基于T-S模型的无人机模糊控制器

Fuzzy Controller Design for Unmanned Engine Based on T-S Model

针对无人机飞行姿态控制系统的传感器信息时延问题,设计了基于模糊控制理论的解决方案。首先将系统离散化,使时延问题得到简化。然后基于T-S模型,分析得到各时延变量的局部模型隶属度,从而建立T-S全局模糊模型。采用李亚普诺夫方法给出了稳定控制器存在的条件,并采用LMI方法进行求解。最后对控制器的效果进行了仿真验证。

Aiming at the sensor time delay problem of the flight attitude control system of unmanned engine, solution based on fuzzy control theory is design. At first, system discretization, simplify the time delay problem. Then, based on T-S model, analyze the local model membership grade of each delay variable. Thus a T-S global model is set up. Stabilization controller condition using Lyapunov function is given, and progress solving used LMI. At last, the performances of the controllers are proved though simulation.