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防滑刹车直接决定了飞机刹车的安全性、高效性以及舒适性。鉴于目前防滑刹车系统存在控制率不足的问题,通过分析飞机着陆过程,建立了飞机全电刹车系统的非线性模型,针对防滑控制往复性特点引入迭代学习算法,利用PD型学习率对不同速度及路面条件进行分组训练,建立最佳滑移率与速度、路面条件关系的知识库,设计出能够在线辨识不同路面条件的前馈控制知识系统,利用反馈补偿控制机制实现了系统的抗扰动性;通过Matlab仿真证明了该控制方法的优越性:能够保持最佳滑移率,缩短刹车距离,实现了平稳刹车。
Anti-skid braking directly determines the safety of the aircraft brake, efficiency and comfort. In view of the problem of insufficient controllability of the anti-skid braking system, a nonlinear model of the full electric brake system of the aircraft is established by analyzing the landing process of the aircraft. An iterative learning algorithm is introduced for the reciprocating characteristics of the anti-skid control. By using the PD learning rate, The paper builds a knowledge base of the relationship between optimal slip rate and speed and road conditions, designs a feedforward control knowledge system that can identify different road conditions online, and realizes the anti-disturbance of the system by using feedback compensation control mechanism. The superiority of the control method is proved by Matlab simulation: it can maintain the best slip rate, shorten the braking distance and achieve a smooth braking.