Design and Experimentation of a Self-Sensing Actuator for Active Vibration Isolation System with Adjustable Anti-Resonance Frequency Controller

Fu, Yuan; Li, Shusen; Liu, Jiuqing; Zhao, Bo

doi:10.3390/s21061941

Cited by 5 publications

(3 citation statements)

References 27 publications

(29 reference statements)

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“…Furthermore, its unique inverse magnetostrictive effect, also known as the Villari effect, makes GMM a sensing component capable of sensing multiple physical quantities [12,13], including stress and force [14][15][16]. Hence relevant researchers have further explored the combination of the dual functions of GMM to develop self-sensing actuators [17,18]. Yang et al [19] extracted the induced voltage inside the coil based on a Kelvin bridge to achieve self-awareness of the disturbing force acting on the GMM.…”

Section: Introductionmentioning

confidence: 99%

Experimental study on synchronous detection of output force in a self-sensing giant magnetostrictive actuator

Xie,

Zhang,

et al. 2024

J. Phys. D: Appl. Phys.

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This paper systematically investigates the real-time detection of static and dynamic output forces by a self-sensing giant magnetostrictive actuator (SSGMA). The online stiffness of the actuator is perceived as the sensing signal according to the ΔE effect of Terfenol-D. Numerical simulations are carried out to analyze the effects of the driving magnetic field and the hysteresis caused by magneto-mechanical coupling on the performance of self-sensing output force. Then the prototype is fabricated and tested to verify the self-sensing characteristics of SSGMA for the output force. The noise density of prototype is tested to be below 56.92 nV √Hz−1. The experimental results illustrate that SSGMA has a self-detection sensitivity of 0.47 mV N−1 for a static force with an amplitude of nearly 120 N. The SSGMA is able to synchronize the tracking of quasi-static and low-frequency dynamic output forces, respectively. The hereby proposed SSGMA further broadens the application scenario of precision actuation systems by synchronizing the detection and control of the output force without requiring external sensors.

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Section: Introductionmentioning

confidence: 99%

Experimental study on synchronous detection of output force in a self-sensing giant magnetostrictive actuator

Xie,

Zhang,

et al. 2024

J. Phys. D: Appl. Phys.

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show abstract

“…The FE modeling was used to simulate the controller on bending and torsional vibration in their research. Fu et al [ 71 ] presented a velocity self-sensing method and experimental verification of a vibration isolation system in which a self-sensing actuator is designed to isolate the vibration with varying frequencies according to the dynamic vibration absorber structure. Ghaderi and Ghatei [ 72 ] presented an integrated virtual synchronization/LQR method to identify the system’s unknown physical parameters and vibration control of structures based on estimated parameters.…”

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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“…Given the constraints imposed by the suggested application (which may also be present in others), the hardware of the control system needs to be selected with the total mass kept to a minimum. Piezoelectric elements are renowned within vibration control due to their relatively high force output to mass ratio, and they have been previously used as sensors [2,3], actuators [4,5], and self-sensing actuators [6][7][8]. They have also been used in different categories of vibration control as in passive [9][10][11], semi-passive [12,13], and active [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Linear Control of a Nonlinear Equipment Mounting Link

et al. 2021

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The linear control of a nonlinear response is investigated in this paper, and a nonlinear model of the system is developed and validated. The design of the control system has been constrained based on a suggested application, wherein mass and expense are parameters to be kept to a minimum. Through these restrictions, the array of potential applications for the control system is widened. The structure is envisioned as a robot manipulator link, and the control system utilises piezoelectric elements as both sensors and actuators. A nonlinear response is induced in the structure, and the control system is employed to attenuate these vibrations which would be considered a nuisance in practical applications. The nonlinear model is developed based on Euler–Bernoulli beam theory, where unknown parameters are obtained through optimisation based on a comparison with experimentally obtained data. This updated nonlinear model is then compared with the experimental results as a method of empirical validation. This research offers both a solution to unwanted nonlinear vibrations in a system, where weight and cost are driving design factors, and a method to model the response of a flexible link under conditions which yield a nonlinear response.

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Design and Experimentation of a Self-Sensing Actuator for Active Vibration Isolation System with Adjustable Anti-Resonance Frequency Controller

Cited by 5 publications

References 27 publications

Experimental study on synchronous detection of output force in a self-sensing giant magnetostrictive actuator

Experimental study on synchronous detection of output force in a self-sensing giant magnetostrictive actuator

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

Linear Control of a Nonlinear Equipment Mounting Link

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