Robust H∞vibration Control for Flexible Linkage Mechanism Systems With Piezoelectric Sensors and Actuators

Zhang, X.; Shao, Chun Bo; Li, S.; Xu, Duo; Erdman, Arthur G.

doi:10.1006/jsvi.2000.3413

Cited by 55 publications

(43 citation statements)

References 17 publications

(12 reference statements)

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“…The error introduced in modal analysis by using only a few significant eigenmodes leads to an uncertainty of the type discussed here. [15,16] * Incomplete knowledge of model values and parameters and/or natural fluctuation of those values during system operation. * Influence of the system's environment, in the form of disturbances.…”

Section: System Uncertaintymentioning

confidence: 99%

Uncertainty of Models in Intelligent Systems Under Stochastic Loading

Moutsopoulou¹,

Stavroulakis²,

Pouliezos³

2016

Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016)

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Section: System Uncertaintymentioning

confidence: 99%

Uncertainty of Models in Intelligent Systems Under Stochastic Loading

Moutsopoulou¹,

Stavroulakis²,

Pouliezos³

2016

Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016)

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“…Robust controller design is composed of three stages: (1) formulation of the controller problem with weighting functions which describe objectives and uncertainties, (2) H 2 or H N synthesis and controller design to minimize the effects of inputs on outputs, and (3) structured singular value (m) analysis for evaluation of robustness against uncertainties. The robust controller design methodology has been applied to flexible structures in various forms as presented in several references (Balas, 1989;Balas and Doyle, 1990;Hu and Ng, 2005;Iorga et al, 2008;Jiang and Li, 2011;Liu et al, 2004;Sana and Rao, 2001;Zhang et al, 2001Zhang et al, , 2004. Readers can also refer to the review paper of Iorga et al (2008) which specifically includes robust controller applications of smart structures.…”

Section: Model-based Controllersmentioning

confidence: 99%

A review of active vibration and noise suppression of plate-like structures with piezoelectric transducers

Aridogan

Basdogan

2015

Journal of Intelligent Material Systems and Structures

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Structural vibrations are the major causes of noise problems, passenger discomforts, and mechanical failures in aerospace, automotive, and marine systems, which are mainly composed of lightweight and flexible plate-like structures. In order to reduce structural vibrations and noise radiations of lightweight structures, passive and active treatments have been used and investigated over the last three decades. Our aim of this article is to review current state-of-the-art of active vibration and noise suppression systems for plate and plate-like structures with various kinds of boundary conditions. The reviewed articles use numerical methods and experimental tools to study different aspects of controller architectures. In particular, the focus is placed on the active vibration and noise control systems utilizing piezoelectric patches as sensors and actuators since their popularity in vibration-based applications has increased significantly during the last two decades. We first classify the controllers according to their architectures, then compare their performance in vibration and noise attenuation, and finally provide suggestions for further progress. The categorization of the information regarding the controller strategies and sensor/actuator configurations for different host structures can be used by the controller designers as a starting point for their specific configuration.

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“…One of methods is to use smart materials for sensors and actuators and to employ active control strategy for suppressing the elastic response of flexible mechanism. Zhang et al studied the active vibration control problem for the high-speed flexible mechanisms all of whose members were considered as flexible by using complex mode method and robust H f control scheme [6][7][8]. However, the design of the controller is complicated.…”

Section: Introductionmentioning

confidence: 99%

Vibration Suppression of a High-Speed Flexible Parallel Manipulator Based on Its Inverse Dynamics

2012

2012 Second International Conference on Intelligent System Design and Engineering Application

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For a novel 2-DoF flexible parallel manipulator, its kinematic and vibration control was investigated based on the inverse dynamic model by using sliding mode control. Taking into account the complexity of rigid-flexible coupling effect of the flexible manipulator, the assumed mode method and Lagrange multiplier method were applied to derive the dynamic equations of the system. It is a differential algebraic equation. In order to design conveniently the controller based on the model, the coordinate-partitioned method was used to convert the differential algebraic equations into a secondorder differential one. According to the demand of motion and vibration control, the sliding mode control method was applied to design the controller in order to obtain the desired trajectory and attenuate the elastic deformation of flexible manipulator. The numerical simulation results showed the proposed controller can eliminate the deflections of the midpoint of the flexible part and have a good trajectory track performance. Keywords-flexible parallel manipulator; sliding mode control; assumed mode method; inverse dynamic I.2011 Second International Conference on Intelligent System Design and Engineering Application 978-0-7695-4608-7/11 $26.00

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Robust H∞vibration Control for Flexible Linkage Mechanism Systems With Piezoelectric Sensors and Actuators

Cited by 55 publications

References 17 publications

Uncertainty of Models in Intelligent Systems Under Stochastic Loading

Uncertainty of Models in Intelligent Systems Under Stochastic Loading

A review of active vibration and noise suppression of plate-like structures with piezoelectric transducers

Vibration Suppression of a High-Speed Flexible Parallel Manipulator Based on Its Inverse Dynamics

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