| 引用本文: | 杨昆,刘振明,周磊,等.采用遗传算法的电控增压器电磁阀优化设计.[J].国防科技大学学报,2019,41(3):56-62.[点击复制] |
| YANG Kun,LIU Zhenming,ZHOU Lei,et al.Optimization design of solenoid valve for electric-controlled pressure amplifier using genetic algorithm[J].Journal of National University of Defense Technology,2019,41(3):56-62[点击复制] |
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| 采用遗传算法的电控增压器电磁阀优化设计 |
| 杨昆, 刘振明, 周磊, 刘楠, 应宇辰 |
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(海军工程大学 动力工程学院， 湖北 武汉 430033)
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| 摘要: |
| 运用Ansoft Maxwell软件建立电磁阀的动态响应特性仿真模型，并通过试验验证模型的准确性。利用模型集成ISIGHT软件的方法，对影响电磁阀动态响应特性的参数进行灵敏度分析，得出各个参数对动态响应特性的Pareto图。基于遗传算法对电磁阀进行多参数优化设计，获取最佳参数组合，并利用电磁阀动态响应特性试验台架，开展参数优化前后电磁阀动态响应特性的对比试验研究。试验结果表明：相比于原参数方案，参数优化后的电磁阀动态响应特性得到大幅度提升，其开启响应时间缩短了59.1%，关闭响应时间缩短了47.2%。 |
| 关键词: 电控增压器 电磁阀 遗传算法 优化 |
| DOI：10.11887/j.cn.201903010 |
| 投稿日期：2018-03-16 |
| 基金项目:国家自然科学基金资助项目(51379212); 国家部委基金资助项目(3020401030301); 海军工程大学博士研究生创新基金资助项目(XYBJ1611) |
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| Optimization design of solenoid valve for electric-controlled pressure amplifier using genetic algorithm |
| YANG Kun, LIU Zhenming, ZHOU Lei, LIU Nan, YING Yuchen |
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(College of Power Engineering， Naval University of Engineering，Wuhan 430033， China)
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| Abstract: |
| The simulation model of dynamic response characteristics of solenoid valve was established based on Ansoft Maxwell software, and the accuracy of it was verified by experiment. The sensitivity analysis of parameters affecting the dynamic response characteristics of solenoid valve was conducted by the method of integrating ISIGHT with the model, the Pareto of parameters on the dynamic response characteristics was obtained. The multi-parameter optimization design of solenoid valve was carried out based on genetic algorithm, the optimum parameter combination was achieved, and the comparison experimental research of dynamic response characteristics of solenoid valve before and after parameter optimization was conducted by the experimental bench. The result shows that compared with the original parameter scheme, the dynamic response characteristics of solenoid valve after parameter optimization are improved greatly, and the opening and closing response time is reduced by 59.1% and 47.2% respectively. |
| Keywords: electric-controlled pressure amplifier solenoid valve genetic algorithm optimization |
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