• 한국산학기술학회논문지
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• 제12권11호
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• pp.5202-5207
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• 2011

여러 산업 분야에서 온도 제어 시스템 설계는 매우 중요한 문제이다. 시스템 개발을 위해서는 개념적인 디자인, 실제 테스트를 위한 시스템 구현, 반복적인 실험을 통한 제어기 설계용 수식모델 도출, 제어기 설계 및 성능 테스트의 과정을 거친다. 통상적으로 실제 테스트 시스템 구현 및 반복적인 실험을 통한 모델링, 제어기 설계 및 성능 테스트에 매우 많은 시간과 비용이 소요된다. 대부분의 온도 제어 시스템 설계 문제에서 동작 온도는 복사 열전달은 무시될 수 있는 범위이며, 히터는 듀티비를 이용하여 ON/OFF 방식으로 제어된다. 본 논문에서는 이러한 조건에서 개념적인 초기 시스템 디자인 후 제어기 설계용 모델 도출에서부터 제어기 설계 및 제어성능 예측까지의 전 과정을 자동으로 수행할 수 있는 기법을 제시하여 온도 제어 시스템의 초기 설계를 손쉽고 빠르게 검증 할 수 있도록 하였다. SISO (Single Input Single Output) 시스템을 예로 들어 제안한 기법의 유용함을 보였다.

• 해양환경안전학회지
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• 제21권1호
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• pp.97-102
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• 2015

전남 인근해역에서 많이 사용하는 어로 작업에 사용하는 연승기는 전동기와 2개의 디스크 롤러를 결합하여 1톤 미만의 소형 어선에서 많이 활용하고 있다. 연승기의 작업특성상 연승줄을 끌어 올릴 때 많은 부하가 필요하므로 연승기의 전동기도 단방향으로만 속도 조절을 하면 된다. 본 논문에서는 1톤 미만의 어선의 연승기에 주로 사용되는 400W 용량의 직류전동기를 대상으로 제어 회로를 구성하였으며, 연승기 전동기의 단방향 속도제어를 위해 PWM 전용칩, Half bridge driver 및 MOSFET를 이용하여 제어기를 제작하였다. 또한 현재 사용중인 대분분의 연승기에 빠져있는 배터리 잔량표시기, 배터리 과방전 방지 장치 및 배터리 결선 오류 방지기능 등의 보호기능을 부가하여 사용자 편의를 강화하였다. 이로 인해 배터리 전압이 11.5V 이하가 되면 전동기는 자동을 동작을 정지하여 배터리의 과방전을 막을 수 있었고, 어선 작업자의 빈번한 배터리 결선 실수를 방지하여 컨트롤러의 안전한 사용이 가능토록 하였다. 이러한 연승기를 실제 어로 작업에 시험운전결과 매우 양호하게 동작함을 확인할 수 있었다.

• Journal of Electrical Engineering and Technology
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• 제10권1호
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• pp.118-127
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• 2015

This paper presents an advanced torque ripple minimization method of a switched reluctance motor (SRM) using torque sharing function (TSF). Generally, TSF is applied into the torque control. However, the conventional TSF cannot follow the expected torque well because of the nonlinear characteristics of the SRM. Moreover, the tail current that is generated at a high speed motor drive makes unexpected torque ripples. The proposed method combined TSF with fuzzy logic control (FLC). The advantage of this method is that the torque can be controlled unity at any conditions. In addition, the controller can track the torque under the condition of the wrong TSF. The effectiveness of the proposed algorithm is verified by the simulations and experiments.

• 제어로봇시스템학회논문지
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• 제8권12호
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• pp.1023-1030
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• 2002

Since the dynamics of autonomous underwater vehicles (AUVs) are highly nonlinear and their hydrodynamic coefficients vary with different vehicle's operating conditions, high performance control systems of AUVs are needed to have the capacities of teaming and adapting to the variations of the vehicle's dynamics. In this paper, a linearly parameterized neural network (LPNN) is used to approximate the uncertainties of the vehicle dynamics, where the basis function vector of the network is constructed according to the vehicle's physical properties. The network's reconstruction errors and the disturbances in the vehicle dynamics are assumed be bounded although the bound may be unknown. To attenuate this unknown bounded uncertainty, a certain estimation scheme for this unknown bound is introduced combined with a sliding mode scheme. The proposed controller is proven to guarantee that all signals in the closed-loop system are uniformly ultimately bounded (UUB). Numerical simulation studies are performed to illustrate the effectiveness of the proposed control scheme.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.1738-1743
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• 2004

This paper presents an automobile traction control system by using a sliding mode controller with disturbance observer for estimating the car-body speed. First, we show that the control system, which combines an automobile system and a disturbance observer, can be divided into a controllable system and an estimated one. And, we found out that the effect of the traction control and ABS depends on the air resistance of the car. Then, the sliding mode control system is designed using the obtained combined system. And finally, the stability of this control system is verified by simulation and it shows a very satisfactory results.

