Researching and building a method for testing and adjusting the strapdown inertial navigation system

2021 ◽  
pp. 24-31
Author(s):  
Nguyen Trong Khuyen
Keyword(s):  
Navigation System ◽  
Inertial Navigation System ◽  
Inertial Navigation ◽  
Vital Role ◽  
Strapdown Inertial Navigation System ◽  
Digital Map ◽  
Navigation Accuracy ◽  
Strapdown Inertial Navigation

The strap-down inertial navigation system (SINS) is widely used and becoming very important in many areas, especially in the arms industry when the GPS signal is lost or not reliable. To ensure the precision of the system, in addition to optimizing the algorithm for the strap-down inertial navigation system, the testing, and adjusting of the SINS system when installed on vehicles also play a vital role. In the article, a method of displaying SINS data on a digital map is proposed. Furthermore, the article also proposes a method to assess the influence of misalignment angles on the navigation accuracy and how to estimate and correct them.

The Study of Kalman Filtering Algorithm in the Initial Alignment of Strapdown Inertial Navigation System

2015 ◽  
Vol 740 ◽  
pp. 596-599 ◽  
Author(s):  
Shi Qi An ◽  
Jun Kai Zhang
Keyword(s):  
Kalman Filtering ◽  
Navigation System ◽  
Inertial Navigation System ◽  
Inertial Navigation ◽  
Strapdown Inertial Navigation System ◽  
Initial Alignment ◽  
Filtering Algorithm ◽  
Kalman Filtering Algorithm ◽  
Navigation Accuracy ◽  
Strapdown Inertial Navigation

According to the principle and the method of initial alignment of strapdown inertial navigation system, proposed based on Sage-Husa adaptive kalman filter algorithm. The measured simulation data, compared with those of kalman filtering algorithm, show that the optimized algorithm can optimize the noise estimation, revise accumulated error of strapdown inertial navigation system, and greatly improve the navigation accuracy.

Observability and Estimation Error Analysis of the Initial Fine Alignment Filter for Nonleveling Strapdown Inertial Navigation System

2012 ◽  
Vol 135 (2) ◽  
Author(s):  
Seong Yun Cho ◽  
Hyung Keun Lee ◽  
Hung Kyu Lee
Keyword(s):  
Navigation System ◽  
Inertial Navigation System ◽  
Inertial Navigation ◽  
Strapdown Inertial Navigation System ◽  
The State ◽  
State Model ◽  
Low Grade ◽  
State Variables ◽  
Estimation Errors ◽  
Strapdown Inertial Navigation

In this paper, performance of the initial fine alignment for the stationary nonleveling strapdown inertial navigation system (SDINS) containing low-grade gyros is analyzed. First, the observability is analyzed by conducting a rank test of an observability matrix and by investigating the normalized error covariance of the extended Kalman filter based on the ten-state model. The results show that the accelerometer biases on horizontal axes are unobservable. Second, the steady-state estimation errors of the state variables are derived using the observability equation. It is verified that the estimates of the state variables have errors due to the unobservable state variables and nonleveling attitude angles of a vehicle containing the SDINS. Especially, this paper shows that the larger the attitude angles of the vehicle are, the greater the estimation errors are. Finally, it is shown that the performance of the eight-state model excluding the two unobservable state variables is better than that of the ten-state model in the fine alignment by a Monte Carlo simulation.

Application of Intelligent Materials in Vibration Control for Strapdown Inertial Navigation System

2013 ◽  
Vol 804 ◽  
pp. 275-278
Author(s):  
He Sun ◽  
Fan Li ◽  
Jian Hui Zhao
Keyword(s):  
Vibration Control ◽  
Navigation System ◽  
Pid Controller ◽  
Inertial Navigation System ◽  
Inertial Navigation ◽  
Strapdown Inertial Navigation System ◽  
Control Methods ◽  
Intelligent Materials ◽  
Fuzzy Pid Controller ◽  
Strapdown Inertial Navigation

This paper investigated the vibration control based on intelligent materials for strapdown inertial navigation system (SINS) from theoretical analysis to simulation verification. At first, significance of vibration control in SINS and the disadvantages of the traditional vibration control methods were set forth. Then, intelligent material and structure were introduced to improve the situation. A method of combining active and passive vibration control based on piezoelectric ceramic had been put forward. Through modeling and designing PID and fuzzy PID controller separately, the simulation results show that both the model and the control methods are effective. Finally, its effectiveness and the further researched required to be done were summarized.

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