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Communication Dans Un Congrès Année : 2022

Computation time reducing via non linearity isolating and constraint handling in fixed-point based hierarchical control framework.

Résumé

This paper presents an extension of a recently proposed hierarchical control framework applied to a cryogenic system: [1]. Under the assumption made in [1], each subsystem in the decomposition needed at least one control input and one regulated output, which is not practical, especially when a nonlinear subsystem could be decomposed into several smaller subsystems. Consequently, such an assumption limit those valid decompositions that may result in more tractable optimization control problems and thus reduce the computation burden. In this paper, this assumption is removed, allowing greater flexibility in the definition of the decomposition graph, meaning that small nonlinear entities and large linear-considerable subsystems are detached, resulting in more tractable control problems. The impact of this increased flexibility on the computational time and its performance are shown using the same cryogenic station where a decomposition into four subsystems is made possible (instead of two in the previous framework).
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Dates et versions

hal-03633513 , version 1 (23-10-2023)

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Xuan-Huy H Pham, Mazen Alamir, Francois Bonne, Patrick Bonnay. Computation time reducing via non linearity isolating and constraint handling in fixed-point based hierarchical control framework.. ICCA 2022 - 17th IEEE International Conference on Control and Automation (ICCA 2022), Jun 2022, Naples, Italy. ⟨10.1109/ICCA54724.2022.9831869⟩. ⟨hal-03633513⟩
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