Adaptive Feedforward Compensating Self-Sensing Method for Active Flutter Suppression

Wang, Yizhe; Xu, Zhiwei

doi:10.3390/s18103447

Cited by 2 publications

(2 citation statements)

References 40 publications

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“…Pelletier et al [269] used digital compensation to counter the contribution of the local strain of the SSA. Wang and Hu [270] used the adaptive feedforward compensation method to tackle both the problem of local strain and the imbalance of the bridge. 9.3.3.…”

Section: Self-sensing Actuatorsmentioning

confidence: 99%

Review on the use of piezoelectric materials for active vibration, noise, and flow control

Shivashankar

Gopalakrishnan

2020

Smart Mater. Struct.

140

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Considering the number of applications, and the quantity of research conducted over the past few decades, it would not be an overstatement to label the piezoelectric materials as the cream of the crop of the smart materials. Among the various smart materials, the piezoelectric materials have emerged as the most researched material for practical applications. They owe it to a few key factors like low cost, large frequency bandwidth of operation, availability in many forms, and the simplicity offered in handling and implementation. For piezoelectric materials, from an application standpoint, the area of active control of vibration, noise, and flow, stands, alongside energy harvesting, as the most researched field. Over the past three decades, several authors have used piezoelectric materials as sensors and actuators, to (i) actively control structural vibrations, noise and aeroelastic flutter, (ii) actively reduce buffeting, and (iii) regulate the separation of flows. These studies are spread over several engineering disciplines-starting from large space structures, to civil structures, to helicopters and airplanes, to computer hard disk drives. This review is an attempt to concise the progress made in all these fields by exclusively highlighting the application of the piezoelectric material. The research carried out in the past five years, in the areas of modeling, and optimal positioning of piezoelectric actuators/sensors, for active vibration control (AVC), are covered. Along with this, investigations into different control algorithms, for the piezoelectric based AVC, are also reviewed. Studies reporting the use of piezoelectric modal filtering and self sensing actuators, for AVC, are also surveyed. Additionally, research on semi-AVC techniques like the synchronized switched damping (on elements like resistor, inductor, voltage source, negative capacitor) has also been covered.

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Section: Self-sensing Actuatorsmentioning

confidence: 99%

Review on the use of piezoelectric materials for active vibration, noise, and flow control

Shivashankar

Gopalakrishnan

2020

Smart Mater. Struct.

140

View full text Add to dashboard Cite

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“…(2018) using piezoelectric patches. Also, Wang and Xu (2018) aimed to suppress the vibrations of a blade element by using a self-sensing method. In their study, a single piezoelectric material was used as both a sensor and actuator by means of the self-sensing piezoelectric actuator.…”

Section: Introductionmentioning

confidence: 99%

Active vibration control of a blade element with uncertainty modeling in PZT actuator force

Sivrioğlu

Bolat

Ertürk

2019

Journal of Vibration and Control

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The aim of this research is to attenuate the vibrations of a blade structure with an attached piezoelectric actuator using robust multi-objective control. The force obtained from a piezoelectric patch loading has uncertainties due to the complicated shape (airfoil) of the blade element. A parameter-dependent model of the force equation is developed to understand the possible variation range of the actuation force. The modal analysis of the blade is performed to find vibration mode frequencies, and an aerodynamic load is generated experimentally to create steady-state vibration on the blade. A state-space model is obtained by considering certain vibration modes and the parameter-dependent part of the force in the input vector is taken outside of the plant model. The robust stability filter is modified with parameter dependency to have a cluster of the filter. Two different multi-objective controllers are designed with different design objectives. The designed controllers are implemented in experiments and performances of the controllers are compared using frequency and time domain responses. It is shown that the flexible blade vibrations are successfully suppressed with the proposed mixed norm robust controllers under the effect of steady-state aerodynamic disturbance with different air speeds. It is observed in experimental results that the performances of the [Formula: see text] controller are better than the [Formula: see text] controller.

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Adaptive Feedforward Compensating Self-Sensing Method for Active Flutter Suppression

Cited by 2 publications

References 40 publications

Review on the use of piezoelectric materials for active vibration, noise, and flow control

Review on the use of piezoelectric materials for active vibration, noise, and flow control

Active vibration control of a blade element with uncertainty modeling in PZT actuator force

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