Robust vehicle yaw control using an active differential and IMC techniques

Canale, Massimo; Fagiano, Lorenzo; Milanese, M.; Borodani, P.

doi:10.1016/j.conengprac.2006.11.012

Cited by 112 publications

(92 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…• improve the braking torque distribution through different strategies such as in [6,8] • integrate semi-active suspensions in the control scheme to avoid dangerous rollover situations as preliminary studied in [34].…”

Section: Resultsmentioning

confidence: 99%

“…DYC exploits the interaction between longitudinal and lateral tire forces to influence the vehicle handling. On this topic, some relevant results can be found in the literature, i.e, Predictive control [1], Fuzzy control, Sliding mode control [7], Internal Model Control [6] and H ∞ control [30] and LPV [8,9] were investigated.…”

Section: Toward Integrated Control and Related Workmentioning

confidence: 99%

“…controller could be replaced by more advanced strategies including control allocation [43], or some other structure such as differential braking could be considered as proposed for instance in [8,9,6,7]. …”

Section: Remark 1 Notice That the Main Contribution Relies In The Synmentioning

confidence: 99%

See 2 more Smart Citations

Integrated vehicle dynamics control via coordination of active front steering and rear braking

Doumiati

Sename

Dugard

et al. 2013

European Journal of Control

190

102

View full text Add to dashboard Cite

Section: Resultsmentioning

confidence: 99%

Section: Toward Integrated Control and Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Integrated vehicle dynamics control via coordination of active front steering and rear braking

Doumiati

Sename

Dugard

et al. 2013

European Journal of Control

190

102

View full text Add to dashboard Cite

“…The yaw moment control has been regarded as one of the most promising means of vehicle stability control, which could considerably enhance vehicle handling and stability (Abe, 1999;Mirzaei, 2010). Up to the date, different strategies on yaw moment control, such as optimal control (Esmailzadeh et al, 2003;Mirzaei et al, 2008), fuzzy logic control (Boada et al, 2005;Li & Yu 2010), internal model control (IMC) (Canale et al, 2007), flatness-based control (Antonov et al, 2008), and coordinated control (Yang et al, 2009), etc., have been proposed in the literature. It is noticed that most existing yaw moment control strategies rely on the measurement of both sideslip angle and yaw rate.…”

Section: Introductionmentioning

confidence: 99%

Robust Vehicle Stability Control Based on Sideslip Angle Estimation

Du¹,

Zhang²

2011

Robust Control, Theory and Applications

View full text Add to dashboard Cite

“…Several authors have proposed different control methods. For example, optimal control [1,2], fuzzy logic control [3], H f yaw-moment control [4], internal model control [5], multi-objective control [6,7], LQR and sliding mode control [8], etc. As the vehicle is operating under a wide range of conditions of speed, load, friction etc., the active yaw moment control should guarantee the stability performance robustly in the presence of uncertainty arising from different operating situations.…”

Section: Introductionmentioning

confidence: 99%

Robust Yaw Moment Control for Vehicle Handling and Stability

Du¹,

Zhang²,

Smith³

2009

SAE Int. J. Passeng. Cars – Mech. Syst.

View full text Add to dashboard Cite

This paper presents a robust yaw moment controller design approach for improving vehicle handling and stability. With considering the parameter-varying property of tyre cornering stiffness in extreme handling situations, a linear parameter-varying (LPV) model in polytopic form is constructed to represent the nonlinear characteristics of tyres. A yaw moment controller is then designed for the LPV model which aims at optimising the tracking performance on both yaw rate and sideslip angle with respect to their targets. The conditions for designing such a controller are derived in terms of linear matrix inequalities (LMIs The Engineering Meetings Board has approved this paper for publication. It has successfully completed SAE's peer review process under the supervision of the session organizer. This process requires a minimum of three (3) reviews by industry experts. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of SAE. ISSN 0148-7191 Positions and opinions advanced in this paper are those of the author(s) and not necessarily those of SAE. The author is solely responsible for the content of the paper. SAE ABSTRACTThis paper presents a robust controller design method for improving vehicle lateral stability and handling performance. In particular, the practical load variation will be taken into account in the controller synthesis process such that the controller can keep the vehicle lateral stability and handling performance regardless of the load variation. Based on a two-degree-of-freedom (2-DOF) lateral dynamics model, a model-based TakagiSugeno fuzzy control strategy is applied to design such a controller and the sufficient conditions for designing such a controller are given in terms of linear matrix inequalities (LMIs) which can be solved efficiently using currently available numerical software. Numerical simulations are used to validate the effectiveness of the proposed control approach.

show abstract

Robust vehicle yaw control using an active differential and IMC techniques

Cited by 112 publications

References 19 publications

Integrated vehicle dynamics control via coordination of active front steering and rear braking

Integrated vehicle dynamics control via coordination of active front steering and rear braking

Robust Vehicle Stability Control Based on Sideslip Angle Estimation

Robust Yaw Moment Control for Vehicle Handling and Stability

Contact Info

Product

Resources

About