Design Optimization of 10 kW High Speed Generator by using Salp Swarm Algorithm

Abstract

- The design of a 10 kW high-speed generator is optimized in this research. The objective is to optimize the design parameters of the high speed generator namely pole body width, pole shoe height, pole shoe width for the responses (pole shoe flux density, pole body flux density, rotor yoke flux density, efficiency, shaft torque, exciting current, exciting current density). Response surface face centered design is used for experimental design and mathematical modelling. Then salp swarm algorithm – which is a recently invented meta-heuristic algorithm – is used for performing the optimization. The experimental data is obtained from ANSYS MAXWELL simulations. The confirmations are also performed by ANSYS MAXWELL. The results show that the SSA is a good optimizer for these types of electric machines.