Optimal Design of a Magnetic Levitation Flywheel Rotor Structure Based on a PSO-GA Algorithm
Shi Xiao, Zhiqiang Zhang, Xin Li, Zhixiong ZhangIntroduction:
This study aims to address the problems of low energy storage density and insufficient structural reliability in magnetic levitation flywheel rotors, which are critical for enhancing power grid stability and power supply quality in physical energy storage systems.
Methods:
To address the low energy storage density in magnetic-levitation flywheel rotors, a collaborative optimization method based on a PSO-GA two-layer hybrid strategy was proposed. This method uses the outer PSO to adaptively tune the hyperparameters of the inner GA, which performs size-feature optimization. The method takes the thickness and interlayer interference of the threelayer composite material as design variables, and the geometric size constraints, interference assembly requirements, and the Tsai-Hill strength failure criterion as constraints. The optimization model is constructed to maximize the energy storage density. Finally, the effectiveness of the optimization results was verified through finite element analysis and rotor dynamics simulation.
Results:
After 300 iterations of PSO-GA, the rotor energy storage density increased by 11.28% and the total energy output by 21.15%. At the rated speed of 38,000 rpm, both the maximum stress and the critical speed margin remained within safety limits.
Discussion:
These improvements validate the effectiveness of the hybrid algorithm for high-speed rotor design. The satisfaction of stress and critical speed constraints under rated conditions confirms reliability, offering a practical reference for future energy storage rotor optimization.
Conclusion:
This method provides a theoretical basis and engineering application data reference for the optimized design of high-efficiency flywheel energy storage.