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[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
차체제어시스템 개발을 위한 네트워크기반 HILS 환경 개발
이민광(minkwang Lee),윤마루(Maru Yoon),신민석(Minsuk Shin),선우명호(Myoungho Sunwoo) 한국자동차공학회 2004 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
The Hardware-In-the-Loop Simulation(HILS) is a technique whereby real control systems can be evaluated against simulations of the plant-under-control. This reduces dependence on a prototype plant, especially in the early stages of development process, and therefore reduces the time, effort and resources required to build and support control systems. For these reasons, the utilization of HILS has been increasing in many fields of research. In this paper, mathematical models of body system are derived and controllers are designed for body system HILS based on Network. Using autocode generation. the models and controllers are downloaded to the target computers and Electronic Control Unit (ECU). In addition, the network based body control system is implemented via CAN protocol.
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.
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.
강상민(Sangmin Kang),윤마루(Maru Yoon),선우명호(Myoungho Sunwoo) 한국자동차공학회 2003 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
The purpose of an engine-control TCS is to regulate engine torque in order to keep driven wheel slip in a desired range. Engine torque can be regulated by a throttle valve. In this paper, the engine-control TCS based on an engine model and estimated load torque by a Luenberger observer is proposed. For this control scheme, the engine model is required for model-based controller design using sliding mode control. Engine torque controller determines throttle angle for maintaining the desired manifold pressure to generate engine torque corresponding to the desired wheel torque. Since the load torque is composed of the external sources such as friction force, drag force, mechanical losses, and others, load torque estimation is required. The simulation results in various maneuvers during slippery and split road conditions have showed the better acceleration performance and stability of the vehicle with TCS. In addition, the load torque observer has estimated real load torque by 0.1 -0.2% RMSE(root mean square error).
남기훈(Kihoon Nam),박승범(Seungbum Park),윤마루(Maru Yoon),선우명호(Myoungho Sunwoo) 한국자동차공학회 2002 한국자동차공학회 Symposium Vol.2002 No.11
The common-rail fuel injection system is becoming a common technology for High Speed Direct Injection(HSDI)<br/> diesel engine. Since the performance of HSDI diesel engine is mainly determined by injection timing and rate, the<br/> precise control of the injection timing and rate is important. This study introduces a methodology for estimate of the<br/> injection timing and rate of a common-rail injector for HSDI diesel engine. A sliding mode observer is designed to<br/> overcome the model uncertainties, based on the nonlinear mathematical model of the common-rail injector. The<br/> injector model and the estimator are verified by relevant injector experiments in an injector test bench. The<br/> simulation and the experimental results indicate that the proposed sliding mode observer can effectively estimate the<br/> injection rate of the common-rail injector.