Dragon Fly Optimization Driven Design and Voltage Regulation Analysis of Axial-Flux PMSG for Improved Electromagnetic Performance

Axial-Flux Permanent Magnet Synchronous Generators (AF-PMSGs) are becoming more popular because of their compact design, high efficiency, and suitability for distributed energy systems. This generator has performance problems, such as high cogging torque, torque ripple, and inadequate voltage regulation, despite its advantages. The design and voltage regulation analysis of an AF-PMSG integrated with an optimised shaped permanent magnet (PM) structure are suggested in this research as a solution to these challenges. The Dragonfly Optimisation Algorithm (DFOA) simulates the static and dynamic swarming activity of dragonflies in order to optimize global optimal design parameters. Reduced cogging torque and torque ripple, improved back electromotive force (EMF) waveform quality, reduced voltage Total Harmonic Distortion (VTHD) along with higher output torque, flux density distribution, power factor, and output power are the crucial performance attributes that the method improves. 3D Finite Element Analysis (3D-FEA) is used to analyses and validate the optimised AF-PMSG model and verify that electromagnetic performance forecasts are accurate. In terms of voltage control and operating efficiency, the DFOA-optimized design performs better than conventional configurations, according to comparative studies. For improving the electromagnetic and voltage control characteristics of AF-PMSGs and make them more reliable and effective for contemporary renewable energy applications.