Optimal dynamic control of laminated adaptive structures using a higher order model and a genetic algorithm

被引:15
|
作者
Moita, Jose S. [1 ]
Martins, Pedro G. [2 ]
Soares, Cristovao M. Mota [2 ]
Soares, Carlos A. Mota [2 ]
机构
[1] Univ Algarve, Escola Super Tecnol, P-8000 Faro, Portugal
[2] Univ Tecn Lisboa, IDMEC IST, P-1049001 Pais, Portugal
关键词
active control; sensors and actuators; adaptive structures; optimization; higher order model; finite elements; piezolaminated plates;
D O I
10.1016/j.compstruc.2007.01.034
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper deals with a finite element formulation based on the third-order shear deformation theory, for active control of thin plate laminated structures with integrated piezoelectric layers acting as sensors and actuators. The finite element model is a single layer triangular plate/shell element with 24 degrees of freedom for the generalized displacements, and one electrical potential degree of freedom for each piezoelectric element layer, which can be surface bonded or embedded on the laminate. To achieve a mechanism for the active control of the structural dynamics response, a feedback control algorithm is used, coupling the sensor and active piezoelectric layers. To calculate the dynamic response of the laminated structures the Newmark method is considered. The control is initialized through an optimization of the core of the laminated structure in order to minimize the vibration amplitude. Also the optimization of the patch positions is performed to maximize the piezoelectric actuator efficiency. For these purposes the genetic algorithm is used. The model is applied in the solution of an illustrative example and the results are presented and discussed. (c) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:198 / 206
页数:9
相关论文
共 50 条
  • [31] Reduced order optimal control using genetic algorithms
    Chellaboina, V
    Ranga, MK
    ACC: PROCEEDINGS OF THE 2005 AMERICAN CONTROL CONFERENCE, VOLS 1-7, 2005, : 1407 - 1412
  • [32] Optimal signal control using adaptive dynamic programming
    Kim, CO
    Park, Y
    Baek, JG
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2005, VOL 4, PROCEEDINGS, 2005, 3483 : 148 - 160
  • [33] Supervisory and optimal control of central chiller plants using simplified adaptive models and genetic algorithm
    Ma, Zhenjun
    Wang, Shengwei
    APPLIED ENERGY, 2011, 88 (01) : 198 - 211
  • [34] Optimal Placement of Fault Indicators using Adaptive Genetic Algorithm
    Cruz, Hector Orellana
    Leao, Fabio Bertequini
    2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, 2017,
  • [35] Optimal reactive power dispatch using an adaptive genetic algorithm
    Dept. of Elec. Eng. and Electronics, University of Liverpool, Liverpool L69 3GJ, United Kingdom
    International Journal of Electrical Power and Energy System, 1998, 20 (08): : 563 - 569
  • [36] Seismic motion control of structures using an adaptive optimal model-free controller
    Sourni, Saeid
    Batmani, Yazdan
    Karami, Kaveh
    JOURNAL OF VIBRATION AND CONTROL, 2021, 27 (19-20) : 2368 - 2384
  • [37] Flutter analysis of rotary laminated composite structures using higher-order kinematics
    Bharati, Raj B.
    Mahato, Prashanta K.
    Filippi, M.
    Carrera, E.
    COMPOSITES PART C: OPEN ACCESS, 2021, 4
  • [38] Optimal reactive power dispatch using an adaptive genetic algorithm
    Wu, QH
    Cao, YJ
    Wen, JY
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 1998, 20 (08) : 563 - 569
  • [39] A New Algorithm to Control Dynamic Stability of Higher-Order Systems
    Mir-Nasiri, Nazim
    Ali, Md Hazrat
    2018 8TH IEEE INTERNATIONAL CONFERENCE ON CONTROL SYSTEM, COMPUTING AND ENGINEERING (ICCSCE 2018), 2018, : 53 - 58
  • [40] Optimal higher order learning adaptive control for a class of SISO Nonlinear systems
    Chi Ronghu
    Hou Zhongsheng
    Proceedings of the 24th Chinese Control Conference, Vols 1 and 2, 2005, : 827 - 831