This paper proposes a novel method for designing robust nonlinear multivariable predictive control for nonlinear active suspension systems via the Takagi-Sugeno fuzzy approach. The controller design is converted to a convex optimization problem with linear matrix inequality constraints. The stability of the control system is achieved by the use of terminal constraints, in particular the Constrained Receding-Horizon Predictive Control algorithm to maintain a robust performance of vehicle systems. A quarter-car model with active suspension system is considered in this paper and a numerical example is employed to illustrate the effectiveness of the proposed approach. The obtained results are compared with those achieved with model predictive control in terms of robustness and stability.
A Robust Predictive Control Design for Nonlinear Active Suspension Systems
2016-01-01
Article (Journal)
Electronic Resource
English
DDC: | 629 |
Nonlinear backstepping control design of half-car active suspension systems
Automotive engineering | 2003
|Robust design of active suspension system
Online Contents | 1993
|Robust design of active suspension system
Automotive engineering | 1993
|Nonlinear backstepping control design of half-car active suspension systems
Online Contents | 2003
|Robust design of active suspension system
Tema Archive | 1993
|