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- Title
Online Adaptive Optimal Control of Vehicle Active Suspension Systems Using Single-Network Approximate Dynamic Programming.
- Authors
Fu, Zhi-Jun; Li, Bin; Ning, Xiao-Bin; Xie, Wei-Dong
- Abstract
In view of the performance requirements (e.g., ride comfort, road holding, and suspension space limitation) for vehicle suspension systems, this paper proposes an adaptive optimal control method for quarter-car active suspension system by using the approximate dynamic programming approach (ADP). Online optimal control law is obtained by using a single adaptive critic NN to approximate the solution of the Hamilton-Jacobi-Bellman (HJB) equation. Stability of the closed-loop system is proved by Lyapunov theory. Compared with the classic linear quadratic regulator (LQR) approach, the proposed ADP-based adaptive optimal control method demonstrates improved performance in the presence of parametric uncertainties (e.g., sprung mass) and unknown road displacement. Numerical simulation results of a sedan suspension system are presented to verify the effectiveness of the proposed control strategy.
- Subjects
SUSPENSION of railroad cars; DYNAMIC programming; ADAPTIVE control systems; HAMILTON-Jacobi-Bellman equation; LYAPUNOV functions
- Publication
Mathematical Problems in Engineering, 2017, p1
- ISSN
1024-123X
- Publication type
Article
- DOI
10.1155/2017/4575926