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윤마루,이우택,선우명호 한국자동차공학회 2005 International journal of automotive technology Vol.6 No.2
A distributed hardware-in-the-loop simulation (HILS) platform is developed for designing an automotiveengine control system. The HILS equipment consists of a widely used PC and commercial-off-the-shelf (COTS) I/Oboards instead of a powerful computing system and custom-made I/O boards. The distributed structure of the HILS systemsupplements the lack of computing power. These features make the HILS equipment more cost-effective and flexible. TheHILS uses an automatic code generation extension, REAL-TIME WORKSHOP(RTW) of MATLABtool-chain andRT-LAB, which enables distributed simulation as well as the detection and generation of digital event between simulationtime steps. The mean value engine model, which is used in control design phase, is imported into this HILS. The enginemodel is supplemented with some I/O subsystems and I/O boards to interface actual input and The I/O subsystems are designed to imitate real sensor signals with high fidelity as well as to convert the raw data of theI/O boards to the appropriate forms for proper interfaces. A lot of attention is paid to the generation of a precise crank/cam signal which has the problem of quantization in a conventional fixed time step simulation. The detection of injection/command signal which occurs between simulation time steps are also successfully compensated. In order to prove thefeasibility of the proposed environment, a simple PI controller for an air-to-fuel ratio (AFR) control is used. The proposedHILS environment and I/O systems are shown to be an efficien rol functions and to validatethe software and hardware of the engine control system.
[디젤엔진부문] 신경회로망을 이용한 HSDI Common-rail 인젝터의 모델링
윤마루(Maru Yoon),박승범(Seungbum Park),선우명호(Myoungho Sunwoo) 한국자동차공학회 2001 한국자동차공학회 춘 추계 학술대회 논문집 Vol.2001 No.11_1
This study presents the process of the solenoid parameter estimation of an common-rail injector for HSDI(High Speed Direct Injection) diesel engines. The EMF(Electromotive Force) and solenoid inductance are the major parameters for presenting the injector dynamics, and also these parameters are estimated by using a multi-layer feedforward neural networks. The performance of parameter estimator is verified by the simulation with injector model. The feasibility of this methodology is closely examined through the simulation in the various operating points of injector. The simulation results have revealed that estimated parameters show favorable agreements with the common-rail injector model
프랙탈과 웨이브릿 변환을 이용한 효율적이고 강인한 워터마킹 기법
윤마루(Ma-ru Youn),이윤정(Yoon-Jung Lee),김태윤(Tae-Yun Kim) 한국정보과학회 2001 한국정보과학회 학술발표논문집 Vol.28 No.1A
본 논문에서는 웨이브릿 변환과 프랙탈 변환을 함께 적용하여 강인하고 효율적인 워터마킹 방법을 제안하였다. 종래의 방법과 같이 프랙탈 변환만을 이용할 경우 강인함에 비하여 속도가 느리다는 단점이 있다. 크기가 큰 원래 이미지를 프랙탈 변환하지 않고 상대적으로 크기가 적은 워터마크 이미지를 프랙탈 변환함으로서 변환에 걸리는 시간을 줄일 수 있다. 또한 웨이브릿 변환 영역에서 임계치에 의해 삽입에 이용할 계수를 선택적으로 사용함으로써 적절한 대역에 삽입하여 시각적인 왜곡을 최소화 할 수 있다.
DEVELOPMENT OF A NEW MISFIRE DETECTION SYSTEM USINGNEURAL NETWORK
이민광,윤마루,선우명호,박승범,이기상 한국자동차공학회 2006 International journal of automotive technology Vol.7 No.5
The detection of engine misfire events is one of major concerns in engine control due to its negative effecton air pollution and engine performance. In this paper, a misfire detection system based on crankshaft angular speed fluctuation is developed. Synthetic variable method is adopted for the preprocessing of crankshaft angular speed. This crankshaft rotational speed or acceleration after virtually removing the effect of the internal inertia forces from the measured crankshaft speed signals. The detection system is developed using neural network with the revised synthetic angular acceleration as input which is derived from the preprocessing. Mathematical simulation is carried out for developing and verifying the misfire detection system. Finally, the reliability of the developed system is validated through an experiment.
류정환,윤마루,선우명호 한국자동차공학회 2006 International journal of automotive technology Vol.7 No.6
This paper presents a network-based traction control system (TCS), where several electric control units (ECUs) are connected by a controller area network (CAN) communication system. The control system consists of four ECUs: the electric throttle controller, the transmission controller, the engine controller and the traction controller. In order to validate the traction control algorithm of the network-based TCS and evaluate its performance, a Hardware-In-the-Loop Simulation (HILS) environment was developed. Herein we propose a new concept of the HILS environment called the network-based HILS (Net-HILS) for the development and validation of network-based control systems which include smart sensors or actuators. In this study, we report that we have designed a network-based TCS, validated its algorithm and evaluated its performance using Net-HILS.
이민광(Minkwang Lee),윤마루(Maru Yoon),선우명호(Myoungho Sunwoo),박승범(Seungbum Park),이기상(Kisang Lee) 한국자동차공학회 2005 한국자동차공학회 Symposium Vol.- No.-
The detection of engine misfire events is one of major concerns in engine control due to its negative effect on air pollution and engine performance. In this paper, a misfire detection system based on crankshaft angular speed fluctuation is developed. Synthetic variable method is adopted for the preprocessing of crankshaft angular speed. This method successfully estimates the work output of each cylinder by finding the effect of combustion energy on the crankshaft rotational speed or acceleration after virtually removing the effect of the internal inertia forces from the measured crankshaft speed signals. The detection system is developed using neural network with the revised synthetic angular acceleration as input which is derived from the preprocessing. Mathematical simulation is carried out for developing and verifying the misfire detection system. Finally, the reliability of the developed system is validated through an experiment.
HILS를 이용한 구동력 제어시스템의 알고리즘 검증 및 성능평가
류정환(Junghwan Ryu),윤마루(Maru Yoon),선우명호(Myoungho Sunwoo) 한국자동차공학회 2004 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
This paper presents a network-based traction control system(TCS), where several electric control units(ECUs) are connected by a controller area network(CAN) communication manner. The control system consists of four ECUs, which are the electric throttle controller, the transmission controller, the engine controller and the traction controller. In order to validate a traction control algorithm and evaluate the performance of the network-based TCS, a distributed Hardware-In-the-Loop Simulation(HILS) environment has been realized. Conclusively this paper presents the integrated HILS environment named by the network-based HILS(Net-HILS), which consists of a distributed HILS and a network-based control system.