English

Improved residual mode separation for finite-dimensional control of PDEs: application to the Euler-Bernoulli beam

Optimization and Control 2025-02-20 v4

Abstract

We consider a simply-supported Euler-Bernoulli beam with viscous and Kelvin--Voigt damping. Our objective is to attenuate the effect of an unknown distributed disturbance using one piezoelectric actuator. We show how to design a suitable HH_\infty state-feedback controller based on a finite number of dominating modes. If the remaining (infinitely many) modes are ignored, the calculated L2L^2 gain is wrong. This happens because of the spillover phenomenon that occurs when the effect of the control on truncated modes is not accounted for in the feedback design. We propose a simple modification of the HH_\infty cost that prevents spillover. The key idea is to treat the control as a disturbance in the truncated modes and find the corresponding L2L^2 gains using the bounded real lemma. These L2L^2 gains are added to the control weight in the HH_\infty cost for the dominating modes, which prevents spillover. A numerical simulation of an aluminum beam with realistic parameters demonstrates the effectiveness of the proposed method. The presented approach is applicable to other types of PDEs, such as the heat, wave, and Kuramoto-Sivashinsky equations, as well as their semilinear versions. While this work focuses on HH_\infty control, the same methodology can be applied to guaranteed cost control, regional stability analysis, input-to-state stability, and systems with time-varying delays, including sampled-data systems.

Keywords

Cite

@article{arxiv.2308.05551,
  title  = {Improved residual mode separation for finite-dimensional control of PDEs: application to the Euler-Bernoulli beam},
  author = {Anton Selivanov and Emilia Fridman},
  journal= {arXiv preprint arXiv:2308.05551},
  year   = {2025}
}

Comments

This paper was accepted for publication in Systems and Control Letters. The preliminary version of the paper was accepted for presentation at IEEE Conference on Decision and Control 2023