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Park, Yeongseop,Min, Kyounghan,Chung, Jaesung,Sunwoo, Myoungho SAGE Publications 2016 Proceedings of the Institution of Mechanical Engin Vol.230 No.2
<P>In production-type engine control systems for passenger car diesel engines, the mass air flow is commonly used as a feedback variable for control of the exhaust gas recirculation system. However, the mass air flow is not appropriate as a feedback variable for control of the exhaust gas recirculation system because the mass air flow has a weak correlation with the formation of the nitrogen oxide emissions. Another defect of production-type engine control systems is that the emissions-relevant systems are controlled without emissions feedback. In order to address these problems, this study proposes air system control using the intake oxygen concentration as it has a strong correlation with the formation of the nitrogen oxide emissions with nitrogen oxide feedback. The intake oxygen concentration is estimated using a closed-loop observer, and the estimated intake oxygen concentration is used as a feedback variable for control of the exhaust gas recirculation system. The measured nitrogen oxide concentration is used as emissions feedback control. When the measured nitrogen oxide concentration exceeds the reference nitrogen oxide value, emissions feedback control is activated and causes the set value of the intake oxygen concentration to decrease in order to reduce the nitrogen oxide emissions when the measured nitrogen oxide concentration exceeds the typical value. The proposed air system control method is validated with engine experiments, and the nitrogen oxide emissions are reduced by 11.5-39.8% using nitrogen oxide feedback control in various test cases which cause the drift of the nitrogen oxide emissions.</P>
Park, Yeongseop,Park, Inseok,Lee, Joowon,Min, Kyunghan,Sunwoo, Myoungho American Society of Mechanical Engineers 2014 Journal of engineering for gas turbines and power Vol.136 No.4
This paper investigates the design of model-based feedforward compensators for exhaust gas recirculation (EGR) and variable geometry turbocharger (VGT) systems using air path models for a common-rail direct injection (CRDI) diesel engine to cope with the nonlinear control problem. The model-based feedforward compensators generate set-positions of the EGR valve and the VGT vane to track the desired mass air flow (MAF) and manifold absolute pressure (MAP) with consideration of the current engine operating conditions. In the best case, the rising time to reach 90% of the MAF set-point was reduced by 69.8% compared with the look-up table based feedforward compensators.
인공신경망을 이용한 가변 기구 터보차저의 터빈 질량유량 모델링
박영섭(Yeongseop Park),오병걸(Byounggul Oh),이민광(Minkwang Lee),선우명호(Myoungho Sunwoo) 대한기계학회 2010 大韓機械學會論文集B Vol.34 No.8
이 논문에서는 인공신경망을 이용하여 가변 기구 터보차저(VGT)의 터빈 질량유량을 추정하는 모델을 제안하고자 한다. 터빈 질량유량을 추정하기 위한 모델의 입력변수는 VGT 베인 개도량, 엔진 회전속도, 배기매니폴드 압력, 배기매니폴드 온도, 터빈 출구 압력이 사용되었으며, 터빈 입구 유효 단면적을 추정하는 부분에 인공신경망을 적용하였다. 실험을 통하여 이 논문에서 제안한 모델의 터빈 질량유량 추정 성능을 검증하였으며, 터빈 맵을 이용하여 추정한 결과와 비교를 통하여 제안한 모델의 우수성을 확인하였다. In this paper, we propose a turbine mass flow rate model for a variable geometry turbocharger (VGT) using an artificial neural network (ANN). The model predicts the turbine mass flow rate using the VGT vane position, engine rotational speed, exhaust manifold pressure, exhaust manifold temperature, and turbine outlet pressure. The ANN is used for the estimation of the effective flow area. In order to validate the results estimated by the proposed model, we have compared estimation results with engine experimental results. The results, in addition, represent improved estimation accuracy when compared with the performance using the turbine map.
Development of model based EGR mass flow rate estimation algorithm in a diesel engine
Hyunjun Lee,Yeongseop Park,Junsoo Kim,Kangyoon Lee,Myoungho Sunwoo 한국자동차공학회 2010 한국자동차공학회 학술대회 및 전시회 Vol.2010 No.11
Recently, exhaust gas recirculation (EGR) is widely used to reduce NOx emissions in diesel engines. However, an excessive EGR rate in the cylinders leads to increment of particulate matter or misfire. In order to overcome this problem, the EGR mass flow rate should be controlled precisely. To control the EGR mass flow rate accurately, the EGR mass flow rate should be estimated correctly. This paper proposes a method to estimate the EGR mass flow rate based on a mean value engine model (MVEM) including characteristics of air mass flow into intake manifold, EGR mass flow into intake manifold, and air mass flow into cylinders. The MVEM also covers compressor, intercooler, exhaust manifold temperature, and EGR cooler model. The proposed algorithm calculates EGR mass flow rate with sensor outputs from mass-produced engines. The proposed EGR mass flow rate estimation algorithm was validated through simulation results using a 1-D engine model.
Lee, Hyunjun,Park, Yeongseop,Sunwoo, Myoungho Professional Engineering Publishing Ltd 2014 Proceedings of the Institution of Mechanical Engin Vol. No.
<P>Exhaust gas recirculation systems are used in diesel engines to reduce nitrogen oxide emissions. Since excessive recirculation in the cylinders may lead to an increase in generation of particulate matter and to unstable combustion, the exhaust gas recirculation rate should be measured correctly and should be controlled precisely. Unfortunately, the harsh conditions of the exhaust gas recirculation path make it difficult to measure the exhaust gas recirculation mass flow rate directly by using the relevant sensors. Therefore, precise control of the exhaust gas recirculation system depends on accurate estimation of the exhaust gas recirculation rate. To estimate accurately the exhaust gas recirculation rate in a turbocharged diesel engine, we propose an observer based on a model reference identification scheme. A linear parameter-varying model of the intake manifold pressure was derived to serve as the observer’s reference model. An update rule of the observer was designed with the model reference identification scheme. The intake and exhaust temperature models were developed through an empirical approach. Convergence of the proposed observer was proven in terms of the Lyapunov stability criterion. The proposed observer was implemented on a real-time embedded system and validated successfully through experiments on the engine.</P>