Journal of Jilin University(Engineering and Technology Edition) ›› 2023, Vol. 53 ›› Issue (1): 61-71.doi: 10.13229/j.cnki.jdxbgxb20210596

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Moving horizon optimization control of SCR system based on hierarchical controller

Yao SUN1(),Yun-feng HU1,Jie-min ZHOU2,Huan CHENG2,Ting QU1(),Jing-hua ZHAO1,3,Hong CHEN4   

  1. 1.State Key Laboratory of Automotive Simulation and Control，Changchun 130022，China
    2.Technology Center of Dongfeng Commercial Vehicle，Wuhan 430056，China
    3.College of Computer Science and Technology，Jilin Normal University，Siping 136000，China
    4.College of Electronic and Information Engineering，Tongji University，Shanghai 200092，China
  • Received:2021-06-30 Online:2023-01-01 Published:2023-07-23
  • Contact: Ting QU E-mail:syao@jlu.edu.cn;quting@jlu.edu.cn

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Abstract:

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 NO x emission 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.

Key words: automatic control technology, urea-SCR system, hierarchical controller, model predictive control, triple step tracking controller

CLC Number: 

  • U463.6

Fig.1

Hierarchical controller of SCR system"

Fig.2

Configuration of one cell reduced order SCR model"

Fig.3

One cell CSTR model of SCR system"

Table 1

Parameter identification results"

待辨识参数辨识结果
K1253 480
K2979 000
K3127 900
K433 050
K592 850
E1542.4
E22 450
E35 598
E42 546.8
E510 198
θMAX50

Fig.4

Comparison between simulation result of SCR model and testing results"

Fig.5

Comparative results of first group"

Fig.6

Comparative results of second group"

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