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首页> 外文会议>IEEE Conference on Control Technology and Applications >LPV-Based Real-Time Intake Oxygen Fraction Estimation of a Turbocharged Diesel Engine with EGR
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LPV-Based Real-Time Intake Oxygen Fraction Estimation of a Turbocharged Diesel Engine with EGR

机译：基于LPV的带有EGR的涡轮增压柴油机实时进气氧分率估算

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This paper utilizes a Kalman filter observer schemes to estimate the intake manifold oxygen fraction (IOF) of a turbocharged diesel engine with exhaust gas re-circulation (EGR) in real-time. The IOF has a strong correlation with the diesel engine NOx emissions and it is a good feedback candidate for closed-loop NOx control. The dynamics of target diesel engine air-path system is analyzed and used for developing a linear parameter-varying (LPV) model for the observer design. The LPV model based Kalman filter observer is developed and the tuning method for noise covariance matrices is studied to optimize the estimator performance. The estimation performance at steady-state and transient conditions (HD FTP cycle) are validated in a co-simulation environment using GT-SUITE and MATLAB/SIMULINK.
机译：本文利用卡尔曼过滤器观测器方案实时估算带有废气再循环（EGR）的涡轮增压柴油机的进气歧管氧分数（IOF）。 IOF与柴油机NOx排放有很强的相关性，它是闭环NOx控制的良好反馈候选者。分析目标柴油机风道系统的动力学特性，并将其用于开发用于观察者设计的线性参数变化（LPV）模型。开发了基于LPV模型的卡尔曼滤波器观测器，研究了噪声协方差矩阵的调整方法，以优化估计器的性能。使用GT-SUITE和MATLAB / SIMULINK在协同仿真环境中验证了稳态和瞬态条件（HD FTP周期）下的估计性能。

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