基于响应面与遗传算法的柴油机喷射参数优化  

Optimization diesel engine injection parameters by using response surface methodology and genetic algorithm

作　　者：于靖博[1,2] 段树林[1] 

机构地区：[1]大连海事大学轮机工程学院,辽宁大连116026 [2]大连海洋大学机械与动力工程学院,辽宁大连116023

出　　处：《海军工程大学学报》2015年第3期19-22,32,共5页Journal of Naval University of Engineering

基　　金：国家自然科学基金资助项目(51109023);国家科技支撑计划资助项目(2013BAF02B03-2)

摘　　要：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1.96g/(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。In order to seek for a global optimal solution to the parameters optimization of the fuel injection 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 according 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 1.96g/（kW·h）and 21.86 ℃respectively,while the power increases 0.99%.In addition,such an optimization method is characterized by more simplicity,better reliability and higher efficiency.

关 键 词：柴油机 喷射系统 响应面设计 遗传算法 优化匹配 

分 类 号：U664.121[交通运输工程—船舶及航道工程] TK421.2[交通运输工程—船舶与海洋工程]