2016
DOI: 10.1016/j.ifacol.2016.03.125
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A Study of H infinity and H2 synthesis for Active Vibration Control

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Cited by 18 publications
(6 citation statements)
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“…This would result in the H-2 controller performing better than H-∞ over most frequencies but failing at specific frequencies. H-∞ controllers have been adopted in mechanical systems such as missile or satellite trajectory control [45] and suspension systems [46]. However, we intend to adopt the usage of such controllers into the domain of power grid protection against LA attacks.…”
Section: Choice Of Controller For Ev-based Mitigation Schemementioning
confidence: 99%
“…This would result in the H-2 controller performing better than H-∞ over most frequencies but failing at specific frequencies. H-∞ controllers have been adopted in mechanical systems such as missile or satellite trajectory control [45] and suspension systems [46]. However, we intend to adopt the usage of such controllers into the domain of power grid protection against LA attacks.…”
Section: Choice Of Controller For Ev-based Mitigation Schemementioning
confidence: 99%
“…is the static output feedback control gain to be designed. To reduce the object transfer functions, robust control algorithms, such as LQR (Zhang et al, 2008;Zhang and Zhuan, 2020), H-2 (Li et al, 2003;Shukla et al, 2016), and Hinfinity (Xie et al, 2004;Alma et al, 2011;Khot et al, 2017) controller, are often utilized. Compared with other controllers, the H-infinity norm measure the energy-to-energy gain between the external disturbance and the target outputs directly, which can be viewed as the worst-case gain in frequency domain.…”
Section: Vehicle Suspension Model and Formulation Of H-infinity Controllermentioning
confidence: 99%
“…To address all the limitations mentioned above, a concept was devised to embed actuators' constraints into the control problem formulation [18][19][20][21] to avoid efficiency and robustness problems of the calculated control function being imprecisely mapped or beyond the actuator output/TVA stroke limits. This involved the use of nonlinear control methods, which may be grouped generally as maximum-principle-based [39], Lyapunovfunction-based [16,38], and linearisation-based methods utilising linear optimal control theory (LQR/LQG/H 2 /H ∞ ) [7,32,40,41]. The main implementation issues regarding these methods are the high computational load of the real-time operation or control quality degradation due to dynamics/disturbances that were unmodelled during offline pre-calculations.…”
Section: Introductionmentioning
confidence: 99%