An optimization approach to optimal placement of collocated piezoelectric actuators and sensors on a thin plate

Halim, Dunant; Moheimani, S. O. Reza

doi:10.1016/s0957-4158(01)00079-4

Cited by 145 publications

(90 citation statements)

References 5 publications

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“…Bruant et al 13 adopted genetic algorithm to maximize two cost functions to ensure good controllability and observability of the structure. Other similar works can be found in Li et al, 14 Halim and Moheimani, 15 and Ducarne et al 16 However, there exists an essential difference between the piezoelectric actuators and the distributed CMGsthe mass and inertia of the piezoelectric material are negligible, whereas the angular momentum devices will significantly change the mass property of the system. Gyroelastic bodies with different distribution of stored angular momentum will exhibit different gyroelastic modes.…”

Section: Introductionmentioning

confidence: 78%

Placement optimization of actuators and sensors for gyroelastic body

Zhang

2015

Advances in Mechanical Engineering

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Gyroelastic body refers to a flexible structure with a distribution of stored angular momentum provided by fly wheels or control moment gyroscopes. The angular momentum devices can exert active torques to the structure for vibration suppression or shape control. This article mainly focuses on the placement optimization issue of the actuators and sensors on the gyroelastic body. The control moment gyroscopes and angular rate sensors are adopted as actuators and sensors, respectively. The equations of motion of the gyroelastic body incorporating the detailed actuator dynamics are linearized to a loosely coupled state-space model. Two optimization approaches are developed for both constrained and unconstrained gyroelastic bodies. The first is based on the controllability and observability matrices of the system. It is only applicable to the collocated actuator and sensor pairs. The second criterion is formulated from the concept of controllable and observable subspaces. It is capable of handling the cases of both collocated and noncollocated actuator and sensor pairs. The illustrative examples of a cantilevered beam and an unconstrained plate demonstrate the clear physical meaning and rationality of the two proposed methods.

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Section: Introductionmentioning

confidence: 78%

Placement optimization of actuators and sensors for gyroelastic body

Zhang

2015

Advances in Mechanical Engineering

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“…In order to address this problem, i.e. to determine the input voltages U j (t) while reducing the control spillover, the size, shape and location of the attached piezo-patches serve as degrees-of-freedom, which can be suitably determined by incorporating results from the optimal placement of actuators (see, e.g., [3]). For the particular problem, further details are omitted due to a lack of space and the interested reader is, e.g., referred to [1].…”

Section: Inversion-based Feedforward Control and Motion Planingmentioning

confidence: 99%

Inversion‐Based Feedforward Control for the Transient Shaping of a Piezo‐Actuated Cantilevered Kirchhoff Plate

Schröck

Meurer

Kugi

2008

Proc Appl Math and Mech

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Nowadays piezoelectric actuators are successfully applied for vibration suppression in structural mechanics. The progress in material and actuator development allows to put focus also on novel applications. In this contribution, a systematic approach for inversion-based feedforward control and motion planning is presented for the realization of a transient deflection profile of a cantilevered piezo-actuated plate modeling an adaptive wing.

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“…By surface-bonding them to a structure such as plate and beam, a superior structure is produced, which is capable to give the appropriate actuating force with the help of feedback control, thus making ita suitable vibration suppressor. Research works on AVC of flexible structures using piezoelectric materials are numerously reported in [3][4].…”

Section: Introductionmentioning

confidence: 99%

Ant Colony Optimization for Controller and Sensor-Actuator Location in Active Vibration Control

Nor

Muthalif

Wahid

2013

Journal of Low Frequency Noise, Vibration and Active Control

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Developing light weight yet stronger and more flexible panels in aircraft structure to with stand from failure due to vibration has been the interest of many researchers nowadays. Piezoelectric material has been the popular choice to attenuate vibration actively and numerous techniques of optimal control and actuator placement have been proposed. This paper discusseson active vibration control of a simply supported thin plate excited and actuated by piezoelectric patches. Mathematical model of the simply supported plate with piezoelectric patches is derived using Euler-Bernoulli model. The main focus is to find the optimal location of the collocated sensor-actuatorand controller gains using a swarm intelligent algorithm called Ant Colony Optimization (ACO) which later verified with Genetic Algorithm (GA). A simply supported plate is taken as a benchmark model to perform simulation study.

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An optimization approach to optimal placement of collocated piezoelectric actuators and sensors on a thin plate

Cited by 145 publications

References 5 publications

Placement optimization of actuators and sensors for gyroelastic body

Placement optimization of actuators and sensors for gyroelastic body

Inversion‐Based Feedforward Control for the Transient Shaping of a Piezo‐Actuated Cantilevered Kirchhoff Plate

Ant Colony Optimization for Controller and Sensor-Actuator Location in Active Vibration Control

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