基于RHC-TVLQG-AR算法的舰载机着舰控制

Carrier Based Aircraft Landing Control Based on RHC-TVLQG-AR Algorithm

  • 摘要: 为实现复杂海况和舰尾流干扰条件下的精确着舰控制,本文提出了一种RHC-TVLQG-AR算法,算法根据滚动时域控制的思想,将着舰控制问题转化为滚动时域内的跟踪控制问题。在每一个时间窗口内,基于AR模型对理想着舰点运动进行在线精确预估,并将理想着舰点的预估运动信号加入到飞机在当前时间窗口内的导引律中,然后以求解得到的控制序列中第一个时间步的控制信号作为飞机的控制输入,得到飞机在下一个时间步的状态。此时时间窗口向后移动一个时间步,更新初始状态后,根据上一个时间窗口中的方法对当前时间窗口内的跟踪控制问题再次进行求解。通过时间窗口的一步步后移,最终实现对飞机的精确着舰控制。通过对飞机在不同初始条件和不同海况下的着舰仿真,发现本文算法能够适应复杂海况,实现满足输入约束的精确着舰控制;通过同LQG方法的仿真结果的对比,发现本文算法具有更高的跟踪精度、更快的跟踪速度和更好的灵活性。

     

    Abstract: To achieve precise landing control under complex sea conditions and wake interference, this paper proposes an RHC-TVLQG-AR algorithm. Based on the idea of rolling time-domain control, the algorithm transforms the entire landing control problem into a series of tracking control problems within a rolling time window. In each time window, the ideal landing point motion is accurately estimated online based on the AR model, and the estimated motion signal of the ideal landing point is added to the guidance law of the aircraft in the current time window. Then, the control signal of the first time step in the obtained control sequence is used as the control input of the aircraft to obtain the state of the aircraft in the next time step. At this point, the time window is moved backwards by one time step. After updating the initial state, the tracking control problem within the current time window is solved again using the method from the previous time window. Through the step-by-step movement of the rolling time window, the precise landing control of the aircraft is finally realized. Through the landing simulation of the aircraft under different initial conditions and different sea conditions, it is found that the proposed algorithm can adapt to the complex sea conditions and achieve precise landing control that meets the input constraints. By comparing the simulation results with the LQG method, the algorithm is found to have higher tracking precision, faster tracking speed and greater flexibility.

     

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