飞机地面除冰作业协同控制仿真研究

Simulation Research on Cooperative Control for Aircraft Ground Deicing Operation

针对飞机地面除冰作业过程协同性较弱及效率低下的问题,设计一种信息状态一致性的除冰作业协同控制方法。提出两阶段式除冰Agent模型并建立除冰效果最优、除冰时间最短的多目标协同优化模型,采用拉格朗日松弛算法构造最优作业参数可行解。结合除冰工艺及模式研究基于运行拓扑的除冰作业协作图,构建改进一致性的地面除冰协同控制方法。参照实际情况开展仿真验证,结果表明:一致性控制策略能够以最优的除冰效果将作业位置误差保持在1 m内,协同状态稳定在最大振幅范围,且能满足不同模态要求,与自适应和领航者2种控制方法对比精确度最大提升7.44%。

Aiming at the weak cooperation and low efficiency in aircraft ground deicing operation,a cooperative control method for deicing operations is designed based on the consistency of information states.A two-stage deicing Agent model is proposed and a multi-objective collaborative optimization model with the best deicing effect and the shortest deicing time is established.Lagrangian relaxation algorithm is applied to construct a feasible solution for the optimal operating parameters.Combined with the deicing process and mode,the cooperative graph of deicing operation is studied based on the operating topology,and the cooperative control method of ground deicing is constructed based on improved consistency is constructed,and the simulation verification is carried out according to the actual situation.The result shows that the consistency control policy can keep the operating position error within 1 m,the coordination ability is stable in the maximum amplitude range,and the requirements of different modes can be meet.The average accuracy is improved by up to 7.44% compared with the two control methods of adaptive and navigator.