基于神经网络与遗传算法的斜盘发动机弹性联轴器优化设计
Aiming at the fact that the current method of designing elastic coupling in swashplate engine is deficient,and the vibration damping effect is inadequate,a new method for optimization design of coupling is put forward based on back propagation artificial neural network and genetic algorithm（BP-GA）.F...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Transmission
2011-01-01
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| Series: | Jixie chuandong |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2011.08.004 |
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| Summary: | Aiming at the fact that the current method of designing elastic coupling in swashplate engine is deficient,and the vibration damping effect is inadequate,a new method for optimization design of coupling is put forward based on back propagation artificial neural network and genetic algorithm（BP-GA）.Firstly the dynamics model of swashplate engine axis is set up,and the samples are gained by numerical simulation,then the non-linear mapping relationship of elastic coupling designed parameters of the objective function is established with BP neural network,finally the trained network is called back by GA to make global optimization.The optimization results show that the global optimum resolution can be searched rapidly and correctly with the method,besides,the method is precise,convenient and applicable. |
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| ISSN: | 1004-2539 |