Automatic generation of sizing static models based on reluctance networks for the optimization of electromagnetic devices

During the presizing of electromagnetic devices, the designer needs fast calculation tools allowing him to make optimizations. Reluctance networks are thus very often used as approximate models: they are easy to interpret and provide very short computing times. However, to set them to equations is a tiresome task and often leads to errors. The paper proposes to automate this task. Starting from a simple and intuitive graphic interface, the model and its partial derivatives are automatically generated. Thus, optimization sizing and sensibility computation can be carried out