A Fast and Optimal Method Based on Fuzzy Neural Networks for SINS Initial Alignment

The paper presents an approach which applies LQ optimal control in Strap-down Inertial Navigation System (SINS) initial alignment. The detailed analysis process about this method has been shown, and anti-jamming designs were done for the approximate step-wise disturbance which appeared in the system, to gain the optimal control parameter, the fuzzy neural network is used in the method. Simulations are performed to validate the scheme for initial alignment, obtained the same precision to other alignment method. And the most splendid was that the using of the LQ optimal control reduces the alignment time consumedly much more quickly than other traditional method. What is discovered in the simulation is while the initial error angles were smaller than 10 degrees; error angle will converge to quite good precision in several seconds.