Abstract
This paper presents a new control algorithm for the coordinated path following problem of car like vehicles. The vehicles are represented by an extended kinematic bicycle model which includes sideslip angles. A nonlinear control law has been designed using Lyapunov approach, and the controller implementation requires knowledge of sideslip angles. A Raghavan observer is introduced in order to observe the vehicle sideslip angles that are typically not directly measured in practice. Trajectory tracking tasks, such as, convergence to a desired path and moving at a desired speed, are defined, along with coordination objectives, such as collision avoidance. The main contribution of this paper stems from the inclusion of the extended kinematic bicycle model in the development, which provides a more accurate model at high speed maneuvers, and the expansion of the null space behavior (NSB) algorithm to the car-like vehicle.
| Original language | English |
|---|---|
| Title of host publication | 2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014 |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 1805-1810 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781479951994 |
| DOIs | |
| State | Published - 1 Jan 2014 |
| Event | 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014 - Singapore, Singapore Duration: 10 Dec 2014 → 12 Dec 2014 |
Publication series
| Name | 2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014 |
|---|
Conference
| Conference | 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014 |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 10/12/14 → 12/12/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 11 Sustainable Cities and Communities
Keywords
- autonomous vehicle
- formation control
- intelligent transportation systems (ITS)
- null space behavioral control (NSB)
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Human-Computer Interaction
- Artificial Intelligence
- Control and Systems Engineering
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