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基于SVR-PSO改进算法的航空发动机稳定性控制

王磊 谢寿生 蒋爱武 苗卓广 翟旭升

王磊, 谢寿生, 蒋爱武, 苗卓广, 翟旭升. 基于SVR-PSO改进算法的航空发动机稳定性控制[J]. 航空动力学报, 2012, 27(2): 438-444.
引用本文: 王磊, 谢寿生, 蒋爱武, 苗卓广, 翟旭升. 基于SVR-PSO改进算法的航空发动机稳定性控制[J]. 航空动力学报, 2012, 27(2): 438-444.
WANG Lei, XIE Shou-sheng, JIANG Ai-wu, MIAO Zhuo-guang, ZHAI Xu-sheng. Aero-engine stability seeking control based on improved SVR-PSO[J]. Journal of Aerospace Power, 2012, 27(2): 438-444.
Citation: WANG Lei, XIE Shou-sheng, JIANG Ai-wu, MIAO Zhuo-guang, ZHAI Xu-sheng. Aero-engine stability seeking control based on improved SVR-PSO[J]. Journal of Aerospace Power, 2012, 27(2): 438-444.

基于SVR-PSO改进算法的航空发动机稳定性控制

Aero-engine stability seeking control based on improved SVR-PSO

  • 摘要: 在多变量发动机寻优控制中,用支持向量回归算法(SVR)对粒子群优化算法(PSO)进行改进可以有效避免局部最优解的出现.将改进算法应用于航空发动机实时稳定性控制,根据发动机仿真计算程序计算出发动机在各工作点处的稳定裕度,根据控制参数的变化域进行全局寻优,寻找满足压缩系统稳定裕度最小的工作点.仿真和分析表明:该算法实时性高,收敛速度快,具有较强的全局寻优能力,能在保证发动机稳定裕度最小的同时有效降低涡轮前温度和耗油率.

     

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出版历程
  • 收稿日期:  2011-03-12
  • 修回日期:  2011-09-01
  • 刊出日期:  2012-02-28

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