升力式再入飞行器的先进控制方法研究

为克服升力式再入飞行器现有分段控制方法的缺陷,根据动力学模型,将滑模变结构控制和神经网络动态逆法控制分别用于飞行器再入控制的外环与内环回路。建立了控制模型并进行仿真。理论分析和仿真结果表明,采用该法无需大量的增益调节,能自动适应非线性、强耦合的对象特性,以及环境的剧烈变化,减小不同飞行条件下对气动和结构参数的依赖性,自动补偿不确定因素和扰动,能较好地实现飞行器的再入控制。

Advanced Control Method Research for Lift Reentry Flight

To overcome the disadvantages of the present sectional control method in lift reentry flight,the slid variable structure control and neural network dynamic counter control were used in out-loop and inner-loop for the reentry control respectively according to the dynamic mode in this paper.The control mode was established and the simulation was made.The theoretical analysis and simulation results showed that this control method needed no gain adjustment,which was able to fit the characteristics of nonlinear and coupling and great environment change automatically,decrease the dependence on the aerodynamic and structure parameter under different flying conditions,and compensate the uncertain factors and disturbance automatically.