Successive Linearization in Model-based Control for Thermal Management Systems
The increasing electrical and thermal loads on-board of air vehicles, driven largely by the trend of electrification, present a significant challenge to the design and operation of thermal management systems. We propose in this paper a successive linearization algorithm for dynamical model-based con...
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| Veröffentlicht in: | 2018 Annual American Control Conference (ACC) S. 1540 - 1545 |
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| Hauptverfasser: | , |
| Format: | Tagungsbericht |
| Sprache: | Englisch |
| Veröffentlicht: |
AACC
01.06.2018
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| Schlagworte: | |
| ISSN: | 2378-5861 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | The increasing electrical and thermal loads on-board of air vehicles, driven largely by the trend of electrification, present a significant challenge to the design and operation of thermal management systems. We propose in this paper a successive linearization algorithm for dynamical model-based control of aircraft thermal management systems. Successive linearization provides a systematic approach to generate linearization trajectories for the nonlinear dynamics by successively solving convex optimization-based optimal control problems. The proposed algorithm overcomes the challenges associated with real-time optimal control for aircraft thermal management system with respect to the nonlinear dynamics where a steady-state linearization trajectory might not capture the actual system dynamics. We demonstrate the effectiveness of the proposed technique on the control of an aircraft fuel thermal management system example. |
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| ISSN: | 2378-5861 |
| DOI: | 10.23919/ACC.2018.8430875 |