What is it about?
The efficacy of a munition depends on target detection, estimation of its motion, guidance, tracking, and control; in fact even more so if the target is moving. This paper is concerned with the flight dynamics of a munition in the atmosphere under four different guidance schemes to intercept an evasive ground target. The miss distances and commanded acceleration required by these guidance laws are compared. Two-dimensional planar flight of the munition and its pitch motion model is developed and simulated. The forward and/or backward motion of a target tank on the ground is modeled as a second-order Gauss-Markov process. To estimate the target location on the ground and the line-of-sight rate to intercept it, an Extended Kalman Filter is composed whose state vector consists of cascaded state vectors of missile dynamics and target dynamics. The line-of-sight angle measurement from the infrared seeker and range measurement from the millimeter-wave radar are used in the Kalman Filter for relative navigation of the munition. With navigation errors amidst sensor measurement noise, the miss distance of the munition is 1.03 m. It is capable of hitting the target with high accuracy as well as minimizing the lateral acceleration demand.
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Why is it important?
The efficacy of a munition depends on target detection, estimation of its motion, guidance, tracking, and control; in fact even more so if the target is moving. This paper is concerned with the flight dynamics of a munition in the atmosphere under four different guidance schemes to intercept an evasive ground target. The miss distances and commanded acceleration required by these guidance laws are compared. Two-dimensional planar flight of the munition and its pitch motion model is developed and simulated. The forward and/or backward motion of a target tank on the ground is modeled as a second-order Gauss-Markov process. To estimate the target location on the ground and the line-of-sight rate to intercept it, an Extended Kalman Filter is composed whose state vector consists of cascaded state vectors of missile dynamics and target dynamics. The line-of-sight angle measurement from the infrared seeker and range measurement from the millimeter-wave radar are used in the Kalman Filter for relative navigation of the munition. With navigation errors amidst sensor measurement noise, the miss distance of the munition is 1.03 m. It is capable of hitting the target with high accuracy as well as minimizing the lateral acceleration demand.
Perspectives
The precise hitting of ground maneuvering targets with PGMs is considered in the paper. Four different guidance laws are compared, and it is shown that the proportional navigation guidance augmented with drag and gravitational acceleration yields the minimum miss distance. Extended Kalman Filter is developed for an accurate estimation of the position of the moving target. The proportional navigation guidance law with drag and gravity augmentation is integrated with equations of motion of PGM. The evasive motion of the tank target is modeled as a second-order Gauss Markov process and integrated with the guidance and control of the PGM and navigation with extended Kalman Filter. The line-of-sight angle and range measurements were obtained with the IR sensor and MMW radar respectively.
Mrs Sreeja S
Indian Institute of Technology Bombay
Read the Original
This page is a summary of: Precision Munition Guidance and Moving-Target Estimation, Journal of Guidance Control and Dynamics, September 2016, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/1.g000382.
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