2017
DOI: 10.1177/1077546317711335
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L2 gain state derivative feedback control of uncertain vehicle suspension systems

Abstract: This paper is concerned with the design of a robust L2 gain state derivative feedback controller for an active suspension system. An uncertain quarter vehicle model is used to analyze vehicle suspension performance. Parametric uncertainty is assumed to exist in sprung mass, tire stiffness and suspension damping coefficients. Polytopic type state space representation is used to enable robust controller design via a linear matrix inequalities (LMIs) framework. Then nominal and robust L2 gain state derivative fee… Show more

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Cited by 29 publications
(17 citation statements)
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“…Given the active suspension system actuated by asymmetric electrohydraulic actuator, synthesize the adaptive robust control law u for spool displacement to stabilize the vertical motion of suspension system while to address the parametric uncertainties and high nonlinearity in both main-loop system and sub-loop system. Meanwhile, the constraints requirements in equations (16) and (17) as well as the close-loop system stability are guaranteed.…”
Section: Problem Statementmentioning
confidence: 99%
See 1 more Smart Citation
“…Given the active suspension system actuated by asymmetric electrohydraulic actuator, synthesize the adaptive robust control law u for spool displacement to stabilize the vertical motion of suspension system while to address the parametric uncertainties and high nonlinearity in both main-loop system and sub-loop system. Meanwhile, the constraints requirements in equations (16) and (17) as well as the close-loop system stability are guaranteed.…”
Section: Problem Statementmentioning
confidence: 99%
“…16 Recently, a robust L 2 gain state derivative feedback controller was designed for uncertain active suspension system, successfully improving the ride comfort without deterioration of road holding ability. 17 However, most of the existing literatures have focused on the main-loop controller design, i.e. figuring out the desired control force that can suppress the vibration of suspension system effectively.…”
Section: Introductionmentioning
confidence: 99%
“…According to the statistics of National Highway Traffic Safety Administration (NHTSA), 33% of all deaths from passenger vehicle crashes are related to rollover accidents in 2002. As a consequence, research studies on suspension system aiming at improving handling performance and reducing rollover propensity has found prosperity in terms of both active/semiactive controlled and passive suspensions [1][2][3][4][5][6][7][8]. Many active/semiactive control strategies, such as H ∞ control strategies and sliding-mode control strategies, have been utilized onto vehicle to enhance handling performance and ride comfort [9][10][11][12][13][14][15][16].…”
Section: Introductionmentioning
confidence: 99%
“…In order to design an active suspension controller for an integrated suspension system, an L2 gain state derivative feedback controller has been proposed by Sever and Yazici [27]. Thereafter, the L2 gain state derivative feedback controller has been extended with robustness property for the systems having polytopic type uncertainties by Yazici and Sever [28]. To the best knowledge of the authors, there is no work employing optimal state derivative feedback LQR controller for active suspension design in the literature.…”
Section: Introductionmentioning
confidence: 99%