• 대한전기학회논문지:전력기술부문A
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• 제49권10호
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• pp.486-493
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• 2000

This paper presents an application to a multimachine power system of power system stabilizer using revised pole shift adaptive algorithm. Controller parameters are determined by using adaptive control theory in order to maintain optimal operation of generator under the various operating conditions. To determine the optimal parameters of controller and overcome the problem of pole placement algorithm, this paper presents pole shift algorithm revised pole shift factor. Also, the difference between the speed deviation with weighted factor and voltage deviation is used as the input signal of adaptive controller, which provides good damping characteristics. The results tested on a multimachine power system verify that the proposed controller has better dynamic and transient performance than conventional controller.

• Journal of Mechanical Science and Technology
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• 제15권11호
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• pp.1472-1481
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• 2001

In this paper, an advanced shift controller that supervises the shift transients with adaptive compensation is presented. Modern shift control systems for vehicle automatic transmission are designe d to provide smooth transients for passengers' comfort and better component durability. In the conventional methods, lots of testing and calibration works have been done to tune gains of the controller, but it does not assure optimum shift quality at all times owing to system variations often caused by uncertainties in shifting hydraulic systems and external disturbances. In the proposed control scheme, an adaptive compensation controller with intelligent supervisor is implemented to achieve improved shift quality over the system variations. The control input pattern which generates clutch pressure commands in hydraulic actuating systems, is updated through a learning process to adjust for each subsequent shift based on continuous monitoring of shifting performance and environmental changes. The proposed algorithm is implemented and evaluated on the experimental test setup. Results from the experimental studies for several operation modes show both improved performance and adaptability of the proposed shift controller to uncertain changes of the shifting environment in vehicle power transmission systems.

• Journal of Mechanical Science and Technology
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• 제14권4호
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• pp.418-425
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• 2000

Recently, many passenger cars have adopted automatic transmissions for shifting gears, and thus the smooth and precise control of gear shifts of passenger car automatic transmissions has become more and more essential for the riding comfort of vehicles equipped with automatic transmissions. In this article, a neural network-based supervisor for an automotive shift controller considering the throttle opening, variations in throttle opening, and the driving load is presented. For using the driving load information, an observer-based driving load estimation algorithm is proposed. A proportional-integral-derivative controller along with an open loop controller is used as a low level controller for controlling the gear shifts, and a supervisory controller for properly adapting the shift control parameters of the low level shift controller is designed using ANFIS. To evaluate the control performance of the proposed supervisor-based shift controller, both simulation studies and experimental studies are performed for various shifting situations.

• 한국음향학회:학술대회논문집
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• 한국음향학회 1991년도 학술발표회 논문집
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• pp.129-132
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• 1991

In this paper, the active noise controll system in duct is analyzed with real time implementation. The primary noise signal detected by microphone is modeled using adaptive algorithm and the secondary signal which has the same amplitude and 180$^{\circ}$phase shift with the primary noise signal is generated in the controller. We used the DSP56001 as a real-time processor and LMS algorithm as a adaptive technique, the experimental results shows that our system can reduce the noise level in duce to 15~40[db].

• 대한전기학회:학술대회논문집
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• 대한전기학회 1991년도 추계학술대회 논문집 학회본부
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• pp.378-381
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• 1991

In this paper, the active noise controll system in duct is analyzed with real time implementation. The primary noise signal detected by microphone is modeled using adaptive algorithm and the secondary signal which has the same amplitude and $180^{\circ}$ phase shift with the primary noise signal is generated in the controller. The signal processor DSP56001 is used to implement the real-time controller and the experimental results shows that our system can reduce the noise level in duct to $20{\sim}40$ [db].

• 대한기계학회:학술대회논문집
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• 대한기계학회 2001년도 추계학술대회논문집A
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• pp.723-729
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• 2001

Electro-hydraulic shift control of a vehicle automatic transmission has been predominantly carried out via an open-loop control based on numerous time-consuming calibrations. Despite remarkable success in practice, the variations of system characteristics inevitably deteriorate the performance of the tuned open-loop controller. As a result, the controller parameters need to be continuously updated in order to maintain satisfactory shift quality. This paper presents a self-learning algorithm for automatic transmission shift control in a construction vehicle during inertia phase. First, an observer reconstructs the turbine acceleration signal (impossible to measure in a construction vehicle) from the readily accessible turbine speed measurement. Then, a control algorithm based on a quadratic function of the turbine acceleration is shown to guarantee the asymptotic convergence (within a specified target bound) of the error between the actual and the desired turbine accelerations. A Lyapunov argument plays a crucial role in deriving adaptive laws for control parameters. The simulation and hardware-in-the-loop simulation (HILS) studies show that the proposed algorithm actually delivers the promise of satisfactory performance despite the system characteristics variations and uncertainties.

