Lateral vehicle dynamics control via sliding modes generation

2017 ◽  
pp. 121-158 ◽  
Author(s):  
Enrico Regolin ◽  
Dzmitry Savitski ◽  
Valentin Ivanov ◽  
Klaus Augsburg ◽  
Antonella Ferrara
Keyword(s):  
Vehicle Dynamics ◽  
Sliding Modes ◽  
Lateral Vehicle Dynamics ◽  
Vehicle Dynamics Control

Longitudinal vehicle dynamics control via sliding modes generation

2017 ◽  
pp. 33-76 ◽  
Author(s):  
Enrico Regolin ◽  
Gian Paolo Incremona ◽  
Antonella Ferrara
Keyword(s):  
Vehicle Dynamics ◽  
Sliding Modes ◽  
Vehicle Dynamics Control

Sliding mode-based lateral vehicle dynamics control using tyre force measurements

2015 ◽  
Vol 53 (11) ◽  
pp. 1599-1619 ◽  
Author(s):  
Anil Kunnappillil Madhusudhanan ◽  
Matteo Corno ◽  
Edward Holweg
Keyword(s):  
Vehicle Dynamics ◽  
Sliding Mode ◽  
Force Measurements ◽  
Lateral Vehicle Dynamics ◽  
Vehicle Dynamics Control

scholarly journals Disturbance Decoupling and Tracking Controller Design for Lateral Vehicle Dynamics

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 40706-40715
Author(s):  
Mohammad Reza Satouri ◽  
Abolhassan Razminia ◽  
Saleh Mobayen ◽  
Pawel Skruch
Keyword(s):  
Vehicle Dynamics ◽  
Controller Design ◽  
Disturbance Decoupling ◽  
Lateral Vehicle Dynamics ◽  
Tracking Controller

Direct Longitudinal Force Feedback for High-Performance Vehicle Dynamics Control Systems

2021 ◽  
Author(s):  
Giorgio Riva ◽  
Luca Mozzarelli ◽  
Matteo Corno ◽  
Simone Formentin ◽  
Sergio M. Savaresi
Keyword(s):  
Model Predictive Control ◽  
Control Systems ◽  
Predictive Control ◽  
Vehicle Dynamics ◽  
High Performance ◽  
Force Feedback ◽  
Longitudinal Force ◽  
Spiral Path ◽  
Comparable Performance ◽  
Vehicle Dynamics Control

Abstract State of the art vehicle dynamics control systems do not exploit tire road forces information, even though the vehicle behaviour is ultimately determined by the tire road interaction. Recent technological improvements allow to accurately measure and estimate these variables, making it possible to introduce such knowledge inside a control system. In this paper, a vehicle dynamics control architecture based on a direct longitudinal tire force feedback is proposed. The scheme is made by a nested architecture composed by an outer Model Predictive Control algorithm, written in spatial coordinates, and an inner longitudinal force feedback controller. The latter is composed by four classical Proportional-Integral controllers in anti-windup configuration, endowed with a suitably designed gain switching logic to cope with possible unfeasible references provided by the outer loop, avoiding instability. The proposed scheme is tested in simulation in a challenging scenario where the tracking of a spiral path on a slippery surface and the timing performance are handled simultaneously by the controller. The performance is compared with that of an inner slip-based controller, sharing the same outer Model Predictive Control loop. The results show comparable performance in presence of unfeasible force references, while higher robustness is achieved with respect to friction curve uncertainties.

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