Panel 2 : Dynamic identification

Overview of the Dynamic identification panel

MILS's second panel is depicted in Figure 1. It provides the user with ten actions or steps to complete a dynamic LS identification, as indicated by labels 2.1 to 2.10 in that figure. The mandatory steps are labeled in blue, while the optional actions are displayed in yellow.

Figure 1. MILS's dynamic identification panel.

Mandatory steps in dynamic identification

A dynamic identification consists of a five-step procedure in MILS. The mandatory steps are described below:

  • Step 2.1: Click on button Load measurement, which is labeled as 2.1 in Figure 1. MILS opens a dialog box asking for measurement files. The user must here provide a set of measurement files representing a certain number of dynamic hysteresis loops of the steel sheet.
    Note: The files used in the dynamic identification step share the same format of the files used in Step 1.1 of the static identification. However, they are supposed to represent hysteresis loops measured under different experimental circumstances (i.e., higher frequencies and peak magnetic flux density reaching saturation). A detailed description of MILS's input formats and a discussion on the differences between the static and dynamic file sets are available here.
    Note: If the measurement files are loaded correctly, MILS will display the measurements provided by the user in the Curves preview window, as shown in Figure 2.
    Figure 2. Hysteresis loop measurements displayed at the Curve preview window of the Dynamic Identification panel in MILS.
  • Step 2.2: Provide the resistivity value of the electrical steel sheet, measured in μΩ.cm.
  • Step 2.3: Analogously, provide the thickness of the electrical steel sheet, in mm.
  • Step 2.4: Launch the dynamic identification by clicking on the Run identification button, which is labeled as 2.4 inFigure 1.
    Note: The results are displayed automatically in the Verification window, as shown in Figure 3. The curves in red represent the reconstruction provided by the identified dynamic model, while the colored curves correspond to the measurement files.
    Figure 3. After a successful dynamic identification, the Verification window displays a comparison between the measurements and the fitted dynamic LS model.
  • Step 2.5: Once the dynamic identification is completed, click on the button To Global verification (labeled as 2.5 in Figure 1) to continue to the Overall Verification panel of MILS and proceed with the LS model identification.

Optional actions in dynamic identification

  • Refresh Panel: Clicking on button Refresh Panel (labeled as 2.6 in Figure 1) refreshes the Curve preview and Verification windows. Use this action to reset zoom settings and to change the colors of the displayed data sets in those windows.
  • Change graphical output: After completing step 2.4 (Run identification), the user may change the format of the graphical output displayed in the Verification window. The four options available (labeled as 2.7 in Figure 1) are:
    • Hdyn(B,dB/dt = cst): displays the behavior of the dynamic component of the reconstructed magnetic intensity H as a set of curves. Each curve is given by a single-variable function of magnetic flux density B for different constant values of time derivative dB/dt.
    • Hdyn(B=cst,dB/dt): displays the behavior of the dynamic component of the reconstructed magnetic intensity H as a set of curves. Each curve is given by a single-variable function of time derivative dB/dt, for different constant values o magnetic flux density B.
    • Hdyn 3D Surf: displays the behavior of dynamic component of the reconstructed magnetic intensity H as a surface. This surface is given by a two-variable function relating H to magnetic flux density B and its time derivative dB/dt.
    • H(B,dB/dt): compares the reconstructed H(B,dB/dt) hysteresis loops to the measurements provided for the dynamic identification. The reconstructed loops are displayed in red, and the measured loops are displayed in other colors, resulting in a pair of loops for each input measurement file/frequency.
      Note: The displayed graphical results may be extrapolated to values outside the range implicit in the measurement files provided during the dynamic identification step. This is achieved by checking the option Extrapolation while choosing one of the Graphical output options above.
  • Save or Load Identification: After completing steps 2.1 to 2.4, the user may save the dynamic identification results for a later use by clicking on button Save ID, marked as 2.8 in Figure 1. The saved results are stored in a MAT file (i.e., in Compose's workspace format). Conversely, a MAT file containing dynamic identification results may be loaded by clicking on button Load ID (labeled as 2.9 in Figure 1).
  • Return to static identification: The user may return to the Static Identification step by clicking on button To static ID. This button is marked as 2.10 in Figure 1.

Further reading

LS model identification with MILS

How to start MILS

How to use MILS to generate an LS model

Panel 1: Static identification

Panel 3: Overall verification

Panel 4: Model generation for Flux

MILS's input and output files formats

Bibliographical references on the LS model

Isotropic soft magnetic material: iron sheets described by LS model