Cyber-physical energy-saving control for hybrid aircraft-towing tractor based on online swarm intelligent programming

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Abstract

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 V2X network and the widely-used Charge Depleting/Charge Sustaining (CD/CS) strategy is upgraded to a more adaptive and intelligent level. The energy-flow of the hybrid aircraft-towing tractor with connectivity is firstly analysed and modelled 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 (CAPSO) 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.

Details

Original languageEnglish
Pages (from-to)4149-4158
Number of pages10
JournalIEEE Transactions on Industrial Informatics
Volume14
Issue number9
Early online date8 Dec 2017
Publication statusPublished - 1 Sep 2018

Keywords

  • Chaos-enhanced Accelerated Particle Swarm Optimization, Cyber Physical Control, Hardware-In-the-Loop Test, Plug-in Hybrid Tractor, Real-time Integer Optimization