An improved sliding mode control (SMC) approach for enhancement of communication delay in vehicle platoon system. Issue 7 (28th April 2022)
- Record Type:
- Journal Article
- Title:
- An improved sliding mode control (SMC) approach for enhancement of communication delay in vehicle platoon system. Issue 7 (28th April 2022)
- Main Title:
- An improved sliding mode control (SMC) approach for enhancement of communication delay in vehicle platoon system
- Authors:
- Li, Handong
Wu, Haimeng
Gulati, Ishita
Ali, Saleh A.
Pickert, Volker
Dlay, Satnam - Abstract:
- Abstract: Vehicle platoon systems are widely recognized as key enablers to address mass‐transport. Vehicle‐to‐vehicle (V2V) and vehicle‐to‐infrastructure (V2I) are two technologies that drive platooning. The inter‐vehicle spacing and collaboration velocity in the platoon are important parameters that must be controlled. A new mass‐transport system called the Tracked Electric Vehicles (TEV) has been proposed which has reduced the inter‐vehicular spacing to only a quarter of the regular car length. This enables mass transport at uniform speed for cars with speed of 200km/h. However, conventional radar based adaptive cruise control (ACC) system fail to control each vehicle in these scenarios. Lately, sliding mode control (SMC) has been applied to control platoons with communication technology but with low speed and without delay. This paper proposes a novel SMC design for TEV using global dynamic information with the communication delay. Also, graph theory has been employed to investigate different V2V communication topology structures. To address issues of node vehicle stability and string stability, Lyapunov candidate function is chosen and developed. Additionally, this paper uses first‐order vehicle models with different acceleration/deceleration parameters for simulation validations under communication delay. The results show that this SMC has a significant tolerance ability and meets the design requirements of TEV.
- Is Part Of:
- IET intelligent transport systems. Volume 16:Issue 7(2022)
- Journal:
- IET intelligent transport systems
- Issue:
- Volume 16:Issue 7(2022)
- Issue Display:
- Volume 16, Issue 7 (2022)
- Year:
- 2022
- Volume:
- 16
- Issue:
- 7
- Issue Sort Value:
- 2022-0016-0007-0000
- Page Start:
- 958
- Page End:
- 970
- Publication Date:
- 2022-04-28
- Subjects:
- Intelligent transportation systems -- Periodicals
Electronics in transportation -- Periodicals
388.31205 - Journal URLs:
- http://digital-library.theiet.org/content/journals/iet-its ↗
http://ieeexplore.ieee.org/servlet/opac?punumber=4149681 ↗
http://www.ietdl.org/IET-ITS ↗
https://ietresearch.onlinelibrary.wiley.com/journal/17519578 ↗
http://www.theiet.org/ ↗ - DOI:
- 10.1049/itr2.12189 ↗
- Languages:
- English
- ISSNs:
- 1751-956X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4363.252700
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21785.xml