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.