A Novel Relative Navigation Control Strategy Based on Relation Space Method for Autonomous Underground Articulated Vehicles
Joint Authors
Dou, Fengqian
Meng, Yu
Liu, Li
Gu, Qing
Source
Journal of Control Science and Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-11
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
This paper proposes a novel relative navigation control strategy based on the relation space method (RSM) for articulated underground trackless vehicles.
In the RSM, a self-organizing, competitive neural network is used to identify the space around the vehicle, and the spatial geometric relationships of the identified space are used to determine the vehicle’s optimal driving direction.
For driving control, the trajectories of the articulated vehicles are analyzed, and data-based steering and speed control modules are developed to reduce modeling complexity.
Simulation shows that the proposed RSM can choose the correct directions for articulated vehicles in different tunnels.
The effectiveness and feasibility of the resulting novel relative navigation control strategy are validated through experiments.
American Psychological Association (APA)
Dou, Fengqian& Meng, Yu& Liu, Li& Gu, Qing. 2016. A Novel Relative Navigation Control Strategy Based on Relation Space Method for Autonomous Underground Articulated Vehicles. Journal of Control Science and Engineering،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1107877
Modern Language Association (MLA)
Dou, Fengqian…[et al.]. A Novel Relative Navigation Control Strategy Based on Relation Space Method for Autonomous Underground Articulated Vehicles. Journal of Control Science and Engineering No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1107877
American Medical Association (AMA)
Dou, Fengqian& Meng, Yu& Liu, Li& Gu, Qing. A Novel Relative Navigation Control Strategy Based on Relation Space Method for Autonomous Underground Articulated Vehicles. Journal of Control Science and Engineering. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1107877
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1107877