Maintain The Accuracy Of Techology On Inertial Navigation System For Marching Vehicles

The rapidity, accuracy and reliability of weapons have been the technical difficult ies in the process of development, and balanced consideration is required in the rational design of the performance of the system. In the development of military-vehic le navigation technology, the system can enhance the rapidity embodied in technica l positions as the carrier has completed the initial alignment. Keeping the accuracy is the only thing needed to do in the transitions, ensuring the system error within the al owed range, so that alignment time is saved after the carrier reaches the launch position. This is consistent with the principle of rapid design and contributes to increase the overall viability of the weapon. However, various influences cause reduced accuracy and error divergence when armed vehicle marches. In this paper, inertial navigation in combinat io n with other techniques is used to solve this part of the problem.Strapdown inertial navigation System(SINS) is one of the hottest research contents in various countries because of its high autonomy and other factors, which have been used as an important navigation mode in national defense and military affairs. The development of modern military requires the high precision demand and high reliabilit y guarantee of the automotive navigation system, and the new research direction of integrated navigation system based on SINS is put forward. Multi navigation technology can be used to maximize the use of each other to show their own advantages, to provide a higher accuracy of navigation information. Based on the principle of SINS navigat io n and its kinematic equation, the error equation is established in the paper, and planning trajectory information is obtained by using trajectory generator. Moreover, armed car in the transition process is simulated and the pure SINS navigation experiments are done. According to the results, the precision of the SINS system with no error is very high, and the closed loop principle is satisfied. But after introducing the error, the system error increases rapidly with time, and the divergence is serious, it is difficult to keep the precision of the moving.The paper, based on the SINS navigation technology, designs the structure and the scheme of the integrated navigation precision keeping system. SINS+GPS combinat io n mode is selected to establish the speed, position and other types of error model. The lever arm error introduced, considered in the engineering practice, can be more close to the real-vehicle navigation system. Select the combination mode of SINS/odometer(OD), and add the misalignment and scale factor error to the SINS model in order to construct integrated model. According to the structure of the system’s error equation, the Kalman filter method is selected to deal with the error data, and the filter is updated in the form of a variety of state variables and observations. Then the filtered estimate value is modified by the SINS in real time by adopting the way that velocity and position give feedback to SINS. This structure is different from one-time correction method, which can improve the accuracy of the system and enhance the feedback performance of real- time system. The results show that optimal estimates of system error meet the technica l requirements to maintain the accuracy of marching, and increase the flexibility of the system.Finally, in order to increase the reliability of the system and high precision characteristic and fault tolerance, based on federated filtering algorithm, informa t io n fusion theory, the master filter of the SINS+GPS+OD integrated navigation is constructed with no reset federated filtering structure, and estimation algorithm steps are analyzed. Simulation results show that this algorithm is effective, although suboptimal estimatio n of the combined filter slightly worse than the optimal estimation of sub filter 1. The systematic error within the permitted range is small, making the system serve to mainta in the accuracy of marching, and improving the ability of the system to resist external environmental interference.