基于尿素选择催化还原系统的氨覆盖率非线性降维观测器设计

发布时间：2018-01-23 19:31

本文关键词： 人工智能降维观测器非线性输入-状态稳定性氨覆盖率估计　出处：《吉林大学学报(工学版)》2017年02期 　论文类型：期刊论文

【摘要】：针对尿素选择性催化还原(urea-SCR)系统氨覆盖率状态变量不可测量问题,在输入-状态稳定性理论(ISS)框架下设计了一款降维观测器。为保证观测器误差动态的鲁棒性,将温度、废气流量传感器测量等模型误差看作外部扰动,在ISS理论框架下进行了分析。为了提高观测器对噪声的鲁棒性并减少估计的静态误差,本文通过线性矩阵不等式(LMI)和凸优化得到了尽可能小的观测器增益。在enDYNA精确发动机模型的FTP75测试循环下进行了瞬态仿真,与普通的机理观测器对比表明,本文提出的降维观测器对外界干扰和参数不确定性具有更强的鲁棒性。
[Abstract]:The unmeasurable state variables of ammonia coverage in urea selective catalytic reduction (URA-SCR) system are discussed. A reduced-order observer is designed under the framework of the input-state stability theory (ISS). In order to ensure the robustness of the observer error, the model errors such as temperature and exhaust gas flow sensor measurement are regarded as external disturbances. In order to improve the robustness of the observer to the noise and reduce the static error of the estimation, the analysis is carried out under the framework of ISS theory. The observer gain is obtained as small as possible by linear matrix inequality (LMI) and convex optimization. The transient simulation is carried out under the FTP75 test cycle of the enDYNA precise engine model. Compared with the conventional mechanism observer, the reduced order observer presented in this paper is more robust to external disturbance and parameter uncertainty.
【作者单位】：吉林大学汽车仿真与控制国家重点实验室;吉林师范大学计算机学院;吉林大学通信工程学院;
【基金】：国家自然科学基金项目(61374046;61520106008) 吉林省教育厅“十三五”科学研究项目(吉教科合字[2016]第223号)
【分类号】：TQ050.2;TP13
【正文快照】： 0引言由于柴油机稀燃的特性,将产生更多的微粒(PM)和NOx[1]。为满足未来日益严格的NOx和PM排放法规限制,仅仅靠柴油机的缸内减排技术是无法做到的,排放后处理技术似乎是必须的[2]。近年来,多种为降低NOx的排放后处理系统中就包括urea-SCR系统[3]。凭借其工作不需额外燃油,而且

【相似文献】