• 전력전자학회논문지
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• 제5권2호
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• pp.192-199
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• 2000

본 논문은 고주파 유도 가열기의 전력조절을 위해 뉴로-퍼지 알고리즘을 이용하고, IGBT를 사용한 위상 전이 펄스변조(PSPM)와 주파수 추종 펄스변조(FEPM) 가 조절되는 공진 고주파 인버터를 응용한 유도가열기를 설명한다. 이는 실제로 산업 현장에서 20KHz~500KHz 유도 가열 및 유도 용해 전원장치용으로 쓰인다. 위상 전이 펄스변조 (PSPM) 정전력 조절 기술을 바탕으로 한 적응 주파수 추종기법은 스위칭 손실을 최소화하고 전력조절을 용이하게 하기 위해 소개되어졌다. 뉴로-퍼지제어기를 사용하여 만들어진 실험장치는 성공적인 논증과 토의가 되어졌다.

• 한국정보통신학회논문지
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• 제2권2호
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• pp.223-230
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• 1998

본 논문은 뉴랄퍼지를 이용한 디지탈식 제어기를 고주파 유도 가열기의 전력 조절을 위해 IGBT를 사용한 위상 전이(Phase-Shift) 펄스폭 변조(PWM)와 펄스 주파수 변조(PFM)가 조절되는 공진 고주파 인버터를 응용한 유도가열기를 설명한다. 이는 실제로 산업 현장에서 20KHz~500KHz 유도 가열 및 유도 용해 전원 장치용으로 쓰인다. 위상 전이(Phase-Shift) PWM 정전력 조절 기술을 바탕으로 한 적응 주파수 추종 기법은 스위칭 손실을 최소화하고 전력조절을 용이하게 하기 위해 소개되어졌다. IGBT를 사용하여 실험적으로 만들어진 실험장치는 성공적으로 논증과 토의가 되어졌다.

• 융합신호처리학회논문지
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• 제15권2호
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• pp.42-47
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• 2014

본 논문에서는 단일 카메라를 사용하여 사용자 검지 손가락 움직임과 손가락 개수의 인식을 기반으로 하는 손동작 게임 컨트롤러 인터페이스를 구현한다. 구현한 손동작 게임 컨트롤러 인터페이스는 검지 손가락 끝점의 위치 추적을 위해서 CAMShift(Continuously Adaptive Mean Shift) 알고리즘을 적용하고, 손가락 개수 인식을 위해서는 손 영역의 중심으로부터 이중 원형 추적(Double Circle Tracing)에 의한 교차정보를 이용한다. 이때 성능 향상을 위해서 RGB 입력 영상에 대해서 CAMShift 알고리즘 적용에는 HSI 컬러모델을 이중 원형 추적을 위해서는 YCbCr 컬러모델을 사용한다. 또한 인텔사의 OpenCV 라이브러리를 기반으로 C++언어를 사용하여 사격 시뮬레이터 게임을 제작하여 손동작 게임 컨트롤러 인터페이스의 성능을 평가하고 사용자 명령 컨트롤러로서의 유효성을 검증하였다. 그 결과 각 게임 컨트롤 모드별 평균 90% 이상의 인식률을 보였다.

• Industrial Engineering and Management Systems
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• 제4권1호
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• pp.54-67
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• 2005

This paper provides an evaluation of an optimization-based, multiple-input double-output (MIDO) run-to-run (R2R) control scheme for general semiconductor manufacturing processes. The controller in this research, termed adaptive dual response optimizing controller (ADROC), can serve as a process optimizer as well as a recipe regulator between consecutive runs of wafer fabrication. In evaluation, it is assumed that the equipment model could be appropriately described by a pair of second-order polynomial functions in terms of a set of controllable variables. Of practical relevance is to consider a drifting effect in the equipment model since in common semiconductor practice the process tends to drift due to machine aging and tool wearing. We select a typical application of R2R control to chemical mechanical planarization (CMP) in semiconductor manufacturing in this evaluation, and there are five different CMP process scenarios demonstrated, including mean shift, variance increase, and IMA disturbances. For the controller, ADROC, an on-line estimation technique is implemented in a self-tuning (ST) control manner for the adaptation purpose. Subsequently, an ad hoc global optimization algorithm based on the dual response approach, arising from the response surface methodology (RSM) literature, is used to seek the optimum recipe within the acceptability region for the execution of next run. The main components of ADROC are described and its control performance is assessed. It reveals from the evaluation that ADROC can provide excellent control actions for the MIDO R2R situations even though the process exhibits complicated, nonlinear interaction effects between control variables, and the drifting disturbances.