Vehicle parameter estimation and stability enhancement using the principles of sliding mode

Mustapha Ouladsine; Hassan Shraim; Leonid Fridman; Hassan Noura

doi:10.1109/ACC.2007.4282688

Vehicle parameter estimation and stability enhancement using the principles of sliding mode

Mustapha Ouladsine, Hassan Shraim, Leonid Fridman, Hassan Noura

Department of Electrical and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

16 Citations (Scopus)

Abstract

In this paper, tires longitudinal forces, vehicle side slip angle and velocity are identified and estimated using sliding modes (SM) observers. Longitudinal forces are estimated using high order SM observers, while for the estimation of the vehicle side slip angle and vehicle velocity, a SM observer based on the hierarchical super twisting algorithm. Validations with the simulator VE-DYMA pointed out the good performance and the robustness of the proposed observers. After validating these observers, controller design for the braking is accomplished using a reduced state space model representing the movement of the vehicle centre of gravity in the (X, Y) plane. Driver's reactions are taken into account. The performance of the closed loop system is carried out by means of simulation tests.

Original language	English
Title of host publication	Proceedings of the 2007 American Control Conference, ACC
Pages	5224-5229
Number of pages	6
DOIs	https://doi.org/10.1109/ACC.2007.4282688
Publication status	Published - 2007
Event	2007 American Control Conference, ACC - New York, NY, United States Duration: Jul 9 2007 → Jul 13 2007

Publication series

Name	Proceedings of the American Control Conference
ISSN (Print)	0743-1619

Other

Other	2007 American Control Conference, ACC
Country/Territory	United States
City	New York, NY
Period	7/9/07 → 7/13/07

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/ACC.2007.4282688

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Vehicle parameter estimation and stability enhancement using the principles of sliding mode. / Ouladsine, Mustapha; Shraim, Hassan; Fridman, Leonid et al.
Proceedings of the 2007 American Control Conference, ACC. 2007. p. 5224-5229 4282688 (Proceedings of the American Control Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ouladsine, M, Shraim, H, Fridman, L & Noura, H 2007, Vehicle parameter estimation and stability enhancement using the principles of sliding mode. in Proceedings of the 2007 American Control Conference, ACC., 4282688, Proceedings of the American Control Conference, pp. 5224-5229, 2007 American Control Conference, ACC, New York, NY, United States, 7/9/07. https://doi.org/10.1109/ACC.2007.4282688

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abstract = "In this paper, tires longitudinal forces, vehicle side slip angle and velocity are identified and estimated using sliding modes (SM) observers. Longitudinal forces are estimated using high order SM observers, while for the estimation of the vehicle side slip angle and vehicle velocity, a SM observer based on the hierarchical super twisting algorithm. Validations with the simulator VE-DYMA pointed out the good performance and the robustness of the proposed observers. After validating these observers, controller design for the braking is accomplished using a reduced state space model representing the movement of the vehicle centre of gravity in the (X, Y) plane. Driver's reactions are taken into account. The performance of the closed loop system is carried out by means of simulation tests.",

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AB - In this paper, tires longitudinal forces, vehicle side slip angle and velocity are identified and estimated using sliding modes (SM) observers. Longitudinal forces are estimated using high order SM observers, while for the estimation of the vehicle side slip angle and vehicle velocity, a SM observer based on the hierarchical super twisting algorithm. Validations with the simulator VE-DYMA pointed out the good performance and the robustness of the proposed observers. After validating these observers, controller design for the braking is accomplished using a reduced state space model representing the movement of the vehicle centre of gravity in the (X, Y) plane. Driver's reactions are taken into account. The performance of the closed loop system is carried out by means of simulation tests.

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Vehicle parameter estimation and stability enhancement using the principles of sliding mode

Abstract

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