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传统以坦克炮塔坐标系为基准的火控系统很难完成高速动对动状态下的精准射击,针对此问题,通过基于大地坐标系的坐标变换,建立了一种车载火控系统高速动对动状态下,进行自动跟踪时敌我两车瞬时运动关系的运动学模型。利用车载激光测距仪和车载传感器的实时量测数据,使用卡尔曼滤波算法对目标的运动轨迹进行预测,从而实现车载火控系统的自动跟踪,射击准备时间由过去的10 s左右缩短到了4 s以内,理论上使得坦克首发命中率由过去的50%～70%提高到了90%以上。通过仿真验证了预测结果较为精确和理想,为提高车载火控系统的性能、发展全数字火控系统作了有益的尝试。
The traditional fire control system based on the tank turret coordinate system is very difficult to complete the precise shooting under the condition of high-speed moving and moving. Based on the coordinate transformation based on the earth coordinate system, a high-speed moving and moving system of the vehicle-mounted fire control system State, automatic tracking when the enemy’s two vehicles kinematics instantaneous kinematic model. By using the real-time measurement data of vehicle laser range finder and vehicle-mounted sensor, the Kalman filter algorithm is used to predict the trajectory of the target, so as to realize automatic tracking of the vehicle-mounted fire control system. The shooting preparation time is shortened from about 10 s to 4 s, theoretically makes the tank starting hit rate from 50% to 70% in the past to more than 90%. The simulation results show that the prediction result is more accurate and ideal, and it is a useful attempt to develop the whole digital fire control system to improve the performance of vehicle fire control system.