Active vibration control of flexible cantilever beam using piezo actuator and Filtered-X LMS algorithm

Oh, Jae Eung; Park, Soo Hong; Hong, Jin; Shin, Jun Ho

doi:10.1007/bf02945726

Cited by 20 publications

(8 citation statements)

References 5 publications

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“…State space models are especially convenient for the multiple-input multiple output (MIMO) control design problems. In [14] a single-input single-output model was considered.…”

Section: State Of the Artmentioning

confidence: 99%

“…In [14] active vibration control of a flexible cantilever beam was studied using the Filtered-X LMS algorithm, applied to design a control law for a piezoelectric actuator. In comparison with this algorithm, the technique with the optimal LQ controller and Kalman estimator proposed and applied in the present paper results in considerably faster controlled response in the time domain, and in higher vibration magnitude suppression in the frequency domain.…”

Section: State Of the Artmentioning

confidence: 99%

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Experimental model identification and vibration control of a smart cantilever beam using piezoelectric actuators and sensors

2012

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Mechanical lightweight structures often tend to unwanted vibrations due to disturbances. Passive methods for increasing the structural damping are often inadequate for the vibration suppression, since they include additional mass in the form of damping materials, additional stiffening designs or mass damper. In this paper the concept of an active vibration control for piezoelectric light weight structures is introduced and presented through several subsequent steps: model identification, controller design, simulation, experimental verification and implementation on a particular object-piezoelectric smart cantilever beam. Special attention is paid to experimental testing and verification of the results obtained through simulations. The efficiency of the modeling procedure through the subspacebased system identification along with the efficiency of the designed optimal controller are proven based on the experimental verification, which results in vibration suppression to a very high extent not only in comparison with the uncontrolled case, but also in comparison with previously achieved results. The experimental work demonstrates a very good agreement between simulations and experimental results.

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“…State space models are especially convenient for the multiple-input multiple output (MIMO) control design problems. In [14] a single-input single-output model was considered.…”

Section: State Of the Artmentioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

Experimental model identification and vibration control of a smart cantilever beam using piezoelectric actuators and sensors

2012

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“…The model is truncated in the second mode, because in experimental studies [8,9,16,17] where system identification for cantilevered beams was performed, just the first two modes of vibration have considerable amplitude. The mode shape functions are assumed to have the form 1 1 ,…”

Section: Modelingmentioning

confidence: 99%

Modeling and sliding mode control of a single-link flexible robot to reduce the transient response

Duarte

Ballesteros

Ullah

et al. 2015

2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR)

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In many applications, the use of slender and light flexible structures has increased due to the requirement of more efficient structures. One objective of this work is to generate a model of a single-link flexible robot, which includes rotational actuator, piezoelectric actuators, different kind of sensors, acceleration and deformation. The model is obtained under a classical mechanics approach: Lagrange Euler energy balance. The dynamics of the actuators is also included. Some parts of the resulting model are calculated using symbolic programming software, where as other are implemented and calculated dynamically during simulation. The resulting model is simulated in Matlab Simulink. The second objective is to develop an active vibration sliding mode controller (AVSMC) which include an observer to get an estimation of the rate of change flexible variable. The boundary values required for the implementation of the AVSMC are obtained from the formulated model. Experimental results show the effectiveness of the proposed controller.

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“…The classical approach used in AVC applications is adaptive fi ltering methods based on the Filtered-x Least Mean Square (FxLMS) algorithm (Kuo et al 1996, Oh et al 1998and Shouwe et al 2010. This approach was used by Oh et al (1998) and Shouwe et al (2010) to attenuate the effect of one harmonic disturbance acting on a fl exible beam. The FxLMS approach often works well in practice but might suffer from disadvantages like slow convergence and poor tracking performance.…”

Section: Introductionmentioning

confidence: 99%

Rejection of Harmonic and Transient Disturbances of a Smart Structure With Piezoelectric Actuators

Duarte

Ballesteros

Shu

et al. 2013

mech

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Active vibration control of flexible cantilever beam using piezo actuator and Filtered-X LMS algorithm

Cited by 20 publications

References 5 publications

Experimental model identification and vibration control of a smart cantilever beam using piezoelectric actuators and sensors

Experimental model identification and vibration control of a smart cantilever beam using piezoelectric actuators and sensors

Modeling and sliding mode control of a single-link flexible robot to reduce the transient response

Rejection of Harmonic and Transient Disturbances of a Smart Structure With Piezoelectric Actuators

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