DocumentCode
2846908
Title
Decentralized control of vehicles in platoons with robust nonlinear state estimation
Author
Pan, Ya-Jun
Author_Institution
Dept. of Mech. Eng., Dalhousie Univ., Halifax, NS
fYear
2008
fDate
23-26 Aug. 2008
Firstpage
145
Lastpage
150
Abstract
In this paper, a decentralized sliding mode control approach is applied to the control tasks of vehicles in platoons. Using the well known bicycle model, a robust nonlinear observer is introduced to facilitate the controller design which needs full state measurements. The vehicles in platoons can be treated as an interconnected system with a special form. Observer gain and controller gain are properly designed. Appropriate Linear Matrix Inequality (LMI) type conditions are derived according to the Lyapunov method. The main advantages can be summarized as: i) linear approximation of nonlinear vehicle model enables various advanced robust control possibilities; ii) the proposed robust control approach with nonlinear observer ensures the convergence of the whole interconnected system given that the system is operated within the stable region of linearization; iii) stability conditions in the form of LMIs for both observer and controller are rigorously derived.
Keywords
Lyapunov methods; control system synthesis; decentralised control; interconnected systems; linear matrix inequalities; observers; road vehicles; robust control; variable structure systems; LMI; Lyapunov method; controller design; controller gain; decentralized sliding mode control; decentralized vehicle control; interconnected system; linear approximation; linear matrix inequality; nonlinear observer; observer gain; robust control; robust nonlinear state estimation; Bicycles; Distributed control; Interconnected systems; Linear matrix inequalities; Lyapunov method; Observers; Robust control; Sliding mode control; State estimation; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation Science and Engineering, 2008. CASE 2008. IEEE International Conference on
Conference_Location
Arlington, VA
Print_ISBN
978-1-4244-2022-3
Electronic_ISBN
978-1-4244-2023-0
Type
conf
DOI
10.1109/COASE.2008.4626411
Filename
4626411
Link To Document