多目标遗传算法在航空发动机传感器中的稳态分析  

Steady-State Analysis of Multi-Objective Genetic Algorithm in Aeroengine Sensor

作　　者：刘钊勇[1] 张艺婷[2] 李源彬[3] LIU Zhaoyong;ZHANG Yiting;LI Yuanbin(School of Digital Economics,Sichuan Vocational College of Chemical Industry,Luzhou Sichuan 646300,China;Basic Teaching Department,Sichuan Vocational College of Chemical Industry,Luzhou Sichuan 646300,China;School of Information Engineering,Sichuan Agricultural University,Ya’an Sichuan 625014,China)

机构地区：[1]四川化工职业技术学院数字经济学院,四川泸州646300 [2]四川化工职业技术学院基础教学部,四川泸州646300 [3]四川农业大学信息工程学院,四川雅安625014

出　　处：《传感技术学报》2023年第1期118-123,共6页Chinese Journal of Sensors and Actuators

基　　金：国家自然科学基金资助项目(60373110,60573130,60502011);四川省科技计划项目(21ZDYF3575);教育部新世纪优秀人才计划资助项目(NCET-04-0870);四川省应用基础研究计划资助项目(05JY029-021-1)。

摘　　要：为了实现对航空发动机传感器稳态性能参数的精准估计,达到精准仿真分析航空发动机传感器稳态特性的目的,研究基于多目标遗传算法的航空发动机传感器稳态特性仿真分析模型。构建航空发动机传感器稳态特性数学仿真分析模型,运用多目标遗传算法经选择操作、交叉操作、变异操作及个体适应度函数值求取,选出最优组合参数,完成对所构建仿真分析模型的修正,获得修正仿真分析模型,完成稳态特性仿真分析。实验结果表明,该模型修正过程收敛速度高,具有较高的航空发动机传感器稳态性能参数估计精度,针对不同稳态工况下的航空发动机传感器性能参数运算误差始终低于2%,具有稳定且精准的稳态特性仿真分析性能。In order to realize the accurate estimation of the steady-state performance parameters of the aero-engine sensor and to achieve the purpose of accurate simulation and analysis of the steady-state characteristics of the aero-engine sensor,the simulation analysis model of the steady-state characteristics of aero-engine sensor based on multi-objective genetic algorithm is studied.The mathematical simulation analysis model of the steady-state characteristics of the aero-engine sensor is constructed,and the optimal combination parameters are determined by using the multi-objective genetic algorithm through selection operation,crossover operation,mutation operation and individual fitness function value.The modification of the simulation analysis model is completed,the modified simulation analysis model is obtained,and the simulation analysis of steady-state characteristics is completed.The experimental results show that the model correction process has high convergence speed and high operation accuracy for the estimation of aero-engine sensor steady-state performance parameters,and the estimation errors of aero-engine sensor parameters under different steady-state operating conditions are always less than 2%.Its performance on the steady-state characteristic simulation and analysis is stable and accurate.

关 键 词：遗传算法 多目标 发动机 稳态特性 模型修正 

分 类 号：V434[航空宇航科学与技术—航空宇航推进理论与工程]