CAJ | 학술논문

为解决燃油喷射系统参数优化中高效寻求全局最优解问题，综合响应面设计和遗传算法的优点和不足，采用多项式响应面模型代替原始遗传算法中计算量庞大的目标特性分析模型，建立了多项式响应面模型和遗传算法相结合的参数优化方法。结合非线性规划的凸性分析证明了遗传算法在预定优化区间内全局最优解的唯一性。对优化匹配后的喷射参数进行了模拟计算，结果表明：优化后柴油机油耗降低了1．96 g／（kW·h），功率上升了0．99％，排气温度降低了21．86℃。表明该方法具有简单可靠、优化效率高等特点。
위해결연유분사계통삼수우화중고효심구전국최우해문제，종합향응면설계화유전산법적우점화불족，채용다항식향응면모형대체원시유전산법중계산량방대적목표특성분석모형，건립료다항식향응면모형화유전산법상결합적삼수우화방법。결합비선성규화적철성분석증명료유전산법재예정우화구간내전국최우해적유일성。대우화필배후적분사삼수진행료모의계산，결과표명：우화후시유궤유모강저료1．96 g／（kW·h），공솔상승료0．99％，배기온도강저료21．86℃。표명해방법구유간단가고、우화효솔고등특점。
In order to seek for a global optimal solution to the parameters optimization of the fuel in-jection system,the multi-parameter optimization of the diesel engine injecting parameters is conducted by use of the response surface design and genetic algorithm.The optimized target is designed accor-ding to the response surface approximation model which is optimized by the genetic algorithm.Also, the optimal solution for global optimization in a predetermined interval is proved to be unique by the convexity analysis of nonlinear programming.The modeling results of optimized scheme show that the combination of response surface design and genetic algorithm is suitable for optimizing combustion. The fuel consumption ratio and exhaust temperature decreases 1.96 g/(kW·h)and 21.86 ℃ respec-tively,while the power increases 0.99% .In addition,such an optimization method is characterized by more simplicity,better reliability and higher efficiency.