Optimal Sensitivity Control of Piezoelectric Smart Truss Based on POS Algorithm

DOI

10.2991/meees-18.2018.43How to use a DOI?

Keywords

truss structure;modal sensor;particle swarm optimization algorithm.

Abstract

The optimal sizing design of truss structures is studied using the recently proposed particle swarm optimization algorithm (PSOA), in which the social behavior of birds is mimicked. Individual birds in a flock exchange information about their position, velocity and fitness, and the behavior of the flock is then influenced to increase the probability of migration to regions of high fitness. A simple approach is presented to accommodate the stress and displacement constraints during initial stages of the swarm searches. In this approach, increased social pressure, at the cost of cognitive learning, is exerted on infeasible birds to increase their rate of migration to feasible regions. Numerical results are presented for a number of well known test functions, with dimensionality of up to 21.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiangjie Chen
PY  - 2018/05
DA  - 2018/05
TI  - Optimal Sensitivity Control of Piezoelectric Smart Truss Based on POS Algorithm
BT  - Proceedings of the 2018 International Conference on Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018)
PB  - Atlantis Press
SP  - 245
EP  - 248
SN  - 2352-5401
UR  - https://doi.org/10.2991/meees-18.2018.43
DO  - 10.2991/meees-18.2018.43
ID  - Chen2018/05
ER  -