Abstract
In this research work, a firing control system is developed for the ZU-23-2 Russian anti aircraft gun prototype by integrating an image processor with helmet mounted cueing system. The combined action of the image processor and inertial measuring unit, which is mounted on operators helmet used here to generate actuation command for the motors. Actuators used in this research are two stepper motors for azimuth and elevation motion of the weapon; both are controlled by a PI controller. The overall proposed systems are deployed in the prototype hardware and tested with an experiment by varying the target range and the PI controller parameters. Finally, results show an improvement in performance in terms of speed (1.75 sec) and approximately a 82% accuracy of detection as well as in tracking by applying background subtraction in frame deference algorithm. In addition, the deployed stepper motor gives a response time of 0.005 sec for every change in position of the gunner head with 95% accuracy in input waveform tracking.
Highlights
Fire control system is a mechanism of firing on an enemy target by creating a proper offset angle between the muzzle fire direction and sightline of a target which can be moving or stationary
Human cannoneer is considered as part of the firing control system [1]
Anti-aircraft gun prototype is constructed to carry out further study and experimentation on the overall proposed system and its major components including image processing, helmet cueing and controller subsystems (Fig. 10)
Summary
Fire control system is a mechanism of firing on an enemy target by creating a proper offset angle between the muzzle fire direction and sightline of a target which can be moving or stationary. This offset angle is referred to as predication angle. The video signal holds the selected target’s information (moving or stationary) and its background scene. Firing computers utilize video processing algorithms to differentiate a target from its background that helps to discover the target current position. A hybrid design of trackers is available, which is a merger of optical and inertial techniques to increase the tracking accuracy [3]
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