Multi-parameter and multi-objective optimization method for air powered engine

Designing of air powered engine concerns the impact on performance optimization by multi-parameter coupling, and it is complicated to establish the comprehensive evaluation function for multiple performance indicators such as ideal power and efficiency. Therefore the orthogonal design was carried out taking injection pressure, several controlling parameters of valve as design variables. The optimal parameter combination for the expected indicators was obtained using grey relation analysis. In accordance with parameter-indicator trends, parameters' ranges were adjusted and through finite calculation loop the best design parameter combination was obtained. The algorithm in which the number of design parameters and performance indicators is multipliable was verified to be fast and effective. A theoretical basis for air powered engine's design and experiment was formed.