03.4 - Applied Aerodynamics
SPARSE RECONSTRUCTION OF SURFACE LOADS ON AIRCRAFT USING POD AND RBFNN
X. Jia¹, C. Gong¹, C. Li¹; ¹Northwestern Polytechnical University, China
A sparse reconstruction model using proper orthogonal decomposition and radial basis function neural network is proposed. In the optimization of sensor locations, an enhanced objective function is devised by integrating the surface loads. Results demonstrate accurate estimation of surface pressure coefficients on the aircraft DLR-F6 using 36 sensors.