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IASS 2016 Tokyo Symposium: Spatial Structures in the 21st Century


IASS Symposium 2016

SESSION: Bio-inspired Control of Structures

Structures that learn, self-diagnose and adapt

< Table of Contents for Bio-inspired Control of Structures
  • Proceedings Name: IASS 2016 Tokyo Symposium: Spatial Structures in the 21st Century
  • ISSN: (Electronic Version) 2518-6582
  • Session: Bio-inspired Control of Structures
  • Pages: 9
  • Title: Structures that learn, self-diagnose and adapt
  • Author(s): Ian Smith
  • Keywords: bio-inspired control, learning, self-diagnosis, damage tolerance
Abstract
Modern sensing, computing and control technologies are creating opportunities for innovations in structural engineering. This paper describes how bio-inspired ideas have been implemented on two adaptable structures over several years. It is shown how the following three ideas are implemented: previous control experience is reused to improve future control performance (learning); small movements are used to identify damage (self-diagnosis); and damaged structures are adapted so that their performance is improved (damage tolerance). Computing algorithms include stochastic search (sometimes called evolutionary algorithms), case-based reasoning and reinforcement learning. While the first structure has been actuated to maintain form, the second structure has been actuated to deploy, thereby demonstrating how large shape changes over several degrees of freedom can be controlled. These two structures have provided useful platforms to develop, test and evaluate solutions for adaptive structures.

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