong-Kwan;Park, Ki-Tae;Park, Byung-Sang;Chung, Dong-Hwa
    • Proceedings of the KIEE Conference
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    • 2006.04a
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    • pp.216-218
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    • 2006
  • The paper is proposed high performance control of induction motor drive with adaptive fuzzy logic controller(AFLC). Also, this paper is proposed speed control of induction motor using AFLC and estimation of speed using artificial neural network(ANN) controller. The back propagation neural network technique is used to provide a real time adaptive estimation of the motor speed. The error between the desired state variable and the actual one is back-propagated to adjust the rotor speed, so that the actual state variable will coincide with the desired one. The proposed control algorithm is applied to induction motor drive system controlled AFLC and ANN controller. And this paper is proposed the results to verify the effectiveness of the AFLC and ANN controller.

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On-line Parameter Estimation of IPMSM Drive using Neural Network (신경회로망을 이용한 IPMSM 드라이브의 온라인 파라미터 추정)

  • Choi, Jung-Sik;Ko, Jae-Sub;Lee, Jung-Ho;Kim, Jong-Kwan;Park, Ki-Tae;Park, Byung-Sang;Chung, Dong-Hwa
    • Proceedings of the KIEE Conference
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    • 2006.04a
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    • pp.207-209
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    • 2006
  • A number of techniques have been developed for estimation of speed or position in motor drives. The accuracy of these techniques is affected by the variation of motor parameters such as the stator resistance, stator inductance or torque constant. This paper is proposed a neural network based estimator for torque and ststor resistance in IPMSM Drives. The neural weights are initially chosen randomly and a model reference algorithm adjusts those weights to give the optimum estimations. The neural network estimator is able to track the varying parameters quite accurately at different speeds with consistent performance. The neural network parameter estimator has been applied to slot and flux linkage torque ripple minimization of the IPMSM. The validity of the proposed parameter estimator is confirmed by the operating characteristics controlled by neural networks control.

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