Approximate dynamic programming solution for the optimal nitrogen oxides/particulate matter trade-off control of aWAPS engine

作者：Huang, Zhijian^*; Zheng, Huan; Chen, Wentao; Zhang, Qin; Wu, Qili; Tan, Qinmin; Yang, Zhiyuan

来源：Advances in Mechanical Engineering, 2018, 10(2): 1687814017751781.

DOI：10.1177/1687814017751781

• Approximate dynamic programming
• WAPS engine
• optimal
• trade-off
• emission control
• nitrogen oxides
• particulate matter

Approximate dynamic programming is an effective optimal control method. This article researches a data-driven approximate dynamic programming. The method is extended to a nonlinear multi-input multi-output form. Using the data from a unique 4JB1-Tweifu accumulator pump system (WAPS) engine, the developed approximate dynamic programming controller is trained to achieve its optimal trade-off emission control between the nitrogen oxides and particulate matter. The convergent proof of this method is given. The second-order training algorithm is introduced to promote the robust and convergent performance. The control objective is to let the WAPS engine pass the China State-IV emission test under the New European Drive Cycle. The bench test shows that an excellent control transient performance and significant promotion have been achieved. This article presents a new approach for the engine control and calibration. In addition, it also adds another dimension to the existing literature on the data-driven nonlinear multi-input multi-output trade-off emission control of the WAPS engine.

• 出版日期2018-2-23
• 单位上海海事大学