Optimization methodology of PID controller parameters for aeroengines based on mixture genetic algorithm

CAO Zhi-song; PIAO Ying

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Optimization methodology of PID controller parameters for aeroengines based on mixture genetic algorithm

更新时间：2026-07-07

- Optimization methodology of PID controller parameters for aeroengines based on mixture genetic algorithm
- Vol. 22, Issue 9, (2007)
- 作者机构：
  
  清华大学航天航空学院,北京,100084
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2007
- 稿件说明：
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CAO Zhi-song, PIAO Ying. Optimization methodology of PID controller parameters for aeroengines based on mixture genetic algorithm[J]. 2007, 22(9).
DOI：

CAO Zhi-song, PIAO Ying. Optimization methodology of PID controller parameters for aeroengines based on mixture genetic algorithm[J]. 2007, 22(9). DOI：

摘要

结合某型航空发动机的比例积分微分控制(PID)参数整定与优化问题

提出了一种全局最优且与初值无关的优化算法.算法采用与单纯形相结合的混合遗传算法

结合了遗传算法良好的全局收敛性和单纯形算法的优秀的局部搜索能力

提高了搜索速度与精度.仿真结果表明这种方法具有较好的收敛性与稳定性.

Abstract

Based on the mathematical model of aeroengine

an optimization methodology of the PID controller parameters with genetic algorithm(GA) was developed.This optimization methodology is a global optimization and has nothing to do with initial values.Mixture genetic algorithm fusing the advantage of steeply convergence and highly precession of simplex algorithm and global convergence of genetic algorithm

is used to improve the searching process and precision.The result shows that the algorithm has good convergence and steadiness.

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CHEN Guo-ding

ZHANG Peng

HUANG Jin-quan

WEI Feng-ting

Related Institution

College of Energy and Power Engineering,Nanjing University of Aeronautics and Astronautics

School of Mechanical Engineering,Northwestern Polytechnical University

Laboratory of Propulsion System, The Engineering Institute, Airforce Engineering University

The Engineering Institute, Air Force Engineering University

The First Aeronautic Institute of the Air Force

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