Modal analysis of laminated beams with fuzzy core stiffness/fuzzy interlayer slip

Heuer, R.; Ziegler, Franz

doi:10.2140/jomms.2011.6.213

Cited by 4 publications

(1 citation statement)

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“…In terms of the dynamic performance and active vibrat ion control of plates, the high-efficient dynamic modelling and appropriate control law design are the two key points. So, in recent years researchers have used different kinds of modelling methods such as finite element methods [8,9], fin ite difference methods [10,11], modal analysis [12,13], exact mathematical modelling [14,15], experimental analysis [16,17], and system identification [18,19]. Also, various types of controller design methods such as velocity feedback control [20], h igh gain feedback regulator [21], linear quadratic regulator (LQR) approach [22], 2 H control [23], H ∞ control [24], neural network control [25], fuzzy logic control [26], and intelligent algorithms [27] have been studied by former scientists.…”

Section: Introductionmentioning

confidence: 99%

Robust Active Vibration Control of Smart Structures; a Comparison between Two Approaches: µ-Synthesis & LMI-Based Design

Oveisi¹,

Gudarzi²

2013

AEROSPACE

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The purpose of this paper is comparing the performance of two robust control designing approaches in smart structures. First, an accurate model of a homogeneous plate with special boundary conditions is derived by using of modal analysis. Then, some primitive p late's modes are considered as nominal system and the remaining modes are left as a mu ltip licat ive unstructured modelling uncertainty. Next, t wo robust controller are designed using µ-Synthesis & LMI-Based Design approaches based on the augmented plant composed of the nominal model and its accompanied uncertainty. Finally, the robustness of two uncertain closed-loop models and the d ifference between t wo controller performances has been investigated. Obtained results show the higher performance of LMI-Based Design approach in rejection of random disturbances.

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