Open AccessDesigning LQR Controllers for an Active Anti-roll Bar System with a Flexible Frame Model of a Single Unit Heavy Vehicle
Author(s) -
Vũ Văn Tấn,
Van Da Tran,
Quốc Trung Phạm,
Manh Hung Truong,
Olivier Sename,
Péter Gáspár
Publication year - 2021
Publication title -
periodica polytechnica. transportation engineering (print)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.388
H-Index - 15
eISSN - 1587-3811
pISSN - 0303-7800
DOI - 10.3311/pptr.18572
Subject(s) - rollover (web design) , bar (unit) , frame (networking) , engineering , electronic stability control , control theory (sociology) , process (computing) , automotive engineering , vehicle dynamics , control system , stability (learning theory) , computer science , control (management) , mechanical engineering , physics , electrical engineering , artificial intelligence , machine learning , world wide web , meteorology , operating system
Rollover accidents of heavy vehicles often cause serious consequences both in terms of vehicle and environmental damage as well the loss or injury of drivers, passengers and ordinary civilians. Currently, the active anti-roll bar system is considered as the most effective solution in enhancing vehicle roll stability. In this paper, we firstly investigated the role of a flexible frame of a single unit heavy vehicle in the rollover process. This approach is an important step forward in the research of the active anti-roll bar system. Then, the LQR control method is applied in designing controllers for the active anti-roll bar control system with this frame model. The active torque of the anti-roll bar system is considered as the control signal. The simulation results in the frequency and time domains with a double lane change maneuver show that the vehicle’s roll stability is improved by over 30 % compared to a vehicle using a passive anti-roll bar system.