Autonomous Drifting Using Torque Vectoring: Innovating Active Safety

Recent years have seen a rapid proliferation of new concepts and technologies related to automated cars, which could significantly contribute to enhance vehicle passenger safety. Among those, autonomous drifting is a promising idea that takes the control possibilities of a vehicle beyond what is currently achievable by active safety systems such as Electronic Stability Control (ESC). This paper explores for the first time the use of torque vectoring in autonomous drifting vehicles with multiple motors. The idea is to keep the vehicle drifting along a predefined path, with desired sideslip angle and vehicle speed. Considering a rear-wheel-driven vehicle with one motor per each rear wheel, a 3-wheel vehicle model with load transfers is used. The control formulation is a feedforward action coupled with a Linear Quadratic Regulator (LQR) based on a steady-state linearization of the vehicle dynamics. Experimental results on the full-scale prototype MARTY demonstrate the actual feasibility of the concept, with very good tracking performance in steady-state conditions - as per design - and along more challenging quasi-equilibrium trajectories.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Intelligent Transportation Systems
Published
2024-08-26
DOI
https://doi.org/10.1109/tits.2024.3437177
Citations
13
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
2.64
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Autonomous Drifting Using Torque Vectoring: Innovating Active Safety

Tushar Goel, Basilio Lenzo, J. Christian Gerdes
13 citations
IEEE Transactions on Intelligent Transportation Systems
Vehicle Dynamics and Control Systems
2.64
article

Autonomous Drifting Using Torque Vectoring: Innovating Active Safety

Tushar Goel, Basilio Lenzo, J. Christian Gerdes
article en
13 citations

Abstract

Recent years have seen a rapid proliferation of new concepts and technologies related to automated cars, which could significantly contribute to enhance vehicle passenger safety. Among those, autonomous drifting is a promising idea that takes the control possibilities of a vehicle beyond what is currently achievable by active safety systems such as Electronic Stability Control (ESC). This paper explores for the first time the use of torque vectoring in autonomous drifting vehicles with multiple motors. The idea is to keep the vehicle drifting along a predefined path, with desired sideslip angle and vehicle speed. Considering a rear-wheel-driven vehicle with one motor per each rear wheel, a 3-wheel vehicle model with load transfers is used. The control formulation is a feedforward action coupled with a Linear Quadratic Regulator (LQR) based on a steady-state linearization of the vehicle dynamics. Experimental results on the full-scale prototype MARTY demonstrate the actual feasibility of the concept, with very good tracking performance in steady-state conditions - as per design - and along more challenging quasi-equilibrium trajectories.

IEEE Transactions on Intelligent Transportation SystemsVol. 25(11)
University of Padua (IT), Stanford University (US)
Affordable and clean energy
Openalex Percentile: Top 10%
Vehicle Dynamics and Control Systems
2.64
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.