4.7 Article

ISSA Online Estimation Method for Guided Projectile Angular Rate Based on Magnetoresistive Sensors

Journal

IEEE SENSORS JOURNAL
Volume 23, Issue 1, Pages 256-264

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2022.3223117

Keywords

Sensors; Projectiles; Magnetic sensors; Magnetoresistance; Mathematical models; Optimization; Estimation; Angular rate online estimation; guided projectile; improved sparrow search algorithm (ISSA); magnetoresistive sensor

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Due to the complex and harsh launching and flying environment, gyros strapdown to projectile is prone to failure and cannot accurately sense projectile angular rate. This article establishes an online estimation model of projectile angular rate, which describes the mathematical relationship among the output information of magnetoresistive sensors, the angular rate of gyro output, and attitude matrix. In order to achieve real-time estimation of projectile angular rate, an improved sparrow search algorithm (ISSA) is proposed, which combines adaptive dynamic step strategy with dynamic compression search strategy, improving the traditional SSA. This method takes angular rate as the optimization object and uses the ISSA diagonal rate estimation model to solve and obtain high-precision estimation of angular rate. The simulation results verify the correctness and feasibility of the online estimation model of projectile angular rate using only magnetoresistive sensors, and the precision of angular rate estimation based on the ISSA is better than that of the traditional intelligent optimization algorithm.
Due to the complex and harsh launching and flying environment of guided projectile, gyros strapdown to projectile is easy to fail, and projectile angular rate cannot be accurately sensed. In this article, an online estimation model of projectile angular rate is established, which describes the mathematical relationship among output information of magnetoresistive sensors, the angular rate of gyro output, and attitude matrix. In order to realize the real-time estimation of projectile angular rate, an improved sparrow search algorithm (ISSA) is proposed. This method combines adaptive dynamic step strategy with dynamic compression search strategy, improving the traditional SSA. This method takes angular rate as the optimization object and uses the ISSA diagonal rate estimation model to solve and obtain high-precision estimation of angular rate. The simulation results verify the correctness and feasibility of the online estimation model of projectile angular rate only using magnetoresistive sensors, and the precision of angular rate estimation based on the ISSA is better than that of the traditional intelligent optimization algorithm.

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