模型预测控制（MPC）在飞机自动着陆系统中的应用

进场着陆是飞行的复杂阶段,虽然仅占整个飞行的2%～3%,却大约有1/3的飞行事故发生在此阶段,而高速喷气式飞机的飞行事故有一半以上是发生在进场着陆阶段。本次仿真的对象是一种具有特殊外形的无人机,对侧向着陆精度要求很高。于是文中采取了预测控制器加经典PID控制器构成了分层控制系统。动态矩阵法的在线优化和反馈校正等特点有效地提高了系统的整体性能。结果表明,这种方法可以有效地提高着陆精度并严格控制接地时的滚转角。

Application of Model Predictive Control on ALS

With the more and more significant position in modern war, control system of the high survival ability, long-endurance UAV is more and more important. Taking a kind of special UAV as plant, this paper mainly discuss how to design an Auto Landing System (ALS) under the rigorous lateral requirements. Model Predictive Control theory is introduced to meet the request of accurately control of some parameters. The simulation result proves that this method is very efficient for auto landing system.