基于改进NSGA-Ⅱ算法的安全阀动态特性分析及优化

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摘要针对安全阀动态性能缺乏高精度预测模型和优化方法的问题，提出一种考虑阻尼因素及气体扩散因素的动态响应系统模型和基于改进NSGA-Ⅱ算法的优化方法。通过安全阀动态响应系统模型建立仿真模型，对安全阀进行启闭过程动态特性仿真，与动态特性试验结果对比，验证动态响应系统模型的精确性；在NSGA-Ⅱ算法中引入一种权重向量设置方法和自适应变异算子，对安全阀结构参数进行多目标优化。优化后安全阀动态特性评价指标响应时间、振动幅值和稳定值与优化前相比分别缩短5.95%、减小68.29%和减小1.98%。结果表明优化方法可提升安全阀动态性能。

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	李树勋1
	2
	连超1
	2
	潘伟亮3
	侯建军1
	2
	王志辉1
	2
	刘金伟1
	2

关键词 ：安全阀, 动态特性, 动态响应系统, 响应面法, 多目标优化

Abstract：Aiming at the lack of high-precision prediction models and optimization methods for the dynamic performance of safety valves, a dynamic response system model considering damping factors and gas diffusion factors and an optimization method based on the improved NSGA-Ⅱ algorithm are proposed. The simulation model is established through the dynamic response system model of the safety valve, and the dynamic characteristics of the opening and closing process of the safety valve are simulated. Compared with the dynamic characteristics test results, the accuracy of the dynamic response system model is verified; a weight vector setting is introduced into the NSGA-II algorithm. method and self-adaptive mutation operator for multi-objective optimization of safety valve structural parameters. After optimization, the response time, vibration amplitude and stability value of the evaluation indexes of the dynamic characteristics of the safety valve are shortened by 5.95%, 68.29% and 1.98% respectively compared with those before optimization. The results show that the optimization method can improve the dynamic performance of the safety valve.

Key words： safety valve dynamic characteristics dynamic response system response surface method multi-objective optimization

收稿日期: 2022-04-27 出版日期: 2023-07-15

引用本文:

李树勋1,2，连超1,2，潘伟亮3，侯建军1,2，王志辉1,2，刘金伟1,2. 基于改进NSGA-Ⅱ算法的安全阀动态特性分析及优化[J]. 振动与冲击, 2023, 42(13): 66-74.
LI Shuxun1,2, LIAN Chao1,2, PAN Weiliang3, HOU Jianjun1,2, WANG Zhihui1,2, LIU Jinwei1,2. Dynamic characteristics analysis and optimization of safety valve based on improved NSGA-Ⅱ algorithm. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(13): 66-74.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2023/V42/I13/66

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