基于T-S模糊逻辑推理的DFS预测控制方法的研究

DFS Forecast Control Based on Takagi-sugeno Fuzzy Logical Ratiocination

高载荷飞行仿真中载人离心机本身的转动惯量较大,在飞行高过载状态离心机的延时控制成为控制系统要解决的主要问题之一。针对这一问题,通过基于T-S模糊逻辑推理建立DFS系统高载荷飞行阶段的模糊规则,经对相关操纵输入量的模糊聚类辨识,在采样点附近采用广义预测控制方法得到当前控制规律,从而实现对飞行仿真的预测控制。仿真试验表明了该方法的科技较好的调节控制规律。

Because the moment of inertia of the centrifuge is quite big, a problem for driving control at big moment of inertia arises： the influence of time delay of centrifuge enlarged. Dynamic Flight Simulation （DFS） system＇s high-G flight moment fuzzy rules based on Takagi-Sugeno fuzzy logic was proposed, By fuzzy classical analysis for Multi-Operating input value, the control principle was gained using generalized predictive control （GPC） in the neighborhood of sampling point. This method＇s effect is proved by simulation experimentation.