Application of RBFNN to transfer alignment of INS

RBFNN based on particle swarm optimization (PSO) algorithm is proposed and is applied to transfer alignment of the carrier plane´ INS. This algorithm adopts non-linear inertia weight reduction strategy to accelerate the optimize convergence and improve the search capabilities of particles. Simulation results shows that using RBFNN based on PSO to transfer alignment, not only can improve efficiency of transfer alignment and get the precision similar to Kalman filter, but also can accelerate the rapidity of convergence and satisfy the real-time quality of transfer alignment.