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

Quan Zhou, Yunfan Zhang, Ziyang Li, Ji Li, Hongming Xu, Oluremi Olatunbosun

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)
250 Downloads (Pure)

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.

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

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Electrical and Electronic Engineering

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