Electromagnetic Design and Optimization of the Rim-Driven Propulsor (RDP) for Sustainable Electric Propulsion Systems

This paper explores the electromagnetic design of Rim-Driven Propulsors (RDP), focusing on the rotor-stator configuration, material optimization, and multi-objective design parameters. The study employs surrogate modeling techniques, particularly Support Vector Regression (SVR), to optimize critical design aspects, including torque, efficiency, and thermal performance. Finite Element (FE) simulations are used to generate data for the surrogate models, while Genetic Algorithms (GA) explore the trade-offs among competing objectives. The results demonstrate a significant improvement in system performance, offering a highly efficient and robust solution for modern electric propulsion systems in aerospace applications.