2014
DOI: 10.1049/iet-cta.2013.1129
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Static output‐feedback controller design for vehicle suspensions: an effective two‐step computational approach

Abstract: In this paper, a novel two-step methodology is applied in designing static output-feedback controllers for a class of vehicle suspension systems. Following this approach, an effective synthesis of static output-feedback controllers can be carried out by solving two consecutive linear matrix inequality optimization problems. To illustrate the main features of the proposed design strategy, two different static output-feedback H ∞ controllers are designed for a quarter-car suspension system. The first of those co… Show more

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Cited by 25 publications
(15 citation statements)
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“…In order to design the demanded force controllers, the robust H∞ performances for a static output‐feedback system can be realized by introducing the following lemmas .Lemma Given a positive scalar η , the closed‐loop system with H∞ state feedback controller is asymptotically stable and satisfies the condition for all w if and only if there exists symmetric positive‐definite matrix X i ( i = 1, 2)and general matrix Y i such that the matrix inequality is satisfied. []italicsym()ApXi+BfiYi1.6emBw1.5emXiCiT+YiTDi4.699998em*3.599999emboldI4.199998emDwT*4.599998em*3.899998emη2boldI<bold0 …”
Section: Closed‐system Controller Designmentioning
confidence: 99%
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“…In order to design the demanded force controllers, the robust H∞ performances for a static output‐feedback system can be realized by introducing the following lemmas .Lemma Given a positive scalar η , the closed‐loop system with H∞ state feedback controller is asymptotically stable and satisfies the condition for all w if and only if there exists symmetric positive‐definite matrix X i ( i = 1, 2)and general matrix Y i such that the matrix inequality is satisfied. []italicsym()ApXi+BfiYi1.6emBw1.5emXiCiT+YiTDi4.699998em*3.599999emboldI4.199998emDwT*4.599998em*3.899998emη2boldI<bold0 …”
Section: Closed‐system Controller Designmentioning
confidence: 99%
“…Then , the matrix R i can be defined as Ri=Co+QTi in which T i is a constant matrix. A detailed introduction of some relevant properties of the matrix T i can be found in . In this paper, the matrix is suggested as Ti=QXsiCoTboldCoboldXitalicsiboldCnormalonormalT1 where X si is an optimal solution of the matrix variable X i in Lemma , Q † = ( QQ T ) ‐1 Q T is the Moore–Penrose pseudoinverse of Q .Lemma Considering the symmetric matrix X i > 0 in Lemma , the matrix inequality QX Qi Q T + R i X Ri R T i >0 is satisfied if and only if there exists symmetric matrices X Qi >0 and X Ri >0.Lemma In the static output‐feedback system, combining the equality YiXi1=KiCo and equation , the gain matrix K i is computed as Ki=YRiXRi1.Remark Substituting equation into the matrix inequality , and combining Lemma with Lemma 2 and Lemma 3, the closed‐loop system is asymptotically stable and satisfies the condition for all w if there are symmetric matrices X Qi >0, X Ri >0 and general matrix Y Ri satisfying the matrix inequality .…”
Section: Closed‐system Controller Designmentioning
confidence: 99%
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“…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%