Optimal placement of piezoelectric actuator/sensor using genetic algorithm based on modal strain energy distribution

Feng Qian, Jian Guo Wang, Quan Wang, Huan Ping Pang

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Here, the active vibration control equation was derived from the finite element dynamic equations of a linear elastic piezoelectric structure. Finite element model of a laminated piezoelectric structure for modal analysis and vibration control was established by use of ANSYS/APDL parameter language. Based on the host structure modal strain energy distribution, a new objective function was developed. Taking actuator/sensor position order numbers as optimization variables, the optimization problem of a smart structure represented with discrete variables was formulated and solved using a binary-coded genetic algorithm (GA). Taking a clamped composite laminated piezoelectric plate as a numerical example, considering a direct proportional feedback control law, the control performance of the objective modal vibrations was studied with optimal collocated locations of actuator/sensor. Numerical results showed that the optimal solution with the genetic algorithm has better vibration control effect based on the modal strain energy distribution.

Original languageEnglish (US)
Pages (from-to)161-166
Number of pages6
JournalZhendong yu Chongji/Journal of Vibration and Shock
Volume32
Issue number11
StatePublished - Jun 15 2013

All Science Journal Classification (ASJC) codes

  • Mechanics of Materials
  • Acoustics and Ultrasonics
  • Mechanical Engineering

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