利用神经网络设计航空发动机全包线最优控制器
The Design of Aero-engine Optimal Controller Suitable for All Flight Envelope with Neural Network Approximator
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摘要: 本文提出一种用神经网络拟合飞行条件、发动机工况与发动机最优控制器参数之间关系, 从而设计适合于全飞行包线范围内发动机最优稳态控制器的方案。该方案可以针对发动机分段线性化模型, 利用成熟的线性控制设计方法设计非线性控制器, 且控制器结构简单、实时性好。仿真结果表明, 所设计的发动机控制系统在整个飞行包线内的设计点及非设计点均具有良好的性能。Abstract: An aero engine optimal control scheme is presented,which is suitable for all points in the engine whole flight envelope with a neural network approximator.Firstly,local controllers are designed according to local linear models around some design points.Then a neural network approximator is trained to imitate the relation between the parameters of local optimal controllers and the flight conditions and the states of the engine.Finally,a global nonlinear controller is obtained with this approximator.In this approach,nonlinear control system can be designed by the use of many mature linear control methods.And the control system has simple structure,is easy of real time realization.The simulation results show that the aero engine control system has excellent characteristics in both design and non design points in whole flight envelope.
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Key words:
- aero engine /
- neual network /
- optimal control
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