2015
DOI: 10.1002/asjc.1180
|View full text |Cite
|
Sign up to set email alerts
|

A Robust Predictive Control Design for Nonlinear Active Suspension Systems

Abstract: 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 … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
87
0

Year Published

2016
2016
2018
2018

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 100 publications
(87 citation statements)
references
References 27 publications
0
87
0
Order By: Relevance
“…As future work, the analytical reduction in the number of intermediate iterations should be developed since the rate of convergence towards the Nash equilibrium could be slow in some cases, implying higher computational times. Additionally, the extension of the proposed approach for being applied to non-linear systems and the deep study of systems with delays and robust control schemes (see, e.g., Bououden, Chadli, & Karimi (2016);Yao, Karimi, Sun, & Lu (2014)) will be also considered.…”
Section: Discussionmentioning
confidence: 99%
“…As future work, the analytical reduction in the number of intermediate iterations should be developed since the rate of convergence towards the Nash equilibrium could be slow in some cases, implying higher computational times. Additionally, the extension of the proposed approach for being applied to non-linear systems and the deep study of systems with delays and robust control schemes (see, e.g., Bououden, Chadli, & Karimi (2016);Yao, Karimi, Sun, & Lu (2014)) will be also considered.…”
Section: Discussionmentioning
confidence: 99%
“…There are many results concerning static control of active suspension systems with different structures and configurations [23,[36][37][38]. There are many results concerning static control of active suspension systems with different structures and configurations [23,[36][37][38].…”
Section: An Illustrative Examplementioning
confidence: 99%
“…Combibing differential equation of the suspension system (38) and the road model (40), results in the following stochastic differential equation:…”
Section: An Illustrative Examplementioning
confidence: 99%
“…Furthermore, in order to control the force of hydraulic actuators, the hydraulic valve must be driven by an additional low-power electromagnetic actuator [9]. Moreover, a highly complex controller design is required to account for severe nonlinear dynamics of hydraulic actuators [10][11][12]. Although pneumatic actuators are relatively cheap and there is no liquid leakage, the controllable frequency bandwidth is restricted to 2-3 Hz and they suffer from an air consumption problem [13,14].…”
Section: Introductionmentioning
confidence: 99%