Full
Outline
Aiming at the problem of large torque ripple during the operation of high-speed motors, this paper starts from the perspective of motor structure optimization, takes key geometric parameters such as stator slot width, permanent magnet thickness, sheath thickness and pole arc coefficient as optimization variables, and aims to minimize torque ripple and maximize average torque as optimization goals, establishing a high-precision mapping model between structural parameters and motor performance. Firstly, the Hodrick-Prescott decomposition method is adopted to separate the trend and periodic components of the torque data in order to extract the key features; Secondly, a BiLSTM deep learning model integrating the cross-attention mechanism is constructed to characterize the nonlinear characteristics of the motor. On this basis, the improved butterfly optimization algorithm is introduced to optimize the model hyperparameters and obtain the optimal combination of structural parameters. Finally, the effectiveness of the proposed method is verified through simulation and experiments. The results show that this method can significantly reduce the torque pulsation of the motor and improve the smoothness and reliability of high-speed motor operation.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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