A new neural network adaptive control scheme is presented and its applications to aero-engine control system are researched.
本文研究神经网络自适应控制方法及其在航空发动机控制中应用。
Moreover, the network construction was simple and normative, easy to be realized. The simulation result was satisfied for the aero-engine control system with broad working range.
而且该网络结构简单规范，便于实现，对于工作范围宽广的航空发动机控制系统，仿真效果令人满意。
Every module is built, tested and encapsulated into the aero-engine control system module library. Maked use of the module library, the engine system model can be established easily.
将模块封装打包建立涡扇发动机控制系统模型库，并将之组成为完整的发动机及调节器系统综合仿真平台。
A new neural network algorithm with fuzzy logic compensation was proposed and applied to an aero-engine rotating speed control system.
提出了一种带模糊补偿的神经网络辨识器，并应用在某型涡扇发动机转速控制系统中。
In this paper, the optimal PID control system for aero-engine was designed using LQR (Linear-Quadratic Regulator) approach.
本文采用基于LQR的PID控制算法，设计某型号涡扇发动机控制系统。
In the matter - in - loop simulation experiment of aero - engine control system, the turbine outlet temperature, which characteristics with high and quick change , is hard to be simulated.
航空发动机控制系统半物理模拟试验中，涡轮出口气体温度高、变化快，难以模拟。
In this paper, a new variable structure control method, that is, Global variable structure control (GVSC), is introduced to aero engine control system.
针对直接驱动的交流永磁直线伺服系统，提出一种基于神经元补偿控制的全程滑模变结构控制策略。
In this paper, a new variable structure control method, that is, Global variable structure control (GVSC), is introduced to aero engine control system.
针对直接驱动的交流永磁直线伺服系统，提出一种基于神经元补偿控制的全程滑模变结构控制策略。
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