Multiobjective design of piezoelectrically damped structures

Duane E. Veley, Singiresu S Rao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Both the control system and the structure of piezoelectrically damped structures are designed. The structural problem is modelled using the QUAD4 element which is modified to include piezoelectric layers in the composite layup. Three control algorithms are considered proportional-derivative (PD), output feedback (OPFB) and the linear quadratic regulator (LQR). The damping treatment is also allowed to move on the structure and to distort its shape so as to improve the damping characteristics of the design. The structure is designed for minimum mass, optimal damping ratios and a controllability index with constraints on the closed loop frequency and damping treatment size and location. Both beam and plate structures are designed. The PD and OPFB controllers are used for the active control of the beam and the LQR is used to design the active controller for the plates. Results are presented for both single and multiobjective designs. Two multiobjective optimal designs are implemented, goal programming and fuzzy set theory.

Original languageEnglish (US)
Title of host publication6th Symposium on Multidisciplinary Analysis and Optimization
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
Pages857-865
Number of pages9
StatePublished - 1996
Externally publishedYes
Event6th AIAA/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, 1996 - Bellevue, United States
Duration: Sep 4 1996Sep 6 1996

Other

Other6th AIAA/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, 1996
CountryUnited States
CityBellevue
Period9/4/969/6/96

ASJC Scopus subject areas

  • Aerospace Engineering
  • Mechanical Engineering

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  • Cite this

    Veley, D. E., & Rao, S. S. (1996). Multiobjective design of piezoelectrically damped structures. In 6th Symposium on Multidisciplinary Analysis and Optimization (pp. 857-865). American Institute of Aeronautics and Astronautics Inc, AIAA.