access icon free Robust control of an active suspension system with actuator time delay by predictor feedback

In this study, a delay-dependent memory state-feedback controller for linear systems with input time-delay in the presence of external disturbance has been investigated. At first, a new formula is introduced to obtain the prediction vector from the system dynamics and then by using this formula, the effect of input time-delay on the original delayed system is reduced. To guarantee the prescribed disturbance attenuation level of the closed-loop system, Lyapunov theory and linear matrix inequality (LMI) approaches are used. In the case of feasibility, sufficient LMI conditions provide the stabilising gain of the predictor-based controller. To illustrate the effectiveness of the proposed method, it is applied to a quarter-car model of an active suspension system considering the actuator time-delay.

Inspec keywords: actuators; linear systems; linear matrix inequalities; H∞ control; state feedback; closed loop systems; vectors; automobiles; robust control; suspensions (mechanical components); delays; Lyapunov methods; delay systems

Other keywords: Lyapunov theory; robust H∞ control; active suspension system; predictor-based controller; delayed system; input time-delay; prediction vector; delay-dependent memory state-feedback H∞ controller; closed-loop system; linear matrix inequality; stabilising gain; sufficient LMI conditions; actuator time delay; disturbance attenuation level; predictor feedback; quarter-car model; system dynamics; external disturbance; linear systems

Subjects: Optimal control; Mechanical components; Distributed parameter control systems; Algebra; Road-traffic system control; Linear control systems; Algebra; Stability in control theory

http://iet.metastore.ingenta.com/content/journals/10.1049/iet-cta.2017.0970
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