Experimental Validation of Yaw Stability Control Strategies for Articulated Vehicle Combinations
Paper in proceeding, 2024
Articulated Heavy Vehicles (AHVs) play a crucial role in today's transportation, offering significant commercial and environmental advantages. However, challenges like jackknifing and trailer swing in AHVs highlight the need for focused research. This paper introduces innovative yaw stability algorithms designed to tackle these concerns, employing advanced control allocation techniques, including distributed control allocation. A power loss minimization algorithm with four different methods to maintain yaw stability is tested with real test vehicles. In this framework, the algorithms ensure that control actions stay within predetermined safe limits, contributing significantly to the overall safety and efficiency of AHVs.
Author
Umur Erdinc
Volvo Group
Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Engineering and Autonomous Systems
Mats Jonasson
Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Engineering and Autonomous Systems
Maliheh Sadeghi Kati
Chalmers, Electrical Engineering, Systems and control
Leo Laine
Volvo Group
Chalmers, Mechanics and Maritime Sciences (M2)
Bengt J H Jacobson
Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Engineering and Autonomous Systems
Jonas Fredriksson
Chalmers, Electrical Engineering, Systems and control
IEEE Intelligent Vehicles Symposium, Proceedings
19310587 (ISSN) 26427214 (eISSN)
1476-14839798350348811 (ISBN)
35th IEEE Intelligent Vehicles Symposium, IV 2024
Jeju Island, South Korea,
Jeju Island, South Korea,
MULTITRAILER - Control allocation for electrical propulsion in long vehicle combinations
VINNOVA (2020-05144), 2021-04-01 -- 2024-03-31.
Subject Categories
Vehicle Engineering
Control Engineering
DOI
10.1109/IV55156.2024.10588717