2000
DOI: 10.1088/0964-1726/9/2/311
|View full text |Cite
|
Sign up to set email alerts
|

Optimal piezo-actuator locations/lengths and applied voltage for shape control of beams

Abstract: Shape control of beams under general loading conditions is implemented using piezoceramic actuators to provide the control forces. The objective of the shape-control is to minimize the maximum deflection of the beam to obtain a min-max deflection configuration with respect to loading and piezo-actuators. In practice, the loading on a beam is a variable quantity with respect to its magnitude, and this aspect can be handled easily by optimizing the magnitude of the applied voltage to achieve the min-max deflecti… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
47
0

Year Published

2004
2004
2022
2022

Publication Types

Select...
8
2

Relationship

0
10

Authors

Journals

citations
Cited by 70 publications
(47 citation statements)
references
References 15 publications
(19 reference statements)
0
47
0
Order By: Relevance
“…On the other hand, Barboni et al [10] used a method combining a dynamic influence function and closed-loop feedback to study the optimal location of a pair of piezoelectric actuators, thus maximizing piezoelectric intelligent beam displacement. Another study considered the influence of the location, dimension, and voltage of piezoelectric actuators on shape control, and performed multi-objective optimization of cantilever shape control, minimizing beam deflection under the external load effect [11]. Conversely, Zhang et al [12] studied the integrated optimization configuration problem of piezoelectric actuators and sensors in a flexible structure system by applying the genetic algorithm, while Da Mota Silva et al [13] used the variance between the preset and real displacement of a specific node to study the static shape control of self-adaptable structure, established an infinite model of the structure system, and determined the optimal driving voltage of piezoelectric elements by applying the genetic algorithm.…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, Barboni et al [10] used a method combining a dynamic influence function and closed-loop feedback to study the optimal location of a pair of piezoelectric actuators, thus maximizing piezoelectric intelligent beam displacement. Another study considered the influence of the location, dimension, and voltage of piezoelectric actuators on shape control, and performed multi-objective optimization of cantilever shape control, minimizing beam deflection under the external load effect [11]. Conversely, Zhang et al [12] studied the integrated optimization configuration problem of piezoelectric actuators and sensors in a flexible structure system by applying the genetic algorithm, while Da Mota Silva et al [13] used the variance between the preset and real displacement of a specific node to study the static shape control of self-adaptable structure, established an infinite model of the structure system, and determined the optimal driving voltage of piezoelectric elements by applying the genetic algorithm.…”
Section: Introductionmentioning
confidence: 99%
“…The transverse deformation of the initial structure is thus the function of the sensor (actuator) position. Hence, as it was shown in works [6][7][8], the transverse deformation of the initial structure can be used as a criterion for selection of the optimal location of sensors or actuators.…”
Section: Introductionmentioning
confidence: 99%
“…It is well known that smart materials, such as piezoelectric and ferroelectric ceramics, which have outstanding thermo-electro-mechanic coupling characteristics, have been widely used as sensors and actuators in practical engineering structures; Crawley and de Luis (1987), Lee and Moon (1990), Liang and Rogers (1992), , Chen and Levy (1996), Brinson et al (1997), Bruch et al (2000, Wang and Wang (2000), Cheng et al (2000a), Pae et al (2000), Batra and Geng (2001), Wu et al (2001), Luo and Tong (2002), Shaw (2002), Tsai and Chen (2002) and Cheng et al (2005a,b). Further, due to the elasticity and shape memory characteristics, as detailed in Fig.…”
Section: Introductionmentioning
confidence: 99%