关键词: 飞机-发动机一体化, 神经网络, 自适应控制, 喘振裕度, 数字仿真

Abstract:

An adaptive neural network control strategy is proposed for integrated flight/propulsion systems. In order to improve the performance of the flight/propulsion system, additional thrust is obtained by uptrimming the engine pressure ratio in some operation conditions and in part of the flight envelope where an excess surge margin exists. Using the decentralized control concepts, the integrated system consists of 5 controllers: rotor speed controller, high compressor surge margin controller, turbine exhaust temperature controller, pitch angle controller and altitude controller. Each subsystem is designed using adaptive control with neural network compensation. The stability of the system is guaranteed by the proposed parameter and weight turning law. Simulation results show that the flight acceleration and climb performances are improved using the proposed control.

Key words: integrated flight/propulsion control, neural networks, adaptive control, surgemargin, numericalsimulation