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高超声速飞行器跨临近空间飞行,具有高超声速、参数时变等特征。本文针对具有大范围时变参数的高超声速飞行器,为使其能有效地跟踪飞行器的高度和速度指令,将基于模糊系统的预测控制应用于高超声速飞行器的轨迹控制中,给出了详尽的设计方法。根据系统的跟踪误差在线调整模糊系统的权值,使其一致逼近高超声速飞行器模型中的未知非线性函数,基于李亚普诺夫原理,推导了规则参数调整的自适应律。仿真结果表明该算法对系统的不确定性有较强的鲁棒性,使高超声速飞行器控制系统具有较好的动态与静态品质,可应用于临近空间飞行器轨迹控制等领域。
Hovercraft flying in near space, with hypersonic, time-varying parameters and other characteristics. In this paper, a hypersonic vehicle with a large range of time-varying parameters is used in the trajectory control of hypersonic vehicles in order to effectively track the height and speed of the aircraft and to apply the predictive control based on fuzzy systems to the trajectory control of the hypersonic vehicle. method. According to the tracking error of the system, the weight of the fuzzy system is adjusted online to approximate the unknown nonlinear function in the hypersonic vehicle model. Based on the Lyapunov principle, the adaptive law of rule parameter adjustment is deduced. The simulation results show that the proposed algorithm is robust to the uncertainty of the system and makes the hypersonic vehicle control system have good dynamic and static quality and can be applied in the field of near space vehicle trajectory control.