OPTIMIZATION OF AXIAL FLUX PERMANENT MAGNET GENERATOR FOR LOW – SPEED WIND TURBINE APPLICATIONS USING GENETIC ALGORITHM

The design of AFPM machine is optimised by genetic algorithm-based sizing equation and finite element analysis. The design objectives of this machine are maximum power density, maximum Efficiency, minimising cost, size and volume. In my research work clear design methodology based on GA and FEA is developed for the double-sided coreless AFPMG. The GA is used as an optimisation tool to minimise the machine size considering practical limitations and various parameters such as winding turns, winding coefficient, electrical loading, air-gap length, diameter ratio and air-gap flux density. In order to verify the design, 1 kW, three-phase, 50 Hz, 20 pole synchronous machine is simulated in Ansys software. It is evident from the simulation results that the optimised machine exhibits high-power density, maximum Efficiency, minimising cost, size and volume.