DocumentCode
3536776
Title
Observer-based multi-actuator vehicle chassis control in critical situations
Author
Dahmani, H. ; Pages, O. ; El Hajjaj, A. ; Popescu, Dan
Author_Institution
MIS Lab., Univ. of Picardie Jules Verne, Amiens, France
fYear
2013
fDate
26-27 Aug. 2013
Firstpage
156
Lastpage
161
Abstract
This paper describes an observer-based control of the vehicle dynamics using a four-wheel active steering system as well as an active suspension system. The objectives of the proposed controller are to improve the vehicle behaviour by forcing the lateral dynamics and the load transfer ration (LTR) to track reference trajectories in critical situations. The Takagi-Sugeno (TS) representation has been used in order to take into account the non-linearities of the lateral forces. Based on the obtained fuzzy model, a TS observer has been designed with unmeasurable premise variables in order to consider the unavailability of the sideslip and the roll angle measurement. The observer and controller design has been formulated in terms of Linear Matrix Inequality (LMI) constraints using H∞ approach.
Keywords
control nonlinearities; control system synthesis; fuzzy set theory; linear matrix inequalities; position control; road vehicles; steering systems; suspensions (mechanical components); vehicle dynamics; H∞ approach; LMI constraints; LTR; Takagi-Sugeno representation; active suspension system; controller design; four-wheel active steering system; fuzzy model; lateral dynamics; lateral force nonlinearities; linear matrix inequality constraints; load transfer ration; observer design; observer-based multiactuator vehicle chassis control; reference trajectories; vehicle dynamics; Linear matrix inequalities; Observers; Stability analysis; Tires; Trajectory; Vehicle dynamics; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems and Computer Science (ICSCS), 2013 2nd International Conference on
Conference_Location
Villeneuve d´Ascq
Print_ISBN
978-1-4799-2020-4
Type
conf
DOI
10.1109/IcConSCS.2013.6632040
Filename
6632040
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