摘要
为提高柴油机高速电磁阀的动态响应速度,采用数值模拟与试验相结合的方法,建立了电磁阀的数值仿真模型,通过与试验数据相对比,其吸合响应时间误差为1%,释放响应时间误差为3%,验证了仿真模型的准确性。然后选取了影响电磁阀动态响应特性的5个关键因素,结合最优拉丁方试验设计,建立了其与吸合响应时间、释放响应时间及电磁力之间的Kriging近似模型;同时基于建立的Kriging近似模型构建了电磁阀动态响应多目标优化数学模型,通过NSGA-Ⅱ遗传算法求解得到了Pareto解集,并确定了最终解。结果表明:优化后电磁阀的吸合时间减小了10.1%,释放时间减小了10.4%,其动态响应特性得到了提高,为高速电磁阀的优化设计提供了理论指导。
In order to improve the dynamic response speed of high-speed solerioid valve （ HSV）, a method consis- ting of numerical simulations along with lab experiments is employed. Firstly, the transient numerical simulation model of HSV was established, then its accuracy was verified by experiments that the errors of the closing response time and the opening response time were 1% and 3 % respectively. At the same time, the five key factors that affect the dynamic response characteristics of HSV were selected, and the sample points were found by the Optimal Latin hypercube experimental design for building Kriging models. The Kriging approximate models were built ai- ming at the closing response time, the opening response time and the electromagnetic force. Finally, the dynamic response characteristics of HSV were studied by the multi-objective optimization technique. The Pareto solution was obtained by NSGA,II genetic algorithm, and the final solution was determined. The results show that the dynamic response speed of HS~ is improved, and the closing response time decreases by 10. 1% from 0. 691 ms to 0. 621 ms, the opening response time decreases by 10. 4% from 0. 546 ms to 0. 489 ms. It provides a theoretical basis for the optimization of the structure of HSV.
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2018年第1期53-59,共7页
Journal of Harbin Engineering University
基金
国家自然科学基金项目(51379041
51475100
51679048)
