基于模糊系统的高超声速飞行器预测控制

Predictive Control of Hypersonic Vehicle Based on Fuzzy System

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。

Hypersonic vehicle are designed to fly in near space, which is hyper-sonic, time-varying and accompanied by significant un- certainties during the whole flying process. In this paper, considering the hypersonic vehicle with time varying parameters over large ranges, the predictive control based on the fuzzy logic is applied to the hypersonic vehicle in order to effectively track height and velocity commands. The detailed design procedure of the fuzzy predictive control system is presented. According to the tracking error, ruler pa- rameters of the fuzzy system are adjusted on-line to approximate the uncertain nonlinear functions of hypersonic vehicle. Based on Lya- punov theory, the adaptive law is derived and it is proven that the overall system is uniformly ultimately bounded. Simulations results show the fine robust performance of the proposed control method, and the designed system have better dynamic and static performances. The proposed control method can be applied to many fields, including trajectory control of near-space vehicle.