Extrusion process control: Modeling, identification, and optimization

被引:5
|
作者
Tibbetts, BR [1 ]
Wen, JTY
机构
[1] Rensselaer Polytech Inst, New York State Ctr Adv Technol Automat Robot & Mf, Troy, NY 12180 USA
[2] Rensselaer Polytech Inst, Dept Elect Comp & Syst Engn, Troy, NY 12180 USA
关键词
approximation methods; identification; metal industry; modeling; optimization methods; partial differential equations; process control; spectral; approximation;
D O I
10.1109/87.664181
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Our work has been focused on developing a methodology for process control of bulk deformation-specifically, extrusion, A process model is required for control, We state the difficulties which exist with currently available models, An appropriate decomposition and associated assumptions are introduced which permit a real-time process model to be constructed via spectral approximation to solve the axi-symmnetric two-dimensional (2-D) transient heat conduction equation with heat generation and loss, This solution, simulation results, and model execution times are provided. We use this model development plus output relationships from previous model development work to develop parameter identification and open-loop control methodologies, These methodologies are motivated by the structure and properties of the developed model, We demonstrate that the parameters and control variables enter into the model equations so that the identification and open-loop optimization problems are tractable, An example with plant trial data is provided.
引用
收藏
页码:134 / 145
页数:12
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