Active vibration control of a rotor bearing system using flexible piezoelectric patch actuators

Brahem, Maryam; Chouchane, Mnaouar; Amamou, Amira

doi:10.1177/1045389x20916804

Cited by 20 publications

(14 citation statements)

References 15 publications

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“…Finite element modeling and optimal feedback control based on linear quadratic regulation were adopted. Brahem et al (2020) also showed the capability of surface mounted piezo patch actuators to suppress excitation of the first bending mode of a flexible rotor due to unbalance.…”

Section: Introductionmentioning

confidence: 98%

Piezo-based flexural vibration suppression for an annular rotor via rotating-frame H2 control optimization

Brand

Cole

2021

Journal of Intelligent Material Systems and Structures

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Elastic vibration can arise in annular and thin-walled rotor structures, impacting on operating performance and the risk of failure. Feedback control to reduce flexural vibration can be realized using lightweight actuators and sensors embedded in the rotor structure. To design optimal controllers, rotating-frame models of both the structural dynamics and sources of excitation are required. This paper describes a solution to this problem for the case of an annular rotor equipped with piezo patch actuators and sensors. To account for space-fixed external excitation sources, a forcing function is considered involving specified spatial and frequency domain distributions. A model-based [Formula: see text] synthesis is used to compute optimal control solutions. These are tested experimentally on a thin-walled cylindrical steel rotor for cases with narrowband and broadband excitation sources, applied from the fixed frame. The results show that frequency-splitting within the rotating-frame dynamics plays a key role in predicting and controlling resonance. The effectiveness of the optimal control methodology in reducing circumferential vibration of the annular rotor is also confirmed.

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Section: Introductionmentioning

confidence: 98%

Piezo-based flexural vibration suppression for an annular rotor via rotating-frame H2 control optimization

Brand

Cole

2021

Journal of Intelligent Material Systems and Structures

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“…In this study, the vibration control of WT structure was analyzed by using tuned mass damper active control and the designed active LQR algorithm. An active control system was designed by Brahem et al [ 68 ] based on a full-state LQR controller, which was applied to a rotary beam to alleviate its vibration. Shakir and Saber [ 69 ] developed a linear coupled FE model by ANSYS for the PZT actuation of a cantilever beam to study smart beam behavior in open and closed-loop cases.…”

Section: Introductionmentioning

confidence: 99%

Smart Active Vibration Control System of a Rotary Structure Using Piezoelectric Materials

Hashemi

Jang

Hosseini-Hashemi

2022

Sensors

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A smart active vibration control (AVC) system containing piezoelectric (PZT) actuators, jointly with a linear quadratic regulator (LQR) controller, is proposed in this article to control transverse deflections of a wind turbine (WT) blade. In order to apply controlling rules to the WT blade, a state-of-the-art semi-analytical solution is developed to obtain WT blade lateral displacement under external loadings. The proposed method maps the WT blade to a Euler–Bernoulli beam under the same conditions to find the blade’s vibration and dynamic responses by solving analytical vibration solutions of the Euler–Bernoulli beam. The governing equations of the beam with PZT patches are derived by integrating the PZT transducer vibration equations into the vibration equations of the Euler–Bernoulli beam structure. A finite element model of the WT blade with PZT patches is developed. Next, a unique transfer function matrix is derived by exciting the structures and achieving responses. The beam structure is projected to the blade using the transfer function matrix. The results obtained from the mapping method are compared with the counter of the blade’s finite element model. A satisfying agreement is observed between the results. The results showed that the method’s accuracy decreased as the sensors’ distance from the base of the wind turbine increased. In the designing process of the LQR controller, various weighting factors are used to tune control actions of the AVC system. LQR optimal control gain is obtained by using the state-feedback control law. The PZT actuators are located at the same distance from each other an this effort to prevent neutralizing their actuating effects. The LQR shows significant performance by diminishing the weights on the control input in the cost function. The obtained results indicate that the proposed smart control system efficiently suppresses the vibration peaks along the WT blade and the maximum flap-wise displacement belonging to the tip of the structure is successfully controlled.

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“…The two major control strategies are electromagnetic excitation type and described in [1]. And wrapped piezoelectric patches on rotors that is still under research and development [2].…”

Section: Introductionmentioning

confidence: 99%

Simply structured controllers for vibration suppression in long rotors

Aleyaasin

2021

Int. J. Dynam. Control

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In this paper suppression of the transient flexural vibrational disturbances in long rotors, with fluid film bearings, is investigated. The rotor is described by a series of distributed shafts connected by the lumped discs, and the system is mounted on lumped fluid film bearings. Upon determination of the dynamic stiffness matrix of the system, the best approximate transfer function matrix description of the rotor, is determined. Initially vibration suppression by simple diagonal Proportional + Integral (PI) controllers is studied and via direct search optimisation techniques the PI parameters which exhibit fast vibration suppression is found. The resulted high integration rate, and low proportional gain PI controller, theoretically provided fast suppression time. However, it is shown that due to the strong coupling effect in the rotor system, and high rate of integration, the closed loop relative stability is weak, and feasibility of controller is questionable. Therefore, an alternative simple first order controller without integration action, that is named “attenuation filter “is suggested that can produce stronger stability and produces significant (not full) vibration suppression. The closed loop multivariable control of the rotor system comprising two vibration sensors and two magnetic actuators using such attenuation filter, is then simulated. The response to step disturbances, has provided 95% suppression with significantly fast response. It is concluded that although the attenuation filter may not provide 100% suppression, but it more reliable since the integration of the error, that results weak stability is avoided.

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Active vibration control of a rotor bearing system using flexible piezoelectric patch actuators

Cited by 20 publications

References 15 publications

Piezo-based flexural vibration suppression for an annular rotor via rotating-frame H2 control optimization

Piezo-based flexural vibration suppression for an annular rotor via rotating-frame H2 control optimization

Smart Active Vibration Control System of a Rotary Structure Using Piezoelectric Materials

Simply structured controllers for vibration suppression in long rotors

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