基于模糊滑模控制的CAV再入标准轨迹制导

针对标准轨迹制导对状态初值过于敏感以及鲁棒性较差的问题,在模糊滑模控制的基础上,提出了一种新的标准轨迹制导方式.通过滑模控制的鲁棒性来提升制导方法的适应能力,利用模糊系统的万能逼近特性来对不确定因素进行逼近,从而实现对不确定项的准确估计.对隶属度函数的建立原则进行了分析,结合再入特点建立了模糊滑模纵向制导方案,仿真结果验证了模糊逼近与状态反馈总控制律的有效性,在此基础上设计了侧向制导律.仿真结果表明:该方法能够在保证精度的同时提高标准轨迹制导的鲁棒性,使计算过程大大简化.

Standard trajectory guidance for CAV reentry based on fuzzy sliding mode control

For the question that the standard trajectory guidance was too sensitive to initial value of state and robustness was worse, a new standard trajectory guidance method based on the fuzzy sliding mode control was proposed. The robustness of sliding mode control was used to improve the adaptive capacity of guidance method, in order to definitely estimate the uncertain factors, the universal approximation property of fuzzy system was used to approach uncertain factors. Through analyzing the determinate principle of membership function combined with the characteristics of reentry process, the longitudinal guidance law was established, the simulation results validate that the master control law combined fuzzy approximation with state feedback is effective. And the lateral guidance law was designed based on the scheme mentioned before. Numerical simulation results show that this method can not only ensure a high precision but also improve the robustness of standard trajectory guidance law, and simplify the calculation process greatly.