Roll angle estimation of guided gun-launched projectile using MEMS angular rate gyro and magnetometer

Qian, Ruixue; Xu, Guangyan; Yang, Kaipei; Yun, Xu

doi:10.1088/1742-6596/1209/1/012018

Cited by 3 publications

(2 citation statements)

References 1 publication

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“…The initial roll angle acquisition is the basis for realizing high-precision air alignment of guided missile bodies [1][2] . For the use of guided missile bodies with large overload, high rotation, high impact, and large spatial constraints on the projectile [3] , the traditional roll angle measurement methods [4][5][6][7][8][9][10][11][12][13][14] have their own limitations, such as poor overload resistance of optical fibre inertial measurement combinations, the ease of losing the integral zero position of conventional MEMS gyroscopes in case of excessive impact, the ease of external interference in satellite attitude measurement, and the harsh requirements of geomagnetic sensors for the working environment.…”

Section: Introductionmentioning

confidence: 99%

Research on the initial roll angle algorithm of guided missile bodies based on adaptive complementary filtering

Xu,

Jiang,

Zhang

et al. 2024

Speckle 2023: VIII International Conference on Speckle Metrology

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Wide dynamic guided cannonballs need to be air-aligned after firing, and the precise acquisition of their initial roll angle has been a technical difficulty in the industry. In order to solve the problem that the driveless MEMS gyroscope cannot calculate the initial roll angle on a gentle trajectory, and the attitude information obtained by solving only the crest point is too few, this paper proposes a combined measurement scheme of driveless MEMS gyroscope and accelerometer based on adaptive complementary filtering technology, and the extended Kalman filter and Hilbert transform are used to solve the attitude calculation, which can obtain comprehensive attitude information and solve the problem of gentle trajectory attitude measurement of guided projectile. Both theoretical curve analysis and experimental results analysis prove the effectiveness of the method in this paper.

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Section: Introductionmentioning

confidence: 99%

Research on the initial roll angle algorithm of guided missile bodies based on adaptive complementary filtering

Xu,

Jiang,

Zhang

et al. 2024

Speckle 2023: VIII International Conference on Speckle Metrology

View full text Add to dashboard Cite

show abstract

“…In view of the problems of using only geomagnetic sensor to measure the roll angle of the projectile, many scholars used different types of sensors for data fusion to measure the roll angle. Qian et al combined the gyroscope and geomagnetic information by using the extended Kalman filter algorithm to estimate the roll angle information when the GPS was invalid [16]. Aiming at the change of yaw angle that brings about large error by using geomagnetic information in the calculation of roll angle, Zhang et al proposed a fusion algorithm to solve the roll angle of a missile [17,18].…”

Section: Introductionmentioning

confidence: 99%

Roll Angle Estimation Algorithm of Geomagnetic/Gyro Combination Based on an Interacting Multiple‐Model Kalman Filter

Wang

2021

Journal of Sensors

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The knowledge of the geomagnetic and gyro information that can be used for projectile roll angle is decisive to apply trajectory correction and control law. In order to improve the measurement accuracy of projectile roll angle, an interacting multiple-model Kalman filter (IMMKF) algorithm using gyro angular rate information to geomagnetic sensor information is proposed. Firstly, the data acquisition module of the geomagnetic sensor and the gyroscope sensor is designed, and the test data of the sensors are obtained through the semiphysical experiments. Furthermore, according to the measurement accuracy of each sensor, the algorithm performs the IMMKF process on the geomagnetic/gyro information to get the roll angle. It can be proven by experiments and calculation results that the error of the roll angle obtained after processing by the IMMKF algorithm is close to 2°, which is better than the 5° calculated by adopting the Kalman filter directly with geomagnetic information.

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Derivative ratio attitude solution algorithm of tri-orthogonal magnetic sensor for spinning projectile

Yang

et al. 2021

Measurement

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Roll angle estimation of guided gun-launched projectile using MEMS angular rate gyro and magnetometer

Cited by 3 publications

References 1 publication

Research on the initial roll angle algorithm of guided missile bodies based on adaptive complementary filtering

Research on the initial roll angle algorithm of guided missile bodies based on adaptive complementary filtering

Roll Angle Estimation Algorithm of Geomagnetic/Gyro Combination Based on an Interacting Multiple‐Model Kalman Filter

Derivative ratio attitude solution algorithm of tri-orthogonal magnetic sensor for spinning projectile

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