An adaptive active vibration control for flexible beam systems under unknown deterministic disturbances

IF 7.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL
Fanfan Qian , Haichun Ding , Tianqi Liu , Zhizheng Wu , Xuping Zhang , Azhar Iqbal
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引用次数: 0

Abstract

An adaptive active vibration control approach has been proposed for flexible beam systems to reject unknown deterministic disturbance in this paper. In the proposed feedback control scheme, a robust controller is firstly developed to stabilize the mode-truncated inner-loop system with the properly formulated uncertain transfer functions. Subsequently, the Youla parameters are augmented with the base robust controller to formulate a Q parametrized set of all stabilizing controllers, whose dimensionality of Q is suitably selected to meet the requirement pertaining to the robustness in the context of model uncertainties of the flexible beam system and the disturbance characteristics. A recursive least squares (RLS) algorithm incorporating projection is utilized to adjust the augmented Youla parameters online for the disturbance with the unknown and time-varying characteristics. The existence of Youla parameters and the stability of the proposed Youla adaptive vibration control scheme have been analyzed. The simulation for a flexible beam system against unknown deterministic disturbance and an experimental test evaluation to attenuate the unknown flying height fluctuations of the read/write head suspension in data storage system have been illustrated to show the effectiveness of the proposed adaptive active vibration control approach.
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来源期刊
Mechanical Systems and Signal Processing
Mechanical Systems and Signal Processing 工程技术-工程:机械
CiteScore
14.80
自引率
13.10%
发文量
1183
审稿时长
5.4 months
期刊介绍: Journal Name: Mechanical Systems and Signal Processing (MSSP) Interdisciplinary Focus: Mechanical, Aerospace, and Civil Engineering Purpose:Reporting scientific advancements of the highest quality Arising from new techniques in sensing, instrumentation, signal processing, modelling, and control of dynamic systems
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