TY - GEN
T1 - Nonlinear Traction Control Design, Stability Analysis and Experiments for Vehicles with On-Demand 4WD Torque Bias Systems
AU - Reichensdorfer, Elias
AU - Degel, Wolfgang
AU - Odenthal, Dirk
AU - Wollherr, Dirk
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - Recent developments in control design, system architecture and control module communication have significantly improved traction control systems for vehicles with single axle drive. No such results are available for the four-wheel drive case, using an electronic transfer case, yet. In this work, we therefore extend these developments and propose a coupled input-output linearization controller for vehicles with four-wheel drive, while taking into account the torsional dynamics of the crankshaft. Global, parameter independent stability is shown for the resulting zero dynamics, which has not been considered by previous work. Experiments in a test vehicle are used to evaluate the proposed control system. It is shown that the approach successfully solves the task of traction control for vehicles with on-demand four-wheel drive torque bias systems and is able to outperform classical techniques.
AB - Recent developments in control design, system architecture and control module communication have significantly improved traction control systems for vehicles with single axle drive. No such results are available for the four-wheel drive case, using an electronic transfer case, yet. In this work, we therefore extend these developments and propose a coupled input-output linearization controller for vehicles with four-wheel drive, while taking into account the torsional dynamics of the crankshaft. Global, parameter independent stability is shown for the resulting zero dynamics, which has not been considered by previous work. Experiments in a test vehicle are used to evaluate the proposed control system. It is shown that the approach successfully solves the task of traction control for vehicles with on-demand four-wheel drive torque bias systems and is able to outperform classical techniques.
UR - http://www.scopus.com/inward/record.url?scp=85082484455&partnerID=8YFLogxK
U2 - 10.1109/CDC40024.2019.9029548
DO - 10.1109/CDC40024.2019.9029548
M3 - Conference contribution
AN - SCOPUS:85082484455
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 6669
EP - 6674
BT - 2019 IEEE 58th Conference on Decision and Control, CDC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 58th IEEE Conference on Decision and Control, CDC 2019
Y2 - 11 December 2019 through 13 December 2019
ER -