Title
Adaptive Vehicle Stability Control of Half-Car Active Suspension Systems With Partial Performance Constraints
Abstract
A novel adaptive controller for the half-car active suspension systems (ASSs), which can improve the riding comfortability and handling stability of the driver, is proposed in this paper. By using nonlinear mapping, it is demonstrated that the nonlinear ASSs with partial performance constraints are transformed into the novel pure-feedback systems without constraints. By introducing a modified dynamic surface control (DSC) into the Lyapunov function, the adaptive neural network (NN) controller is discussed. The unknown continuous functions are estimated by the NNs, and the boundedness of all signals in the closed-loop systems is guaranteed by the Lyapunov stability theory. Meanwhile, the performance constraints are not violated. Finally, the simulations are performed to clarify and verify the effectiveness of the proposed scheme.
Year
DOI
Venue
2021
10.1109/TSMC.2019.2903203
IEEE Transactions on Systems, Man, and Cybernetics: Systems
Keywords
DocType
Volume
Active suspension systems (ASSs),adaptive control,dynamic surface control,neural network (NN),performance constraints
Journal
51
Issue
ISSN
Citations 
3
2168-2216
2
PageRank 
References 
Authors
0.36
25
3
Name
Order
Citations
PageRank
Qiang Zeng112612.91
Yan-Jun Liu23754110.77
Lei Liu331914.27