Approximate dynamic programming solution for the optimal nitrogen oxides/particulate matter trade-off control of a WAPS engine. (February 2018)

• Record Type: Journal Article
• Authors: Huang, Zhijian; Zheng, Huan; Chen, Wentao; Zhang, Qin; Wu, Qili; Tan, Qinmin; Yang, Zhiyuan
• Is Part Of: Advances in mechanical engineering. Volume 10:Number 2(2018)
• Publication Date: 2018-02
• Subjects: Approximate dynamic programming -- WAPS engine -- optimal -- trade-off -- emission control -- nitrogen oxides -- particulate matter; Mechanical engineering -- Periodicals; 621.05
• DOI: 10.1177/1687814017751781
• Languages: English
• ISSNs: 1687-8132

Abstract

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-T weifu 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.