Cyber-Physical Energy-Saving Control for Hybrid Aircraft-Towing Tractor Based on Online Swarm Intelligent Programming

被引:57
|
作者
Zhou, Quan [1 ]
Zhang, Yunfan [1 ]
Li, Ziyang [1 ]
Li, Ji [1 ]
Xu, Hongming [1 ]
Olatunbosun, Oluremi [1 ]
机构
[1] Univ Birmingham, Dept Mech Engn, Birmingham B15 2TT, W Midlands, England
基金
英国工程与自然科学研究理事会;
关键词
Chaos-enhanced accelerated particle swarm optimization (CAPSO); cyber physical control; hardware-in-the-loop (HIL) test; plug-in hybrid tractor; real-time integer optimization; MODEL-PREDICTIVE CONTROL; MANAGEMENT STRATEGIES; ELECTRIC POWERTRAIN; VEHICLE; BUS;
D O I
10.1109/TII.2017.2781230
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper researches on a cyber-physical energy-saving control framework for a plug-in hybrid aircraft-towing tractor, in which, an online optimization methodology named the online swarm intelligent programming (OSIP) is proposed. The new methodology obtains real-time optimal control signals from the vehicle to everything (V2X) network, and the widely used charge depleting/charge sustaining strategy is upgraded to a more adaptive and intelligent level. The energy flow of the hybrid aircraft-towing tractor with connectivity is first analyzed and modeled for OSIP. The optimal control problem is then formulated as an online integer optimization and the OSIP algorithm based on chaos-enhanced accelerated swarm optimization is developed to minimize the powertrain power loss in real-time. Finally, the advantages of the new energy management system are demonstrated and evaluated by hardware-in-the-loop testing. The results show that up to 17% fuel and 13% total energy loss can be saved via the proposed cyber-physical control.
引用
收藏
页码:4149 / 4158
页数:10
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