Optimal design method for low-speed magnetic gear of high-power wind-electromagnetic gearbox

Abstract

The invention relates to an optimal design method for a low-speed magnetic gear of a high-power wind power electromagnetic gearbox, and belongs to the field of wind power. The low-speed magnetic gear comprises an inner rotor magnetic gear, an outer rotor magnetic gear and a magnetism adjusting ring; thickness hin and hout of inner and outer rotor permanent magnets, thickness hs, central angle theta s and axial length Lef are selected as design variables to be optimized, torque density eta and output torque pulsation Trip of the permanent magnets of the low-speed magnetic gear are taken as optimization targets, hin, hout, hs and theta s are taken as priority design variables based on CCD experiments, a quadratic regression model of the optimization targets and the priority design variables is established, an optimization design problem is converted into a multi-objective nonlinear programming problem, and a group of optimal priority design variables are obtained by adopting an NSGA-II algorithm; therefore, the optimal axial length Lef is determined, so that the eta and the Trip are optimal. The method can be used to reduce the frequency of finite element experiments, greatly improve the design efficiency, and achieve the purposes of reducing the cost and improving the performance.

Description

technical field [0001] The invention relates to an optimal design method for a low-speed gear of a wind power gearbox, in particular to an optimal design method for a low-speed magnetic gear of a high-power wind electromagnetic gearbox, and belongs to the technical field of wind power generation. Background technique [0002] As one of the key components of doubly-fed wind turbines and semi-direct drive wind turbines, wind power gearboxes play an important role in the power transmission process of wind power systems. However, the existing gearbox uses mechanical gear meshing, which requires a complex oil injection lubrication system, which is large in size, heavy, high in cost, loud in noise, high in failure rate, and requires regular maintenance; once a failure occurs, the maintenance cost is high and the downtime is long. to huge economic losses. [0003] As a new type of transmission, magnetic gear has the advantages of no wear, no maintenance, no noise, no lubrication, ...

AI Technical Summary

Problems solved by technology

In particular, the multi-objective optimization algorithm combining Pareto theory and intelligent optimization algorithm provides a theoretical basis for improving the efficiency of electromechanical system optimization design and developing electromechanical system optimization design technology, but it is rarely used in the optimal design of magnetic gears.

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