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首页> 外文会议>2014 International Conference on Mechatronics and Control >NOx sensor ammonia-cross-sensitivity factor estimation in Diesel engine selective catalytic reduction systems
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NOx sensor ammonia-cross-sensitivity factor estimation in Diesel engine selective catalytic reduction systems

机译：柴油机选择性催化还原系统中NO x 传感器氨交叉敏感性因子的估算

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摘要

In this paper, the NO sensor ammonia-cross-sensitivity factor observer design problem is studied for the applications in Diesel engine selective catalyst reduction (SCR) systems. Since the NO sensor is cross-sensitive to gaseous ammonia, this phenomenon restricts the application of NO sensor in the SCR system. A practical and economic approach is to design an observer to estimate the cross-sensitivity factor and correct the NO 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.
机译：本文针对柴油机选择性催化还原（SCR）系统中的应用研究了NO传感器氨交叉敏感因子观测器的设计问题。由于NO传感器对气态氨具有交叉敏感性，因此这种现象限制了NO传感器在SCR系统中的应用。一种实用且经济的方法是设计观察者以估计交叉敏感度因子并校正NO传感器读数。首先，采用了SCR系统的三态非线性模型。假设与温度相关的交叉敏感度因子的q阶导数为零。然后，基于非线性模型，提出了该因子的比例-积分-积分（PMI）观测器，并获得了非线性估计误差系统。利用线性参数变化（LPV）技术，研究了非线性估计误差系统的稳定性，并开发了观测器增益的设计方法。最后，通过经过实验验证的全车辆模拟器进行仿真和比较，以说明所提出方法相对于现有方法的有效性和优势。

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