Application of iterative learning control in tracking a Dubin’s path in parallel parking
Application of iterative learning control in tracking a Dubin’s path in parallel parking
- Neue Suche nach: Panomruttanarug, Benjamas
- Neue Suche nach: Panomruttanarug, Benjamas
Abstract Intelligent parking assist systems will soon be available for most vehicles on the market. Many optimal parking trajectories and control strategies have been proposed for reverse parking. However, most of these require intensive computation, causing difficulties in practical use. This paper makes use of a classical path planning method to find the shortest parking path, and establishes the possibility of integrating iterative learning control (ILC) to exploit the capability of learning from experience to track the designed path. The effectiveness of the ILC structure is demonstrated by simulation and experiments. Tracking performance is shown to be much improved by using a simple learning control law.
Dokumentinformationen
Application of iterative learning control in tracking a Dubin’s path in parallel parking
International Journal of Automotive Technology ; 18 , 6 ; 1099-1107
2017-08-05
9 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Ähnliche Titel
Application of iterative learning control in tracking a Dubin’s path in parallel parking
| British Library Online Contents | 2017
Application of iterative learning control in tracking a Dubin’s path in parallel parking
| Online Contents | 2017
Path Tracking and Control for Parallel Parking
| IEEE | 2020
Parallel Parking Path Planning and Tracking Control Based on Adaptive Algorithms
| Springer Verlag | 2021
Path Tracking for Driverless Vehicle Under Parallel Parking Based on Model Predictive Control
| SAE Technical Papers | 2021