基于GA的航空发动机单神经元自适应解耦控制器设计

推进技术 ›› 2008, Vol. 29 ›› Issue (6): 743-746.

基于GA的航空发动机单神经元自适应解耦控制器设计

彭靖波,谢寿生,马龙

空军工程大学工程学院;空军工程大学工程学院;空军航空大学

发布日期:2021-08-15

A self-adaptive single neural decoupling controller for aeroengine design based on GA

Engineering Inst.,Air Force Engineering Univ,Xi’an 710038,China;Engineering Inst.,Air Force Engineering Univ,Xi’an 710038,China;Air Force Aviation Univ.,Changchun 130000,China

Published:2021-08-15

摘要/Abstract

摘要： 针对航空发动机控制变量间的耦合作用,设计了基于GA优化的单神经元自适应解耦控制器,给出了控制系统的结构及解耦算法。该方法结构简单、易于实现,直接通过对两个通道误差的学习调整权值,实现解耦。仿真表明,在设计点和偏离设计点处,系统均具有良好的动态特性和解耦特性。

关键词: 航空发动机;单神经元;遗传算法+;解耦控制

Abstract: In view of the problem of coupling in aeroengine multivariable control system,a self-adaptive single neural decoupling controller based on genetic algorithm is designed.The structure of control system and principle of decoupling are given.The proposed controller has a simple configuration,updating the weights adaptively learning of two control loops.The simulation results show that the control system has fine performance of dynamic and decoupling capability.

Key words: Aircraft engine;Single neural+;Genetic algorithm+;Decoupling control+

彭靖波,谢寿生,马龙. 基于GA的航空发动机单神经元自适应解耦控制器设计[J]. 推进技术, 2008, 29(6): 743-746.