The application of genetic algorithms for shape control with piezoelectric patches—an experimental comparison

The problem of shape control and correction of small displacements in composite structures using piezoelectric actuators glued or embedded was addressed. A finite element model based on Mindlin plate theory was used to characterize the behaviour of the structure and the one of the actuators. Emphasis was put on the development of an efficient and general methodology, based on genetic algorithms, for the determination of the optimal actuation voltages needed to apply to the piezoelectric actuators in such a way that a pre-defined shape of the structure is achieved. The model was investigated numerically and verified experimentally. Measurements were carried out using electronic speckle pattern interferometry. Good agreement was found between simulation results and the optically measured values.

[1]  K. Chandrashekhara,et al.  Adaptive Shape Control of Composite Beams with Piezoelectric Actuators , 1997 .

[2]  Mário Vaz,et al.  NDI of interfaces in coating systems using digital interferometry , 2000 .

[3]  Carlos A. Mota Soares,et al.  Numerical model for the optimal design of composite laminated structures with piezoelectric laminate , 1999, Smart Structures.

[4]  H. F. Tiersten,et al.  Linear Piezoelectric Plate Vibrations , 1969 .

[5]  László P. Kollár,et al.  Shape Control of Composite Plates and Shells with Embedded Actuators. I. Voltages Specified , 1994 .

[6]  L. Kollár,et al.  Shape Control of Composite Plates and Shells with Embedded Actuators. II. Desired Shape Specified , 1994 .

[7]  Santosh Kapuria,et al.  Three-dimensional solution for simply-supported piezoelectric cylindrical shell for axisymmetric load , 1997 .

[8]  H. Banks,et al.  Computational Methods for Identification and Feedback Control in Structures with Piezoceramic Actuators and Sensors , 1993 .

[9]  Junjiro Onoda,et al.  Optimal locations of actuators for statistical static shape control of large space structure - A comparison of approaches , 1992 .

[10]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[11]  H. Irschik,et al.  An Exact Solution for Static Shape Control Using Piezoelectric Actuation , 1998 .

[12]  Rui Ribeiro,et al.  Genetic algorithms for optimal design and control of adaptive structures , 2000, Smart Structures.

[13]  William A. Crossley,et al.  Investigation of Genetic Algorithm approaches for smart actuator placement for aircraft maneuvering , 2001 .

[14]  W. Hwang,et al.  Finite Element Modeling of Piezoelectric Sensors and Actuators , 1993 .

[15]  A. Suleman,et al.  A Simple Finite Element Formulation for a Laminated Composite Plate with Piezoelectric Layers , 1995 .

[16]  J. Rodrigues,et al.  Shape Control of Structures with PZT Actuators Using Genetic Algorithms , 2001 .

[17]  Colin H. Hansen,et al.  Use of genetic algorithms to optimize vibration actuator placement for active control of harmonic interior noise in a cylinder with floor structure , 1996 .

[18]  Haim Abramovich,et al.  A Self-Sensing Piezolaminated Actuator Model for Shells Using a First Order Shear Deformation Theory , 1995 .