Inverse Model for the Control of Induction Heat Treatments
| Autor: | Petri Prevedel, Werner Ecker, Manfred Mücke, Mohammad Zhian Asadzadeh, Peter Raninger |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Work (thermodynamics)
Induction heating Cost effectiveness Computer science model-based control Inverse 02 engineering and technology process control induction heating lcsh:Technology Article 0203 mechanical engineering Control theory heat transfer 0202 electrical engineering electronic engineering information engineering Process control General Materials Science lcsh:Microscopy lcsh:QC120-168.85 lcsh:QH201-278.5 lcsh:T 020208 electrical & electronic engineering inverse model Power (physics) Nonlinear system 020303 mechanical engineering & transports lcsh:TA1-2040 Control system lcsh:Descriptive and experimental mechanics lcsh:Electrical engineering. Electronics. Nuclear engineering process modelling lcsh:Engineering (General). Civil engineering (General) lcsh:TK1-9971 |
| Zdroj: | Materials, Vol 12, Iss 17, p 2826 (2019) Materials Volume 12 Issue 17 |
| ISSN: | 1996-1944 |
| Popis: | In this work, we present and test an approach based on an inverse model applicable to the control of induction heat treatments. The inverse model is comprised of a simplified analytical forward model trained with experiments to predict and control the temperature of a location in a cylindrical sample starting from any initial temperature. We solve the coupled nonlinear electromagnetic-thermal problem, which contains a temperature dependent parameter &alpha to correct the electromagnetic field on the surface of a cylinder, and as a result effectively the modeled temperature elsewhere in the sample. A calibrated model to the measurement data applied with the process information such as the operating power level, current, frequency, and temperature provides the basic ingredients to construct an inverse model toolbox, which finally enables us to conduct experiments with more specific goals. The input set values of the power supply, i.e., the power levels in the test rig control system, are determined within an iterative framework to reach specific target temperatures in prescribed times. We verify the concept on an induction heating test rig and provide two examples to illustrate the approach. The advantages of the method lie in its simplicity, computationally cost effectiveness and independence of a prior knowledge of the internal structure of power supplies. |
| Databáze: | OpenAIRE |
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