Research On Inertial Network System Data Fusion For Wings Flexing Estimation

Advanced aircrafts require continuous, reliable and acute inertial information. Particularly in aircraft structural deformation of the environment, the estimation of the deformation can improve dynamic alignment accuracy of airborne subsystem such as weapons systems, targeting systems, thereby improving overall system performance. This article is based on advanced aircraft more dependent on the inertial navigation information, Taking account of the structural bending, we study the data fusion algorithms for inertial network systems to estimate the wing flexure.Considering the structural flexing of the wing on the adverse effects of precision, systematic and comprehensive study of the inertial range of related technologies and network data fusion methodologies .The main contents include:Firstly, we study the composition of the inertia network, features and general design patterns, and summarize the attitude algorithm. Considering the master node as reference node, the stationary inertial sensing model and the dynamic inertial sensing model are given, and the wing flexure model established.Secondly, starting from the error propagation mechanism, detailed derivation of the sins of the error propagation equation is researched. The modeling errors of inertial measurement device, differential GPS, magnetic navigation apparatus, airborne air data systems are studied as well as the GPS attitude measurement technology in inertial network system.Thirdly, on the basis of data fusion theory, we research, and summarize the multi-sensor data fusion structure and algorithm for aircraft navigation system. The distributed fusion algorithm for the low-cost inertial network is as follows: simulation of the federal Kalman filtering algorithms is done at the main nodes; at the slave nodes, the wing deformation is included in the equation of state filter taking the transfer alignment for pairs of nodes in real time deformation measurement as a reference. Simulation results show that the inertial network system data fusion method can overcome the adverse effects of deformation of the wings.Finally, we structure the inertial network simulation system, the effect the different grades of inertial sensors and inertial different fusion cycle on network data fusion have been simulated. Designed by the function module, simulation system possesses great extension, providing the basic simulation platform for further research on the inertial network system.