Overview
- Offers a collection of robust applied off-road vehicle guidance methodologies for all forms of ground vehicles currently in use
- Provides substantial theoretical improvements on novel vehicle guidance methodologies, which have been implemented in field vehicles, and experimentally verifies their benefits
- Presents software architectures that allow the reader to implement the methodologies on Linux or Windows operating systems
Part of the book series: Springer Tracts in Advanced Robotics (STAR, volume 138)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (6 chapters)
Keywords
About this book
The book covers a variety of vehicle types, including wheeled vehicles, tracked vehicles, wheeled and tracked vehicles towing trailers, and four-wheel-steer and four-wheel-drive vehicles. It also covers active trailers that are driven and steered. Vehicles used in agriculture, mining and road construction are subjected to unpredictable and significant disturbances. The robust control methodologies presented can successfully compensatefor these disturbances, as confirmed by the experimental results presented. Though the majority of the methodologies presented are based on sliding-mode controllers, other robust control methodologies are also discussed. To help the reader decide which controller is best suited for his/her choice of vehicle, experimental results are presented in a comparative format.
Authors and Affiliations
Bibliographic Information
Book Title: Applied Guidance Methodologies for Off-road Vehicles
Authors: Javad Taghia, Jayantha Katupitiya
Series Title: Springer Tracts in Advanced Robotics
DOI: https://doi.org/10.1007/978-3-030-42359-9
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-42358-2Published: 01 May 2020
Softcover ISBN: 978-3-030-42361-2Published: 01 May 2021
eBook ISBN: 978-3-030-42359-9Published: 01 May 2020
Series ISSN: 1610-7438
Series E-ISSN: 1610-742X
Edition Number: 1
Number of Pages: XIV, 137
Number of Illustrations: 20 b/w illustrations, 45 illustrations in colour