• 전기학회논문지
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• 제60권2호
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• pp.383-388
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• 2011

In this paper, we consider Hammerstein-Wiener nonlinear model for solid oxide fuel cell (SOFC). A nonlinear model predictive control (MPC) is proposed to trace the constant stack terminal power by Hydrogen flow as control input. After the stability of the closed-loop system with static output feedback controller is analysed by Lyapunov method, a nonlinear model predictive control based on the Hammerstein-Wiener model is developed to control the stack terminal power of the SOFC system. Simulation results verify the effectiveness of the proposed control method based on the Hammerstein-Wiener model for SOFC system.

• 한국전자파학회논문지
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• 제17권5호
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• pp.408-415
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• 2006

본 논문에서는 RF 전력 증폭기의 메모리 효과를 모델링하기 위한 향상된 시스템 레벨의 모델을 제안하고, 사전 왜곡 선형화기를 적용한 전력 증폭기의 출력 신호의 스팩트럼 밀도를 분석하여 제안한 모델을 검증하였다. 기존의 Three-Box(Wiener-Hammerstein) 모델은 전력 증폭기의 RF 주파수 특성을 입출력 선형 필터를 사용하여 모델링한 것으로, Hammerstein 구조의 사전 왜곡 선형화기를 사용하면 이론적으로 인접 채널 간섭을 모두 제거할 수 있다. 그러나, 실제 전력 증폭기의 경우 RF 주파수 특성 외의 메모리 현상에 의해 주파수 특성만을 보정한 Hammerstein 사전 왜곡기에 의한 인접 채널 간섭비의 향상 정도가 제한적이다. 이러한 출력 스팩트럼 특성은 Three-Box 모델의 메모리 성분을 가지지 않는 비선형 블록을 메모리 다항식으로 바꾸어 준 모델을 사용하여 정확히 예측될 수 있다. IEEE 802.11 g 무선 랜 전력 증폭기에 Hammerstein 구조의 사전 왜곡이 적용된 경우 측정된 인접 채널 스팩트럼 밀도값을 제안된 모델은 ${\pm}30$ MHz의 인접 채널 범위에서 2 dB 이하의 오차로 예측하였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.401-406
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• 2004

In this paper, a new time-domain adaptive predistortion scheme is proposed to compensate for the nonlinearity of high power amplifiers (HPA) in OFDM systems. A complex Wiener-Hammerstein model (WHM) is adopted to describe the input-output relationship of unknown HPA with linear dynamics, and a power series model with memory (PSMWM) is used to approximate the HPA expressed by WHM. By using the PSMWM, the compensation input to HPA is calculated in a real-time manner so that the linearization from the predistorter input to the HPA output can be attained even if the nonlinear input-output relation of HPA is uncertain and changeable. In numerical example, the effectiveness of the proposed method is confirmed and compared with the identification method based on PSMWM.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.124.3-124
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• 2001

The nonlinearity of several chemical processes is usually approximated by a series of the nonlinear static element and the linear subsystem. In the case of the model that the nonlinear static element precedes the linear subsystem, it is called a Hammerstein model. It is a Wiener model when the order is reserved. Here we investigate a relay feedback identification method for Hammerstein type nonlinear processes. The proposed method separates the identification of the nonlinear static function from that of the linear subsystem by using a relay feedback method. From two times activation of nonlinear processes, we identify he whole range of the nonlinear static function as well as the ultimate information of the linear subsystem.

• The Journal of the Acoustical Society of Korea
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• 제15권2E호
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• pp.50-59
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• 1996

In this paper, an adaptive precompensator, which can reduce the distortion of a Wiener system effectively, is proposed. The previous techniques for adaptive precompensation, based on the Volterra series modeling to compensate the distortion of a nonlinear system, are not suitable for real-time implementation due to high computational burden and slow convergence burden and slow convergence rate. This paper presents an adaptive precompensation technique for the class of nonlinear subsystem, referred to as Wiener system. An adaptive algorithm for adjusting the parameters of a precompensator, structured by a hammerstein model, is derived using the stochastic gradient method. Also, an adaptive precompensatin technique which can effectively reduce nonlinear distortion in μ-law type of saturation characteristics is proposed. The validity of the proposed algorithm is confirmed through simulation by applying it to known Wiener systmes and a typical loudspeaker model.

• 대한전자공학회논문지TC
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• 제49권4호
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• pp.9-17
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• 2012

이 논문에서는 광대역 신호에 대한 전력 증폭기의 메모리 효과를 보이고, 메모리 효과와 결합된 비선형성의 보상 방법을 제시하고 그 성능을 분석한다. 메모리 효과와 결합된 전력 증폭기의 모델링과 보상을 위해 볼테라 급수 모델, 위너 모델, 그리고 해머스타인 모델을 검토하였다. 보상 방법으로는 디지털 피드포워드 기술을 제안하였다. 이 방식은 아날로그 방식의 피드포워드 방식에 비해 안정성과 환경 적응성 등이 우수하고, 기존의 디지털 비선형 보상 방식들에 비해 구조가 간단하다. 애질런트사의 ADS를 이용한 모의실험을 통하여 성능을 살펴본 결과 주파수대역 재성장이 20 dB 이상 억압되었으며, 최소한 10 dB 정도의 백-오프 효과가 있음을 확인하였다. 보상 성능, 구현의 복잡도, 수렴 속도 등을 고려할 때 위너 모델이 제안하는 방식에 가장 적합하다는 결론을 내릴 수 있다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.122-127
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• 2003

In this paper, an adaptive predistortion scheme is proposed to compensate nonlinear distortions caused by high power amplifiers (HPA) in OFDM systems. A complex Wiener-Hammerstein model (WHM) is used to describe input-output relationship of HPA with linear dynamics. The predistorter is directly identified by complex power series model with memory, which is an approximate inverse of the HPA expressed by the WHM. The effectiveness of the proposed adaptive compensation scheme is validated by numerical simulation for 64QAM-OFDM systems.

• 한국해양공학회지
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• 제30권3호
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• pp.161-168
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• 2016

This paper presents a methodology through which the time series of the dynamic response of mooring line tension can be predicted without relying on a time-consuming nonlinear time-domain analysis. The mooring line tension for the target short-term sea states was predicted using a Hammerstein-Wiener model, a popular system identification scheme, based upon the pre-calculated motion-tension time history data for some selected short-term sea states that do not overlap with the targeted ones. The obtained mooring line tension was further processed, and a fatigue damage comparison was made between the predicted and calculated values. The results showed that the predicted time series of the mooring line tension matched the calculated one fairly well. Thus, it is expected that the methodology may be employed to enhance the efficiency of mooring line tension analysis.

• 한국정밀공학회지
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• 제33권3호
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• pp.183-190
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• 2016

In this study, we conduct linear and nonlinear modeling of the DC motor driving system of a wheeled mobile robot, which is a nonlinear system involving dead zone, friction, and saturation. The DC motor driving system consists of a DC motor, a wheel, and gears. A linear DC motor driving system is modeled using a steady-state response and parameter measurements. A nonlinear DC motor driving model is identified with the use of the Hammerstein-Wiener method. By using these models, PID controllers for the DC motor system are then established. Each PID controller is applied as a low-level controller in order to achieve posture stabilization control for the real mobile robot. We also compare the performance of the proposed PID controllers in posture stabilization experiments by using several different final robot postures.