Self-learning active vibration control of a flexible plate structure with piezoelectric actuator

Tavakolpour, Ali Reza; Mailah, Musa; Darus, Intan Zaurah Mat; Tokhi, Osman

doi:10.1016/j.simpat.2009.12.007

Cited by 37 publications

(31 citation statements)

References 23 publications

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“…In this paper the performance of the TSM MIMO vibration control for the flexible plate vibration is shown.We analyzed the conditions which allow the construction of intelligent controller for complex structure vibration system [32] using the TSM MIMO control technique. The intelligent controller is applied to the reduced-order dynamics model which is established by DROMM modeling method.…”

Section: Discussionmentioning

confidence: 99%

Experimental Study of Flexible Plate Vibration Control by Using Two-Loop Sliding Mode Control Strategy

Yang

Lin

Liu

et al. 2016

J. Inst. Eng. India Ser. C

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It is well known that intelligent control theory has been used in many research fields, novel modeling method (DROMM) is used for flexible rectangular active vibration control, and then the validity of new model is confirmed by comparing finite element model with new model. In this paper, taking advantage of the dynamics of flexible rectangular plate, a two-loop sliding mode (TSM) MIMO approach is introduced for designing multiple-input multiple-output continuous vibration control system, which can overcome uncertainties, disturbances or unstable dynamics. An illustrative example is given in order to show the feasibility of the method. Numerical simulations and experiment confirm the effectiveness of the proposed TSM MIMO controller.

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Section: Discussionmentioning

confidence: 99%

Experimental Study of Flexible Plate Vibration Control by Using Two-Loop Sliding Mode Control Strategy

Yang

Lin

Liu

et al. 2016

J. Inst. Eng. India Ser. C

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show abstract

“…However, few papers can be found about the applications of IL control for active vibration control of piezoelectric smart structures. Zhu et al [9] and Tavakolpour et al [10] firstly applied P-type IL control to vibration attenuation of piezoelectric smart structures, and the efficiency of P-type IL controller had been proven in their studies. In addition, Fadil et al [11] combined P-type IL control and PID control to design a new intelligent PID controller for vibration suppression of the piezoelectric smart cantilever beam, in which the P-type IL control is applied to tune the parameters of the PID controller.…”

Section: Introductionmentioning

confidence: 99%

“…Besides, control effectiveness of actuators is effective at the locations of sensors, and they are not able to compensate the unwanted vibrations effectively at other locations [12]. In P-type IL control, thousands of iterations are needed for achieving the satisfying control precision, which leads to learning speed of feedback gain slow [10,13]. Moreover, unreasonable selections of learning gains may directly cause control spillover or even system instability, which makes the reduction of system robustness [14].…”

Section: Introductionmentioning

confidence: 99%

Optimal fuzzy iterative learning control based on artificial bee colony for vibration control of piezoelectric smart structures

Bai¹,

Yang²,

Li³

et al. 2019

J. vibroeng.

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Combining P-type iterative learning (IL) control, fuzzy logic control and artificial bee colony (ABC) algorithm, a new optimal fuzzy IL controller is designed for active vibration control of piezoelectric smart structures. In order to accelerate the learning speed of feedback gain, the fuzzy logic controller is integrated into the ANSYS finite element (FE) models by using APDL (ANSYS Parameter Design Language) approach to adjust adaptively the learning gain of P-type IL control. For improving the performance and robustness of the fuzzy logic controller as well as diminishing human intervention in the operation process, ABC algorithm is used to automatically identify the optimal configurations for values in fuzzy query table, fuzzification parameters and defuzzification parameters, and the main program of ABC algorithm is operated in MATLAB. The active vibration equations are driven from the FE equations for the dynamic response of a linear elastic piezoelectric smart structure. Considering the vibrations generated by various external disturbances, the optimal fuzzy IL controller is numerically investigated for a clamped piezoelectric smart plate. Results demonstrate that the proposed control approach makes the feedback gain has a fast learning speed and performs excellent in vibration suppression. This is demonstrated in the results by comparing the new control approach with the P-type IL control.

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“…Several scholars utilized discretization of finite difference to conduct the active control of cantilever beam and simulate the dynamic state of structure of the beams through the discretization process. After this, they employed active control to do the control [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Suppression of the dynamic response of cracked beams with active control

2017

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Abstract.Recently, studies on the dynamic responses of cracked beams are quite worthy of being conferred. The theoretical dynamic properties of cracked beams previously obtained by La-DQM method were utilized to evaluate the maximum amplitudes of cracked beams. A comparatively new concept which utilized the controller gain to suppress the transverse vibration response of cracked beams in the perspective of proportional control scheme was proposed. A simulation study which applied an active control strategy to suppress the amplitude of vibration on the cracked beams with MATLAB SIMULINK software has been successfully accomplished. The maximum dynamic response of cracked beams is found to be inversely proportional to controller gain. Increasing the controller gain properly to control the vibration of the cracked beams is suggested in this study.

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Self-learning active vibration control of a flexible plate structure with piezoelectric actuator

Cited by 37 publications

References 23 publications

Experimental Study of Flexible Plate Vibration Control by Using Two-Loop Sliding Mode Control Strategy

Experimental Study of Flexible Plate Vibration Control by Using Two-Loop Sliding Mode Control Strategy

Optimal fuzzy iterative learning control based on artificial bee colony for vibration control of piezoelectric smart structures

Suppression of the dynamic response of cracked beams with active control

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