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所属单位：自动化学院
发表刊物：2017 CHINESE AUTOMATION CONGRESS (CAC)
关键字：Multirotor UAV Aerodynamic Model Aided Navigation Federated Kalman Filter Fault Detection
摘要：At present, the integrated navigation system used by multirotor Unmanned Aerial Vehicles (UAVs) is heavily dependent on the GPS when flying outdoors. However, signal block, interference and other factors will lead to the GPS failure, in which case the UAVs' navigation error will quickly diverge. In this paper, an aerodynamic model / INS (Inertial Navigation System) / GPS failure-tolerant navigation method for multirotor UAVs based on FKF (Federated Kalman Filter) is proposed. The FKF is constructed based on aerodynamic model, INS and GPS. The aerodynamic model can be used to estimate the velocity of multirotor UAVs. And the fault of FKF is detected by the chi-square test. During the GPS outages, the sub-filter including the GPS is isolated. And when the aerodynamic model has faults, the sub-filter including the aerodynamic model is isolated. The experimental results show that the proposed failure-tolerant navigation method can effectively improve the navigation accuracy and reliability of the multirotor UAV while there is a fault.
是否译文：否
发表时间：2017-01-01
合写作者：Bao, Sheng,Chen, Zang,Lyu, Pin,Chen, Wenjing
通讯作者：Bao, Sheng,赖际舟