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摘要:
为避免飞机滑行时追尾风险并兼顾乘客的舒适性，提出一种基于模型预测控制(MPC)的多目标防撞优化算法。建立向运动学模型，考虑飞机滑行的安全性和乘客的舒适性设计目标函数及约束；以相对速度和间距作为参数，设计变权重函数，将其引入到MPC中，优化安全性权重，利用序列二次规划(SQP)算法对变权重MPC策略进行求解得到期望加速度，并对变权重MPC的稳定性进行分析。通过仿真实验验证所提算法在典型工况下的防撞效果，实验结果表明：所提算法在实现减速防撞的同时，优化了加速度变化幅度，提高了乘客舒适性。
Abstract:This work proposes a multi-objective collision avoidance optimization technique based on model predictive control (MPC) to reduce the probability of rear-end collisions during aircraft taxiing and for passenger comfort. Firstly, the longitudinal kinematic model of the airplane is established. Considering the safety of aircraft taxiing and passenger comfort design objective function and constraints. Secondly, the design of variable weight functions using relative velocity and spacing as parameters. Introducing it into the MPC to optimize security weights. The desired acceleration is obtained by solving the variable weight MPC control strategy using the sequential quadratic programming (SQP) algorithm, and analyzing the stability of variable weight MPCs. Lastly, simulation tests are used to confirm that the proposed algorithm can prevent collisions under two common operating situations The experimental results show that the proposed algorithm is useful in achieving the deceleration collision avoidance, and optimized acceleration change amplitude improves passenger comfort.
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