Abstract
Inertial navigation system (INS) is a common choice for the purpose of position determination and trajectory tracking. However, standalone INS suffering from the problem of error accumulation with the time. This paper represents a methodology of enhancing of INS using Artificial Neural Networks (ANN). This will include the method of designing a navigation algorithm based on ANN in order to increase the accuracy and reliability of INS for trajectory tracking and fault detection. INS algorithm data is used to create an ANN algorithm. Several ANN structures are generated using neural network toolbox in MATLAB. The two algorithms are modelled and then a simulation study is carried out using MATLAB/Simulink tool box. Finally, the results of the INS algorithm and the ANN algorithm are compared and discussed