火箭技术

基于遗传算法的航空发动机模糊优化控制

  • 张世英 ,
  • 胡宇 ,
  • 朱杰堂
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  • 第二炮兵工程学院,西安 710025

张世英(1962-),男,陕西西安人,教授,研究方向:航空动力系统故障诊断与检测。

收稿日期: 2009-06-06

  网络出版日期: 2025-05-28

Optimization of Aeroengine Fuzzy Control Based on Genetic Algorithm

  • ZHANG Shiying ,
  • HU Yu ,
  • ZHU Jietang
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  • The Second Artillery Engineering College, Xi'an 710025, China

Received date: 2009-06-06

  Online published: 2025-05-28

摘要

为适应航空发动机非线性的控制要求,采用基于多个修正因子的模糊控制方法对航空发动机的控制器进行设计,利用改进的遗传算法对模糊控制器的多个修正因子进行参数优化,并对航空发动机数学模型进行仿真试验。从仿真的结果看,改进遗传算法的收敛性比较强,收敛速度快;仿真优化后的修正因子取值在满足一定范围时,控制系统能达到比较好的控制效果。基于遗传算法参数优化的模糊控制器表现出比较好的控制性能。

本文引用格式

张世英 , 胡宇 , 朱杰堂 . 基于遗传算法的航空发动机模糊优化控制[J]. 弹箭与制导学报, 2010 , 30(2) : 167 -170 . DOI: 10.15892/j.cnki.djzdxb.2010.02.074

Abstract

A fuzzy control method based on correction factors was applied to the design of the controller of aeroengine to achieve nonlinear control of aeroengine. Parameter optimization of correction factors was done in fuzzy controller using improved genetic algorithm and simulation on mathematic model of certain functional state of aeroengine was accomplished. The result of simulation indicates that the improved genetic algorithm has a property of strong and quick convergence. The values of correction factors with parameter optimization are in certain spans, and good control performance is obtained in the control system. The controller design method is effective.

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