The invention relates to an aircraft brake control method with neural network disturbance compensation. The aircraft brake control method with the neural network disturbance compensation function comprises the steps that the current brake pressure value of an aircraft is obtained, and a target sliding speed is generated according to the current brake pressure value and runway environment information; acquiring the current speed and the wheel angular speed of the aircraft; the airplane wheel angular speed and the current brake pressure value are input into a radial basis function neural network, brake disc torque disturbance data are estimated through the radial basis function neural network, and a brake disc pressure-torque conversion coefficient is adjusted according to the brake disc torque disturbance data; determining a target brake pressure based on the target slip speed and the brake disc pressure-torque conversion coefficient; and according to the target brake pressure, the airplane wheel angular speed and the airplane deceleration are updated. According to the brake control method and device, disturbance in the pressure-torque conversion coefficient of the brake disc can be compensated in real time, the accuracy of the brake torque is ensured, and therefore the accuracy and reliability of brake control are improved.
本公开涉及一种具有神经网络扰动补偿的飞机刹车控制方法。上述具有神经网络扰动补偿的飞机刹车控制方法包括:获取飞机当前刹车压力值,并根据当前刹车压力值以及跑道环境信息生成目标滑移速度;获取飞机当前速度和机轮角速度;将机轮角速度和当前刹车压力值输入径向基神经网络中,利用径向基神经网络预估刹车盘力矩扰动数据,并根据刹车盘力矩扰动数据调整刹车盘压力‑力矩转换系数;基于目标滑移速度和刹车盘压力‑力矩转换系数确定目标刹车压力;根据目标刹车压力,更新机轮角速度和飞机减速度。本公开能够实时补偿刹车盘压力‑力矩转换系数中的扰动,确保刹车力矩的准确性,从而提高了刹车控制的精准度和可靠性。
Aircraft brake control method with neural network disturbance compensation
一种具有神经网络扰动补偿的飞机刹车控制方法
2024-08-23
Patent
Electronic Resource
Chinese
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