基于改进布谷鸟搜索的轴向永磁联轴器模糊优化设计

研究了轴向永磁联轴器的结构优化设计。首先根据层模型理论,以轴向永磁联轴器的关键结构参数(气隙长度、铜盘厚度等)为设计变量,以成本最低、输出转矩最大以及涡流损耗最小3个性能为多优化目标,建立了轴向永磁联轴器的数学优化模型;其次是将混沌搜索和自校正权重引入到布谷鸟搜索方法中,提出了一种改进的布谷鸟搜索方法;然后,利用模糊理论将多目标优化问题转换为单目标问题,并运用改进布谷鸟搜索算法优化求解;最后,对结构参数优化后的轴向永磁联轴器性能进行了ANSYS仿真,而且制作样机并进行了试验测试。仿真和试验结果表明:提出的优化结果优于遗传算法和粒子群优化等方法,与标准模型相比,成本降低了9%,转矩提高了15%,涡流损耗减少了10%。

Fuzzy Optimal Design of Axial Permanent Magnet Coupling Based on Improved Cuckoo Search Algorithm

The structural optimization design of axial permanent magnet coupling (APMC) was investigated. Firstly, based on the linear layer model, the mathematical optimization model of APMC was established. The key structural parameters (air gap and thickness of copper disc) of the established model were selected as the design variables. And the lowest cost, the maximum output torque and the minimum eddy current loss were chosen as the optimization goals. Secondly, the chaotic search and self-tuning weights were introduced into the cuckoo search algorithm, and an improved cuckoo search algorithm was proposed. In addition, multi-objective problem was converted into single one by using fuzzy theory, which was solved by using improved cuckoo search algorithm. Finally, the curve of eddy loss along with rotation speed and the curve of output torque along with slip were drawn by using ANSYS simulation, respectively, and the performances of improved APMC were verified. An experimental platform was built to test the prototype, of which the output torque and efficiency under different working conditions were tested. The results showed that the proposed method was superior to the other methods, making the cost and eddy current loss decrease by 9% and 10%, respectively, and the output torque increase by 15%. The expected results were derived, which indicated that the proposed optimization method had high precision and strong engineering practicability. The method provides a feasible preliminary design for axial permanent magnet coupling, and can be applied to the field of other electromagnetic devices.