A new robust control framework for heat transfer equations through $ L_1 $ robust stability analysis and the design of a 2-DoF robust LQI controller

This paper developed a new robust control framework for uncertain heat transfer systems with a rapid thermal annealing (RTA) processes. We first employed the spatial discretization and Taylor linearization schemes in the nonlinear partial differential equation describing the dynamic behavior of heat transfer systems, by which a linear time-invariant (LTI) system with model uncertainties was derived. More precisely, the model uncertainties were decomposed into feedforward and feedback components, and they were shown to be bounded in terms of the $ L_\infty $(-induced) norm. This representation allowed us to establish an $ L_1 $ robust stability condition for uncertain heat transfer systems. We next designed a 2-degree-of-freedom (2-DoF) robust linear quadratic integral (LQI) controller to achieve the $ L_1 $ robust stability condition and reduce the effects of the model uncertainties on the associated tracking accuracy. Finally, some simulations were given to verify the effectiveness of the developed method.

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Publication Details

Journal
AIMS Mathematics
Published
2025-01-01
DOI
https://doi.org/10.3934/math.2025859
Primary Topic
Advanced Control Systems Optimization
Type
article
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article

A new robust control framework for heat transfer equations through $ L_1 $ robust stability analysis and the design of a 2-DoF robust LQI controller

Taewan Kim, Jihyun Park, Jung‐Hoon Kim
AIMS Mathematics
Advanced Control Systems Optimization
article

A new robust control framework for heat transfer equations through $ L_1 $ robust stability analysis and the design of a 2-DoF robust LQI controller

Taewan Kim, Jihyun Park, Jung‐Hoon Kim
article en

Abstract

This paper developed a new robust control framework for uncertain heat transfer systems with a rapid thermal annealing (RTA) processes. We first employed the spatial discretization and Taylor linearization schemes in the nonlinear partial differential equation describing the dynamic behavior of heat transfer systems, by which a linear time-invariant (LTI) system with model uncertainties was derived. More precisely, the model uncertainties were decomposed into feedforward and feedback components, and they were shown to be bounded in terms of the $ L_\infty $(-induced) norm. This representation allowed us to establish an $ L_1 $ robust stability condition for uncertain heat transfer systems. We next designed a 2-degree-of-freedom (2-DoF) robust linear quadratic integral (LQI) controller to achieve the $ L_1 $ robust stability condition and reduce the effects of the model uncertainties on the associated tracking accuracy. Finally, some simulations were given to verify the effectiveness of the developed method.

AIMS MathematicsVol. 10(8)
Pohang University of Science and Technology (KR), Korea Institute of Robot and Convergence (KR)
Affordable and clean energy
Openalex Percentile: Top 73%
Advanced Control Systems Optimization
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