利用多状态试车数据修正发动机部件特性

杨欣毅; 沈伟; 王文; 王永华; 王星博

利用多状态试车数据修正发动机部件特性

1.
海军航空工程学院飞行器工程系,山东烟台 264001
2.
海军航空工程学院基础试验部,山东烟台 264001
3.
海军航空工程学院研究生大队,山东烟台 264001

基金项目: 国家自然科学基金(青年基金:61102167); 航空科学基金和航空电子系统综合技术国防科技重点实验室联合资助(20095584006)

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出版历程
- 收稿日期: 2012-01-05
- 刊出日期: 2012-08-28

Aero engine component characteristic map correction using multi state test data

1.
Department of Aerocraft Engineering, Naval Aeronautical and Astronautical University,Yantai Shandong 264001,China
2.
Department of Basic Experiment, Naval Aeronautical and Astronautical University,Yantai Shandong 264001,China
3.
Graduate Students' Brigade, Naval Aeronautical and Astronautical University,Yantai Shandong 264001,China

摘要

摘要: 针对经典的航空发动机部件特性修正因子法的不足,提出一种于多状态试车数据的修正方法.利用发动机部件匹配模型方程以及试车参数计算值和实测值的差值组成目标方程组,采用改进的免疫粒子群算法优化求解获得部件特性修正系数.以多个不同状态下的修正系数为基础,利用滑动最小二乘方法拟合修正系数曲面,进而得到修正的部件特性图.数值试验表明:综合利用不同状态下发动机试车数据进行部件特性修正,克服了传统方法的不足.提高了修正部件特性在整个工作范围的精度.
- 航空发动机 /
- 部件特性 /
- 修正 /
- 滑动最小二乘 /
- 粒子群优化
Abstract: In order to improve the accuracy of engine component characteristic map correction with modification factors method,a new correction method using multi state engine test data was presented.Equations from the engine model based on component matching and the difference equations of calculated and test parameters were used as objective equations.In addition,the objective function was optimized using an improved immune particle swarm optimization algorithm.Thus the engine component correction coefficients were obtained.Based on these coefficients of different states,a correction coefficient surface was fitted by moving least square method,and the corrected component map was obtained with the obtained coefficient surface.Simulated results show that because of the use of multi state test data,the proposed new method shows better performance than the traditonal one.The corrected component map has higher accuracy in the whole scope.
- aero engine /
- component characteristics /
- correction /
- moving least square /
- particle swarm optimization

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参考文献(15)

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