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Cyber-Physical Energy-Saving Control for Hybrid Aircraft-Towing Tractor Based on Online Swarm Intelligent Programming
- Source :
- IEEE Transactions on Industrial Informatics. 14:4149-4158
- Publication Year :
- 2018
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2018.
-
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 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.
- Subjects :
- Tractor
business.product_category
Powertrain
Computer science
020209 energy
020208 electrical & electronic engineering
Cyber-physical system
Swarm behaviour
Control engineering
02 engineering and technology
Optimal control
Computer Science Applications
Online optimization
Control and Systems Engineering
0202 electrical engineering, electronic engineering, information engineering
Electrical and Electronic Engineering
business
Energy (signal processing)
Information Systems
Integer (computer science)
Subjects
Details
- ISSN :
- 19410050 and 15513203
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Industrial Informatics
- Accession number :
- edsair.doi...........cb47e7fbf41f7d413ce629b164db790b
- Full Text :
- https://doi.org/10.1109/tii.2017.2781230