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Heat source identification and on-line temperature control by a Branch Eigenmodes Reduced Model
Authors:Etienne Videcoq  Olivier Quemener  Myriam Lazard  Alain Neveu
Affiliation:1. Laboratoire de Mécanique et d’Energétique d’Evry (LMEE) 40, rue du Pelvoux, 91 020 Evry Cedex, France;2. Institut Supérieur d’Ingénierie de la Conception (InSIC) 27, rue d’Hellieule, 88 100 Saint-Dié-Des-Vosges, France;1. State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150080, China;2. Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, 150080, China;3. School of Computing, Engineering and Mathematics, Western Sydney University, Sydney, NSW 2751, Australia;1. LISA (EA 4094), Université d''Angers, 62 avenue Notre Dame du Lac, 49000 Angers, France;2. Xlim-SIC (UMR CNRS 7252), Université de Poitiers, Bât. SP2MI, Bvd Marie et Pierre Curie, BP 30179, 86962 Futuroscope Chasseneuil Cedex, France;3. CEA/DSM/IRFM CEA-Cadarache, 13108 Saint Paul Lez Durance, France;4. CICESE Research Center, Km 107. Carretera Tijuana-Ensenada, Ensenada, B.C. 22860, Mexico;1. Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240, China;2. Shanghai Huawei Technologies Co., Ltd., Shanghai 201206, China;3. College of Automation Science and Technology, South China University of Technology, Guangzhou 510641, China;4. School of Mechanical and Electronical Engineering, Hainan University, Haikou 570228, China;1. Complex Systems Control Laboratory, University of Georgia, Athens, GA 30602, USA;2. Institute of Control Systems, Hamburg University of Technology, 21073 Hamburg, Germany
Abstract:This paper presents the advantages of a Branch Eigenmodes Reduced Model used in a control process of a heating system.The experimental setup is a 3D heat conductive system in which a heat source is set. First, the reduced model is used to solve the non-linear Inverse Heat Conduction Problem: identification of the heat source strength variations from time-varying temperatures. Then, the reduced model is used to control hot points in the system. The objective of the method is to allow sequential temperature control by decreasing the computation time necessary for the simulation.
Keywords:
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