飞机动力模拟系统的模糊神经网络控制研究

讨论了一种基于电液速度伺服系统的飞机动力地面模拟系统的计算机控制结构，研究了该地面模拟系统的性能。建立了相应的数学模型，提出了新的模糊神经网络控制策略，该策略提出新的综合目标函数和权值修正方法，是传统PID控制思想和方法在智能控制器的延伸。实验表明，本文提出了并建立的数学模型合理，采用的控制策略可以大幅度地提高系统性能。

Research on Fuzzy Neural Network Control of Aeroplane Engine Simulation System

This paper discusses a computer control structure about an aeroplane engine simulation system based on elector-hydraulic speed servo system. The performance of this system is studied, the corresponding mathematics model is constituted, and a new fuzzy neural network control strategy is proposed. A new integrate object function and a new method of correcting the weight values are put forward in this strategy. And the strategy extends the traditional control thoughtway of PID. The rationality of the mathematics model and the control strategy are shown by experiments.