高超音速飞机鲁棒自适应控制的研究

Research on Robust Adaptive Control for Hypersonic Vehicle

由于高超音速飞机自身特有的结构以及飞行时所处的复杂条件,其高度非线性的数学模型往往很难获知,即便是建立的某种数学模型也是极为不准确的,因此许多传统的控制方法已经不再适用。所提出来的高超音速飞机鲁棒自适应控制,依靠在线调参的单隐层神经元来逼近其不确定的数学模型,使得整个控制过程对模型的依赖程度大大降低,除此之外,该控制方法还具有非线性解耦的能力,最后通过对某种高超音速飞机的仿真分析,验证了该方法的控制效用及强鲁棒性能。

Because of hypersonic vehicle＇s peculiar structure and complex flight condition, its high nonlinear mathematical model is nearly impossible to be learnt, even if some mathematical models established are also inaccurate, therefore a lot of traditional control methods can not be applicable. This paper presents robust adaptive control for hypersonic vehicle, which relies on one hidden layer neuron adjusting parameters online in order to approach its uncertain mathematical model. As a result, the dependence of model is decreased greatly in the controlling process. In addition, this control method also has the non-linear decoupling ability. Finally, the simulation and analysis for hypersonic vehicle validate this control method＇ s effectiveness and strong robustness.