摘要
为了提高气动发动机的动力性和经济性,根据热力学定律建立了2级气动发动机模型,利用AMESim软件搭建仿真平台并采用NLPQL算法对模型参数进行了优化,探究配气相位相关参数对发动机性能指标的影响。优化结果表明:发动机动力提升了14.5%,经济性提高了8.7%。
In order to improve dynamic property and economic performance of pneumatic engine, amodel of two-stage expansion pneumatic engine was established based on thermodynamic, and the plat-form was established by using Amesim. The model parameters were optimized by NLPQL algorithm tostudy the influence of valve timing parameters on the system. The optimization results show that the en-gine power has increased by 14.5% and the economy has increased by 8.7%.
引文
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