| Strap-down inertial navigation system is a new type of inertial navigation system with the development of the computer technology. It avoids the electromechanical navigation platform which mounts the inertial instruments(gyros and accelerometers) directly on the transporter, and its navigation function is done entirely by computer. Therefore, navigation system is small, light weight, low cost, and high feature comparing with the platform inertial navigation system. And with the development of computer and inertial instrument error compensation technology, the strap-down inertial navigation system navigation’s accuracy can be achieved on the platform inertial navigation system. So the strap-down inertial navigation system becomes the future direction of development of inertial navigation system.Based on the inertial navigation system features, This paper discusses the strap-down inertial navigation system’s basic working principle and navigation-related knowledge firstly,studies the strap-down inertial navigation system attitude matrix update algorithm in the direction cosine method, Euler angle method, the equivalent quaternion and rotation vector method. After the comparison of various algorithms, the eventual adoption of the rotation vector method is used at last to update the attitude matrix. Second, studies the strap-down inertial navigation algorithm, the speed of update algorithm, location update algorithm and update algorithm attitude angle, analyzed the effect of rotation speed of the algorithm and rowing compensation effect, and gives the speed and position error equation solver to the final inertial navigation parameters required for the navigation. Finally, use the engineering simulation software Matlab/Simulink to build simulation models. Based on the mathematical model the following simulation is done: Flight track simulation, accelerometers simulation,gyroscopes simulation and Strap-down inertial navigation solution simulation. Through analysis of simulation results verified the correctness and feasibility of the navigation algorithm. |