• 한국데이타베이스학회:학술대회논문집
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• 한국데이타베이스학회 1999년도 춘계공동학술대회: 지식경영과 지식공학
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• pp.261-270
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• 1999

Sintering transforms powdered ore into lumped ore so that the latter can be used in a blast furnace. The powdered ore combined with coke and other materials is loaded into a container and moved along by a pallet while the ignited coke bums. The speed by which the pallet moves determines how much sintering takes place. Since the process is complicated and lacks an accurate mathematical model, human operators manually control the speed by monitoring various factors in the plant. In this paper, we propose a neural network-based pallet speed controller which copies human operator knowledge. Actual process data were collected from a sintering plant fer eight months and preprocessed to remove noisy and inconsistent data. A multilayer perceptron was trained using a back-propagation learning algorithm. In on-line testing at the sinter plant, the proposed model reliably controlled pallet speed during normal operation without the help of human operators. Moreover, the duality and productivity was as good as with human operators.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2003년도 춘계전력전자학술대회 논문집(1)
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• pp.393-397
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• 2003

This paper presents neural load torque observer tha used to deadbeat load torque observer and regulation of the compensation gun by parameter estimator. As a result, the response of PMSM follows that of the nominal plant. The load torque compensation method is compose of a neural deadbeat observer. To reduce of the noise effect, the post-filter, which is implemented by MA process, is adopted. The parameter compensator with RLSM (recursive least square method) parameter estimator is adopted to increase the performance of the load torque observer and main controller. The parameter estimator li combined with a high performance neural torque observer to resolve the problems. As a result, the proposed control system becomes a robust and precise system against the load torque and the parameter variation. A stability and usefulness, through the verified computer simulation, are shown in this paper

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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• pp.331-336
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• 1998

A systematic design method for PDC(Parallel Distributed Compensation)-type continuous time Takagi-Sugeno(T-S in short) fuzzy control systems which have inaccessible states is developed in this paper. Reduced-dimensional fuzzy state estimator is introduced from existing T-S fuzzy model using the PDC structure of Wang et al. [1] LMI(Linear Matrix Inequalities) problems which represent the stabililty of the reduced-dimensional fuzzy state estimator are derived. Pole placement constraints idea for each rules is adopted to determine the estimator gains and they are also revealed as LMI problems. these LMI problems are combined with Joh et al's [7][8] LMI problems for PDC -type continuous time T-S fuzzy controller design to yield a systematic design method for PDC -type continuous time T-S fuzzy control systems which have inaccessible states.

• 한국생산제조학회지
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• 제22권4호
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• pp.730-734
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• 2013

The dynamic simulation of machine tools and motion control systems has been widely used for optimization, design verification, control design, etc. There are three main streams in dynamic simulation: structural dynamic analysis based onthe finite element method, dynamic motion analysis based on equations of motion, and control system analysis based on transfer functions. Generally, one of these dynamic simulation methods is chosen and employed for specific purposes. In this study, an integrated dynamic simulation is introduced, in which the structure, motion, and control dynamics are combined together. Commercially well-known software is used in the integrated dynamic simulation: ANSYS, ADAMS, and Matlab/Simulink. Using the integrated dynamic simulation, the dynamics of a magnetic bearing stage is analyzed and the causes of oscillation and noise are identified. A controller design for suppressing a flexible dynamic mode is carried out and verified through the integrated dynamic simulation.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2011년도 제42회 하계학술대회
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• pp.888-889
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• 2011

As new one of superconducting power supplies, we proposed an HTS flux pump utilized a solar energy system. As an eternal electric energy can be converted by the solar system, the solar energy system is promisingly applied as an energy source in the power applications. A solar energy system is comprised of solar panel, photo-voltaic (PV) controller, converter and battery. The HTS flux pump consists of an electromagnet, two thermal heaters and a Bi-2223 magnet. In this paper, we describe the possibility the fusion technology between superconducting power supply and solar energy system. As a fundamental step, the fabrication, structure and experimental results are explained.