柴油机选择性催化还原系统中NOx传感器氨交叉敏感性因子估算

Hui Zhang
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引用次数: 24

摘要

针对柴油机选择性催化剂还原(SCR)系统中NOx传感器氨交叉敏感因子观测器的设计问题进行了研究。由于NOx传感器对气态氨交叉敏感,这一现象限制了NOx传感器在可控硅系统中的应用。一个实用和经济的方法是设计一个观测器来估计交叉敏感因子和校正氮氧化物传感器读数。首先,对可控硅系统采用三态非线性模型。假定与温度相关的交叉敏感因子的第五阶导数为零。然后,基于非线性模型,提出了因子的比例-多重积分观测器,得到了非线性估计误差系统。利用线性变参技术研究了非线性估计误差系统的稳定性,提出了观测器增益的设计方法。最后,通过实验验证的整车模拟器进行了仿真和比较,以说明该方法相对于现有方法的有效性和优势。
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NOx sensor ammonia-cross-sensitivity factor estimation in Diesel engine selective catalytic reduction systems
In this paper, the NOx sensor ammonia-cross-sensitivity factor observer design problem is studied for the applications in Diesel engine selective catalyst reduction (SCR) systems. Since the NOx sensor is cross-sensitive to gaseous ammonia, this phenomenon restricts the application of NOx sensor in the SCR system. A practical and economic approach is to design an observer to estimate the cross-sensitivity factor and correct the NOx sensor reading. Firstly, a three-state nonlinear model for the SCR system is adopted. It is assumed that the qth-order derivative of the temperature-dependent cross-sensitivity factor is zero. Then, based on the nonlinear model, a proportional-multiple-integral (PMI) observer of the factor is proposed and a nonlinear estimation error system is obtained. With the linear-parameter-varying (LPV) technique, the stability of the nonlinear estimation error system is investigated and the design method of the observer gains is developed. At the end, simulations and comparisons via an experimentally-validated full vehicle simulator are done to illustrate the efficacy and the advantages of the proposed approach over the existing methods.
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