具有自修复功能自适应飞行控制系统仿真研究

Study of Setting up Simulation Platform of Self-adaptive Flight Control System with Self-repair Function

研究具有自修复功能的推力矢量飞机自适应控制系统功能及其结构,采用RHO(Receding Horizon Optimal)优化控制算法设计在线控制系统,利用MSLS(Multi-step Least Squares)辨识算法实现在线飞行参数辨识,采用等价空间算法、传感器信息融合技术和概率统计理论实现FDI算法。并且采用面向对象技术语言VC++2010与三维图形语言Open GL结合开发了仿真平台,利用仿真平台对存在舵面故障情况下的系统自修复功能进行验证仿真,结果显示系统对飞行过程中发生舵面损伤后气动参数变化具有良好适应性,同时该仿真平台可以根据需求进行飞机故障加载,具备完备的自适应控制系统仿真功能。

The frame and characteristic of self-adaptive flight control system with self-repair function for aircraft with thrust vector were studied. RHO optimal algorithm was used to realize online controller design. MSLS algorithm was used to realize online flight identify parameters. Global parity space method, sensor data fusion and probability theory were used to realize FDI algorithm. The simulation platform used to simulate self-repair function with aircraft control surface failure was developed using OOP language VC++6.0 and three-dimensional graphics language Open GL. Simulations show that the control surface and flight aerodynamic parameter change with flying states in the flight movement simulation. In this platform, the faults of the flight can be loaded to the flight system according to user's need, and has fine self-repair function.