
Include the core loss component in the simulation model by adding a magnetic loss resistor across the winding to represent core losses, alongside the winding parasitic resistance to improve accuracy.
Explore the flyback converter topology: how energy stores in the magnetizing inductance during on-time and discharges through the secondary to charge the output, with multiple windings and a regulated output.
Design and simulate a flyback converter circuit in a Python-based magnetics framework, integrating input and interface circuits, transformer windings, switches, capacitors, and output load.
Verify the switched voltage on the flyback transformer primary by analyzing pulse width modulation signals in a python-based magnetics simulation, noting duty cycle effects and leakage spikes.
This course covers the theory of transformers by simulating them. The simulation models are built from first principles using fundamental laws of physics. To ease the process of bridging the gap between theory and simulation, we will begin with simple inductors and compare simulation results with theory. The course contain several code along sessions with all simulation models built using Python and with the free and open source circuit simulator Python Power Electronics. The final session contains a case study of a flyback converter where besides the theory of operation of the converter, the simulation also covers the high frequency transformer used.