Optimization Design of Elastic Coupling in Swashplate Engine Based on BP-GA

Abstract:

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 shafting 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 optimal resolution can be searched rapidly and correctly with the method, besides, the method is precise, convenient and applicable.

• Periodical: Applied Mechanics and Materials (Volumes 29-32)
• Pages: 2380-2385
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.29-32.2380
• Online since: August 2010
• Authors: Yan Feng Kong, Zhen Shan Zhang, Guang Tao Cheng
• Keywords: Elastic Coupling BP Neural Network, Genetic Algorithm (GA), Swashplate Engine

References

[1] Li Dongmei, Wang Shuzong, wu zhaohui. Dynamic analysis of wobble plate engine restricted by elastic straight groove mechanism[J]. Journal of naval university of engineering, 2003, 15(1): 9-13.

[2] Lian Yongqing, Wong Shuzong , Ma Shijie, et al. Dynamic simulation of the air-powered swashplate engine[J]. Chinese journal of mechanical engineering, 2008, 44(1): 243-248.

DOI: 10.3901/jme.2008.01.243

[3] Koushan K. Automatic hull from optimization towards lower resistence and wash using artificial intelligence[C]. Proceedings of FAST2003 , 7th International Conference on Fast Seat Transportation. Ischia, Italy, (2003).

[4] Lu Jinling, Xi Gguang, Deng Datong. Blade optimization of mixed- flow pump using inverse design Method and neural network[J] Journal of xi'an university of traffic, 2004, 38(3): 308-312.

[5] Wang Wei, Yang Wei, Zhao Yingmei, et al. Optimization design of aerofoil structure based on neural network and hybridization algorithm[J]. Journal of machine design, 2007, 24(8): 49-50.