Constrained H-infinity control of active suspensions: an lmi approach

Chen, H.; Sun, P.-Y.; Guo, Kaiyang

doi:10.1109/icca.2002.1229516

Cited by 91 publications

(204 citation statements)

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“…As a result, robust control synthesis for active suspension systems has been investigated by several researchers (Lauwerys et al, 2005;Ray, 1992). Recently, several authors employed H ∞ -based control to improve the robustness properties and disturbance attenuation of active suspensions (Chen and Kong-Hui, 2005;Hayakawa et al, 1999).…”

Section: Introductionmentioning

confidence: 99%

Combined design and robust control of a vehicle passive/active suspension

Alyaqout

Papalambros

Ulsoy

2012

IJVD

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An approach that combines passive and active elements to improve the robustness of a vehicle suspension system with respect to a worst-case scenario is introduced, and leads to a coupled optimisation problem that is often difficult to solve. A sequential strategy that depends on the strength of coupling and optimises the passive elements first, and then the active elements, reduces computational effort. Varying such parameters as level of uncertainty, tyre stiffness, and unsprung mass parameters leads to a relationship between coupling and robustness of the control. Results show that coupling between design and robust control increases as uncertainty increases.

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Section: Introductionmentioning

confidence: 99%

Combined design and robust control of a vehicle passive/active suspension

Alyaqout

Papalambros

Ulsoy

2012

IJVD

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“…This leads to optimal control strategies seeking to achieve a balance between different optimization objectives. Despite the huge improvement effected through optimal control, the problem of explicitly adapting the weighting coefficients corresponding to different degrees of perturbations remained unsolved, especially in active suspension researches [16][17][18][19]. As a result, the energy efficiency of the active suspension controller is reduced and the algorithm turns out to be more conservative.…”

Section: Introductionmentioning

confidence: 99%

T-S Fuzzy Model Based H-Infinity Control for 7-DoF Automobile Electrohydraulic Active Suspension System

Zhou

Zhao

et al. 2017

Journal of Control Science and Engineering

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This paper presents a double loop controller for a 7-DoF automobile electrohydraulic active suspension via T-S fuzzy modelling technique. The outer loop controller employs a modified -infinity feedback control based on a T-S fuzzy model to provide the actuation force needed to ensure better riding comfort and handling stability. The resulting optimizing problem is transformed into a linear matrix inequalities solution issue associated with stability analysis, suspension stroke limit, and force constraints. Integrating these via parallel distributed compensation method, the feedback gains are derived to render the suspension performance dependent on the perturbation size and improve the efficiency of active suspensions. Adaptive Robust Control (ARC) is then adopted in the inner loop design to deal with uncertain nonlinearities and improve tracking accuracy. The validity of improvements attained from this controller is demonstrated by comparing with conventional Backstepping control and a passive suspension on a 7-DoF simulation example. It is shown that the T-S fuzzy model based controller can achieve favourable suspension performance and energy conservation under both mild and malevolent road inputs.

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“…But performances are fixed (Chen and Guo, 2005). Then, LPV control is used either to enforce robustness by scheduling the controller according to measured varying parameters (Zin et al, 2006) or to change the desiderated performances by scheduling the controller objectives using exogenous parameters (Fialho and Balas, 2002;PoussotVassal et al, 2007).…”

Section: Lpv/h ∞ Control a Polytopic Approachmentioning

confidence: 99%