Optimal sensor placement for active control of floor vibration considering spillover effect associated with modal filtering

Xue, Kaiping; Igarashi, Akira; Kachi, Takahiro

doi:10.1016/j.engstruct.2018.03.024

Cited by 16 publications

(10 citation statements)

References 23 publications

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“…The darkest blue marks the same lowest value of the acceleration level, and the darkest red represents the same highest value of the acceleration level. The acceleration level is calculated by: L a = 20lg ω 2 |ξ| a re f (16) in which |ξ| is the amplitude of the displacement of the plate and a re f is the reference acceleration. 15) are also shown in Table 3.…”

Section: Simulation and Analysismentioning

confidence: 99%

“…In addition, Singhal et al [13] summarized that a misplacement of piezoelectric patches can lead to a lack of observability and controllability. Considering the lack of observability and controllability, majority studies mainly focused on high frequency spillover induced by the uncontrolled mode [14][15][16]. Tehrani et al [14] demonstrated that the high frequency spillover of AVC is mostly determined by the uncontrolled mode.…”

Section: Introductionmentioning

confidence: 99%

“…Morris et al [15] weighted several uncontrolled modes to prevent the spillover of AVC. For spillover reduction of the modes, Xue et al [16] proposed an optimal sensor placement to ensure vibration reduction in the controlled mode. Furthermore, Khan et al [17] noted that the vibration of a smart structure may be aggravated in the controlled mode.…”

Section: Introductionmentioning

confidence: 99%

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Investigation of Controllable Modes in Active Vibration Cancellation Induced by Piezoelectric Patches

Han

Sheng

2021

Applied Sciences

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Piezoelectric (PZT) patches are widely preferred for actuators and sensors for achieving active vibration cancellation (AVC). When PZT actuators and sensors are placed at the region of maximum strain energy for structural modes, there are still uncontrollable and controllable modes in the actual application. When an uncontrollable mode is excited, the structural vibration problem may not be solved by AVC, and may even be aggravated. However, a few studies have specifically targeted this problem. In this study, the controllable modes of a plate with free boundaries are investigated to ensure the AVC effect. To specify the controllable modes in advance, a criterion for controllable modes is proposed. The proposed criterion is firstly obtained by defining the ratio of the open-loop and closed-loop energies of AVC, and then simplified by considering the dominating modes. Corresponding simulations and experiments are conducted on a smart plate consisting of PZT patches to verify the correctness of the theoretical analysis. Results show that the proposed criterion is reliable to specify the controllable modes. The vibration response of the plate is significantly attenuated at the selected controllable mode, and conversely enlarged at a specified uncontrollable mode. It is verified that controllable modes can be effectively predicted by the proposed criterion, which promotes the application of AVC.

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Section: Simulation and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Investigation of Controllable Modes in Active Vibration Cancellation Induced by Piezoelectric Patches

Han

Sheng

2021

Applied Sciences

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“…Moreover, it is divorced from control task, so any control laws can be combined with the modal filter technique. Therefore, it has been widely used in structure vibration suppression [15], [34]. The details of the modal filter would not be introduced here, so that more focuses can be put in the formulation of the proposed controller.…”

Section: Recursive Decentralized Robust Controlmentioning

confidence: 99%

Recursive Decentralized Control for Trajectory Tracking of Flexible Space Manipulators

Zhang

2019

IEEE Access

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A recursive decentralized control scheme is presented for the trajectory tracking issue of flexible space manipulator. In the traditional decentralized control for manipulators, each link in the manipulator is viewed as an isolated second-order subsystem. Its interconnections with other links are viewed as disturbances. As a consequence, the obtained decentralized control has a simple structure but lacks high control performance. In this paper, the manipulator is considered as a set of connected secondorder subsystems. The interconnections between two adjacent links are revealed by the recursive kinematics and dynamics. In such a manner, the nominal value of the interaction forces is constructed and used for compensation to improve the tracking accuracy. Then, decentralized control is devised for each link to achieve trajectory tracking and vibration suppression of the flexible manipulator. The actuators are chosen as the joint motors and the distributed force or torque actuators on the flexible links. Under the assumption that the modal information of the flexible links is obtainable by the modal filter technique, an adaptive term in the controller is deduced for estimating the bound of the model uncertainties. Moreover, a steering logic is devised for the actuators to produce the required control. The obtained controller inherits the simple structure of the decentralized control and also achieves a higher tracking performance. The numerical examples of a free flying flexible manipulator are given to illustrate the effectiveness of the proposed control scheme. INDEX TERMS Decentralized control, flexible space manipulators, recursive dynamics, trajectory tracking.

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“…The main goal of optimal sensor placement is to determine the best locations of sensors on condition that the number and type of sensors are preset. In this process, a quantitative objective function is established to solve the problem of sensor placement based on some criteria, such as the Fisher information matrix (FIM), 2–4 the information entropy (IE) criterion, 5–7 the modal assurance criterion (MAC), 8–10 and the objective function is optimized to obtain the effective allocation of sensors using some algorithms under the circumstance that some constraints of sensor resources are taken into account. At present, the FIM-based optimization method, one of the effective ways, is widely used to determine sensor locations by maximizing the determinant of the FIM.…”

Section: Introductionmentioning

confidence: 99%

Optimal sensor placement based on multiattribute decision-making considering the common cause failure

Feng

Duan

Lin

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part C:

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A new optimal sensor placement is developed to improve the efficiency of fault diagnosis based on multiattribute decision-making considering the common cause failure. The optimal placement scheme is selected based on the reliability of the top event on condition that the number of sensors is preset. Specifically, a β-factor model is introduced to deal with the common cause failure, and dynamic fault tree is used to describe the dynamic failure behaviors. Besides, a dynamic fault tree is converted into a dynamic Bayesian network to calculate the reliability parameters, which construct the decision matrix. Furthermore, an efficient TOPSIS algorithm is adopted to determine the potential locations of sensors. In addition, a diagnostic sensor model is developed to take into account the failure sequence between a sensor and a component using a priority AND gate, and the failure probability of the top event for all sensor placement scenarios is calculated to determine the optimal sensor placement. Finally, a case is provided to prove that the common cause failure has made a considerable impact on the sensor placement.

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Optimal sensor placement for active control of floor vibration considering spillover effect associated with modal filtering

Cited by 16 publications

References 23 publications

Investigation of Controllable Modes in Active Vibration Cancellation Induced by Piezoelectric Patches

Investigation of Controllable Modes in Active Vibration Cancellation Induced by Piezoelectric Patches

Recursive Decentralized Control for Trajectory Tracking of Flexible Space Manipulators

Optimal sensor placement based on multiattribute decision-making considering the common cause failure

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