Research on anti-roll control strategy of commercial vehicle ESC based on LPV/H∞ gain scheduling

There is a contradiction between improving the path tracking effect and anti-roll in high speed turning or emergency lane change conditions. In order to solve this problem, an electronic stability controller (ESC) anti-roll control strategy for commercial vehicles based on linear parameter varying/H-infinity (LPV/H∞) gain scheduling is designed. Firstly, the three-degree-of-freedom (3-DOF) vehicle model is combined with road information to obtain the vehicle-road control model, and the scheduling factor is introduced as a variable parameter to coordinate the weight between steering and braking. Second, for the scheduling factor in the control model, lateral load transfer ratio (LTR) is used as the basis for designing the tilt risk factor, and the scheduling factor is designed by the risk factor. Thirdly, the LPV/H∞ controller is obtained by linear matrix inequality (LMI) method, which ensures the system’s robustness and stability. Finally, the simulation test based on Simulink/TruckSim and hard-ware-in-the-loop (HIL) test were carried out. Compared with the LMI control, the front wheel angle, lateral displacement, slip angle, lateral acceleration and yaw velocity are reduced by ∼20%, 37%, 10%, 24%, and 17%, respectively. The HIL test results show that the controller designed in this paper achieves the weight distribution between steering and braking. While ensuring the robustness and stability of the system, it resolves the conflict between path tracking and anti-roll performance indicators.

Authors

Institutions

Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Published
2025-12-09
DOI
https://doi.org/10.1177/09544070251391229
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on anti-roll control strategy of commercial vehicle ESC based on LPV/H∞ gain scheduling

Qinghua Cao, Zeyu Jiao, Jian Wu, Zheng Sun
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Vehicle Dynamics and Control Systems
article

Research on anti-roll control strategy of commercial vehicle ESC based on LPV/H∞ gain scheduling

Qinghua Cao, Zeyu Jiao, Jian Wu, Zheng Sun
article en

Abstract

There is a contradiction between improving the path tracking effect and anti-roll in high speed turning or emergency lane change conditions. In order to solve this problem, an electronic stability controller (ESC) anti-roll control strategy for commercial vehicles based on linear parameter varying/H-infinity (LPV/H∞) gain scheduling is designed. Firstly, the three-degree-of-freedom (3-DOF) vehicle model is combined with road information to obtain the vehicle-road control model, and the scheduling factor is introduced as a variable parameter to coordinate the weight between steering and braking. Second, for the scheduling factor in the control model, lateral load transfer ratio (LTR) is used as the basis for designing the tilt risk factor, and the scheduling factor is designed by the risk factor. Thirdly, the LPV/H∞ controller is obtained by linear matrix inequality (LMI) method, which ensures the system’s robustness and stability. Finally, the simulation test based on Simulink/TruckSim and hard-ware-in-the-loop (HIL) test were carried out. Compared with the LMI control, the front wheel angle, lateral displacement, slip angle, lateral acceleration and yaw velocity are reduced by ∼20%, 37%, 10%, 24%, and 17%, respectively. The HIL test results show that the controller designed in this paper achieves the weight distribution between steering and braking. While ensuring the robustness and stability of the system, it resolves the conflict between path tracking and anti-roll performance indicators.

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Liaocheng University (CN)
Openalex Percentile: Top 58%
Vehicle Dynamics and Control Systems
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.