Intelligent transient calibration of a dual-loop EGR diesel engine using chaos-enhanced accelerated particle swarm optimization algorithm

作     者：Zhang, Yunfan Zhou, Quan Li, Ziyang Li, Ji Xu, Hongming 

作者机构：Univ Birmingham Sch Engn Dept Mech Engn Birmingham W Midlands England 

出 版 物：《PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING》 (Proc. Inst. Mech. Eng. Part D J. Automob. Eng.)

年 卷 期：2019年第233卷第7期

页      面：1698-1711页

核心收录：

学科分类：08[工学] 0802[工学-机械工程] 0823[工学-交通运输工程] 

基　　金：EPSRC [EP/J00930X/1] Funding Source: UKRI 

主　　题：Diesel engine multiple-objective optimization particle swarm algorithm transient calibration test bench validation 

摘      要：This article proposes an intelligent transient calibration method for the air-path controller of a light-duty diesel engine. This method is developed based on the chaos-enhanced accelerated particle swarm optimization algorithm. The target is to reduce the engine s fuel consumption during transient scenarios by optimizing the controller parameters. The advanced dual-loop exhaust gas recirculation system is first introduced. Then, it formulates the transient calibration process as a multiple-objective optimization problem with constraints. Different from steady state calibration, the proposed method designs a new cost-function to evaluate the controller s transient performance. The intelligent transient calibration module is programmed in MATLAB code. Interface between the calibration module and a physical engine plant is established via ETAS INCA. The optimization result of the proposal method is discussed by comparing it with the result of existing calibration methods. The engine performance with the calibrated controller is evaluated based on engine tests.