scholarly journals Development of strapdown inertial navigation system with MEMS sensors, barometric altimeter and ultrasonic range meter

Author(s):  
I S Kholopov
Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1683 ◽  
Author(s):  
Zhengyao Jing ◽  
Jie Li ◽  
Xi Zhang ◽  
Kaiqiang Feng ◽  
Tao Zheng

In previous research, a semi-strapdown inertial navigation system (SSINS), based on micro-electro-mechanical system (MEMS) sensors, was able to realize over-range measurement of the attitude information of high-rotation missiles by constructing a single axis “spin reduction” platform. However, the MEMS sensors in SSINS were corrupted by significant sensor errors. In order to further improve SSINS measurement accuracy, a rotational modulation technique has been introduced to compensate for sensor errors. The ideal modulation angular velocity is changed sharply to achieve a constant speed, while in practical applications, the angular rate of the rotating mechanism’s output needs to go through an acceleration-deceleration process. Furthermore, the stability of the modulation angular rate is difficult to achieve in a high-speed rotation environment. In this paper, a novel rotation scheme is proposed which can effectively suppress the residual error in the navigation coordinate system caused by the modulation angular rate error, including the acceleration-deceleration process and instability of angular rate. The experiment results show that the position and attitude accuracy of the new rotation scheme was increased by more than 56%. In addition, the proposed scheme is applicable to navigation accuracy improvement under various dynamic conditions.


Author(s):  
Seong Yun Cho ◽  
Hyung Keun Lee ◽  
Hung Kyu Lee

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.


2013 ◽  
Vol 804 ◽  
pp. 275-278
Author(s):  
He Sun ◽  
Fan Li ◽  
Jian Hui Zhao

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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