H ∞ parameter identification and H 2 feedback control synthesizing for inflight aircraft icing

Aircraft icing accident happens frequently. Researchers try to find new ways to solve this problem. The study is facing the direction of intelligent inspection and control system. Previous studies focused on the principle of aircraft icing and its effects on flight performance. The onboard icing detection equipment can only give the qualitative icing information, but cannot effectively describe how serious the consequences would be. If the icing detection equipment fails, it will cause a serious threat to flight safety. This paper reviews the smart icing system and its fundamental principle. Then based on H∞ theory, an aircraft icing parameter identification method is introduced, and its feasibility is verified by simulation results. Moreover, this method can work normally under noise interference and measurement error. Icing parameter identification method can also test part of aircraft’s stability or control derivatives which would be changed obviously after aircraft icing. Classified by neural networks, the stability or control derivatives’ variation can be mapped to ice parameters’ variation that reflects the severity of aircraft icing. Then H2 state feedback control is designed originally to suppress the impact of noise interference, so aircraft can keep steady after it is iced. Seeing from simulation result of the whole system, it is clear that the system can effectively detect icing parameters and by using feedback control system, it can ensure the safety of aircraft in the flight envelope.     

Analysis of motion in longitudinal plane of negative buoyancy vehicle flying fish II

This article describes an experimental prototype flying fish II and builds a dynamic model that is a novel type of autonomous underwater vehicle (AUV) under the condition of negative buoyancy vehicle (NBV) without large buoyancy mechanism. Compared with the AUV Remus100, the flying fish II can cruise with double speeds within the same range and dimensions. The static stability and motion modes of flying fish II in the longitudinal plane are analyzed through the linear system theory. The flying fish II has static stability in the longitudinal plane and the motion mode is related to metacentric height.