This is a graphical tool for browsing output data of an electical drives simulation (e.g. form Matlab Simulink) in the space vector domain and in the rotor flux linkage reference frame.
Usually this data is graphed along several time axis in different scales or in a static locus around the x-y plane. This allows to view the complete development of all the scalar vector components at once, but leaves the spatial interpretation completely to the viewer.
This tool allows viewing the vecotr value development graphically one sample at a time. By browsing through the simulation, the value development is animated under full control of the viewer.
A full description of the tool can be found in: M. Stunda, "Graphical Tool for Browsing Motor Control Simulation Data in the Space Vector Domain," 2019 IEEE 7th IEEE Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE), Liepaja, Latvia, 2019, pp. 1-5.
This is a continuation of a previous project that ran on simplified motor model equations.
The user only has conrol over the timepoint within the simulation. This is manipulated by four differently scaled sliders. By using diferent sliders, different processes can be observed best.
The top slider, which moves the timepoint the fastest, is best for viewing slow processes, such as the magnetization of the machine. This is resembled by the i_mr vector, as it grows towards the target.
The botom slider, which can be used to move the timepoint by a single sample, is best for viewing the fastest processes, such as switching of the gates and changing of the electrical torque, which has the highest bandwidth.
The "zoom coefficient" required to browse by single sample is of course dependent on the length and resolution of the simulation.
Here is a recording of operating all the sliders.
The middle sliders are best for observing the current space vector following it's target and the voltage space vector required to do so.
The graphical interface is built using Python 3.7 and the TkInter library.
For a quick and easy isolated Python 3.x setup the Miniconda installer (not full Anaconda) and the Spyder IDE can be recommended. After installing miniconda Spyder can be installed through the Anaconda Prompt by running:
conda install spyder
If not yet installed, the following Python packages will be required:
- xlrd and pandas for reading the spreadsheet
- math for calculating the rotating Hexagon
- tk for building the GUI.
To produce the space vector values, simulation data must be exported from Matlab Simulink in spreadsheet (.xlsx) format using "To Workspace". The column indentifiers and simulation length must be modified within the code to match the spreadsheet contents. A sample spreadsheet is added to run the code instantly. Loading it might take a while.