基于分层控制器的SCR系统滚动时域优化控制方法  被引量:3

Moving horizon optimization control of SCR system based on hierarchical controller

在线阅读下载全文

作  者:孙耀[1] 胡云峰[1] 周杰敏 程欢 曲婷[1] 赵靖华[1,3] 陈虹 SUN Yao;HU Yun-feng;ZHOU Jie-min;CHENG Huan;QU Ting;ZHAO Jing-hua;CHEN Hong(State Key Laboratory of Automotive Simulation and Control,Changchun 130022,China;Technology Center of Dongfeng Commercial Vehicle,Wuhan 430056,China;College of Computer Science and Technology,Jilin Normal University,Siping 136000,China;College of Electronic and Information Engineering,Tongji University,Shanghai 200092,China)

机构地区:[1]吉林大学汽车仿真与控制国家重点实验室,长春130022 [2]东风商用车技术中心,武汉430056 [3]吉林师范大学计算机学院,吉林四平136000 [4]同济大学电子与信息工程学院,上海200092

出  处:《吉林大学学报(工学版)》2023年第1期61-71,共11页Journal of Jilin University:Engineering and Technology Edition

基  金:国家自然科学基金项目(62103160);吉林省教育厅项目(JJKH20211098KJ);吉林省科技发展计划项目(20210508058RQ)。

摘  要:为保证选择性催化还原(SCR)系统的转化效率并减少尿素消耗量,本文基于氨覆盖率设计了一种新颖的分层控制器,上层为模型预测控制(MPC)氨覆盖率优化控制器,实时优化计算得到的氨覆盖率目标值;下层为三步法非线性跟踪控制器,结合类稳态控制、参考前馈控制、变增益反馈控制跟踪参考目标。在仿真环境与原机电子控制单元(ECU)进行对比验证,分层控制器的关键指标均有所提升,氨逃逸下降超过85%,NO_(x)比排放下降27.4%,尿素消耗量降低5%。结果表明,本文提出的优化方法具有较强的应用价值。To maintain NO_(x)conversion efficiency and reduce urea consumption of urea-SCR system,this paper designed a novel hierarchical controller. The up-level controller was a MPC controller to optimize the target ammonia coverage ratio online. The low-level controller was a triple step method controller to fast track the reference using steady-like control,reference feedforward control and gain-scheduling feedback control. Compare the controller performance in MIL environment and all key indicators improved with the cascaded controller. Ammonia slip decreased over 85%,and specific NOxemission declined 27.4%,while the urea consumption also decreased by 5%. The results show that the optimized strategy proposed in this paper has strong application value.

关 键 词:自动控制技术 尿素SCR系统 分层控制器 模型预测控制 三步法跟踪控制器 

分 类 号:U463.6[机械工程—车辆工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象