基于GA的航空发动机单神经元自适应解耦控制器设计

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

关键词:  航空发动机  单神经元  遗传算法+  解耦控制

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

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。

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.