Multi-objective optimization of aeroengine PID control based on multi-objective genetic algorithms

LI Yue; SUN Jian-guo

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Multi-objective optimization of aeroengine PID control based on multi-objective genetic algorithms

更新时间：2026-07-07

- Multi-objective optimization of aeroengine PID control based on multi-objective genetic algorithms
- Vol. 23, Issue 1, (2008)
- 作者机构：
  
  南京航空航天大学能源与动力学院,南京,210016
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2008
- 稿件说明：
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LI Yue, SUN Jian-guo. Multi-objective optimization of aeroengine PID control based on multi-objective genetic algorithms[J]. 2008, 23(1).
DOI：

LI Yue, SUN Jian-guo. Multi-objective optimization of aeroengine PID control based on multi-objective genetic algorithms[J]. 2008, 23(1). DOI：

摘要

提出采用多目标遗传算法

对航空发动机PID控制器参数进行优化设计.使用先进多目标遗传算法NSGA-Ⅱ对航空发动机PID控制器进行参数整定.针对某型航空发动机在飞行包线内的飞行状态进行控制器参数的优化选取

仿真结果表明

与传统手动试凑调节PID控制器参数进行比较

转速阶跃响应过程的性能指标得到了很好的优化

获得了令人满意的优化效果.

Abstract

Multi-objective genetic algorithms were applied to the parameter optimization of aeroengine proportional integral derivative(PID) controller.The PIDcontroller parameters of aeroengine were optimized by multi-objective genetic algorithms NSGA-Ⅱ.In this paper the controller parameters of an aeroengine was optimized

and the simulation results indicate that compared with the traditional optimization method

the speed controller system shows good dynamic and stable performance.The result is satisfactory.

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Related Author

YAO Yan-long

LI Er-sheng

CHEN Guo-ding

CAO Zhi-song

PIAO Ying

TUO Wei

XIONG Jin-song

HOU An-ping

Related Institution

School of Mechanical Engineering,Northwestern Polytechnical University

School of Aerospace, Tsinghua University

National Key Laboratory on Aero-Engines, Beijing University of Aeronautics and Astronautics

南京航空航天大学能源与动力学院江苏省航空动力系统重点实验室

先进航空发动机协同创新中心

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