GA Optimisation for Smart Structures

GA Optimisation for Smart Structures

Modified Genetic Algorithms for Smart Control of simple Beams & Plates

Objective:

To achieve the optimal shape control using genetic algorithms subjected to smart piezoelectric actuator pairs surface bonded to thin laminated composite beams and plates

Scope of research:

To develop and investigate the effects, results and implications of the Genetic Algorithms on the optimal control configuration using smart piezoceramic actuator pairs
To investigate the effects and implications of variations of structural configurations and smart control configurations, involving desired control state and patch actuator pair configurations on thin laminated composite beams and plates

Project requirements:

Keywords
Assumptions
Critical literature review
Optimisation tool (170KB): GA ability for discrete, non-linear, constrained programming for implicit objective function set

Composite beams & plates: effects & implications of composite action on effectiveness of smart control

System design:

Controlled state:

Simple Genetic Algorithm / GA overall view:

System requirements:

486 PC & above, with 4 MB RAM
C/C++ compiler: GA programs
Matlab: visualization, non-intensive numerical manipulation

Technical paper:

A copy of the technical paper can be found here (360KB)

Disclaimer:

All information, tools, results and applications provided herein are free for use with the condition that the development team is under no liability for any damages caused from usage.

Hosted by www.Geocities.ws