Working Paper Article Version 1 This version is not peer-reviewed

Unstructured Uncertainty Based Modeling and Robust Stability Analysis of Textile-Reinforced Composites with Embedded Shape Memory Alloys

Version 1 : Received: 20 December 2019 / Approved: 22 December 2019 / Online: 22 December 2019 (01:56:09 CET)

A peer-reviewed article of this Preprint also exists.

Keshtkar, N.; Röbenack, K. Unstructured Uncertainty Based Modeling and Robust Stability Analysis of Textile-Reinforced Composites with Embedded Shape Memory Alloys. Algorithms 2020, 13, 24. Keshtkar, N.; Röbenack, K. Unstructured Uncertainty Based Modeling and Robust Stability Analysis of Textile-Reinforced Composites with Embedded Shape Memory Alloys. Algorithms 2020, 13, 24.

Journal reference: Algorithms 2020, 13, 24
DOI: 10.3390/a13010024

Abstract

This paper develops the mathematical modeling and deflection control of a textile-reinforced composite integrated with shape memory actuators. The model of the system is derived using identification method and unstructured uncertainty approach. Based on this model and robust stability analysis a robust proportional-integral controller is designed for controlling the deflection of the composite. The performance of the proposed controller is compared with a classical one through experimental analysis.

Subject Areas

textile reinforced composite; shape memory alloy; robust stability

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