空天飞行器模糊自适应轨迹线性化控制器设计

Design of a fuzzy adaptive trajectory linearization controller for an aerospace vehicle

针对一类单输入单输出非线性不确定系统,提出了模糊自适应轨迹线性化控制(TLC)方法并应用于空天飞行器(ASV)飞行控制系统设计。利用模糊系统具有以任意精度逼近非线性系统的能力对未知干扰和不确定进行估计,以减小其对系统性能的影响,并通过鲁棒控制项来克服模糊系统的逼近误差。采用Lyapunov方法,证明了闭环系统所有信号一致最终有界。最后利用提出的控制方案设计了空天飞行器飞行控制系统,并在高超声速条件下进行了仿真验证,仿真结果表明了该方法的有效性和鲁棒性。

The authors put forward a fuzzy adaptive Trajectory Linearization Control （TLC） method for a single - input single-output nonlinear uncertain system, and use it in an Aerospace Vehicle （ASV） flight control system. The unknown disturban ing ability, and the influence of ces and uncertainties are estimated nonlinear uncertainties is reduced. by a fuzzy system in virtue of its approach- A robustifying item is used to overcome the approximating error of the fuzzy system. The uniform ultimate boundedness of all signals of the composite dosed - loop system is proved by using Lyapunov theory. Finally, the flight control system of an ASV is designed based on the proposed method. Simulation results demonstrate the effectiveness and robustness of the approach.