舰载光电设备跟踪掠海目标的控制

舰载光电设备跟踪低空掠海目标时会由于载体摇摆受海面杂波的影响而导致跟踪失败,本文将基于CA模型的有限记忆最小二乘滤波与"近似-比较"模型前馈控制相结合,提出了一种能够全自动跟踪低空掠海目标的控制算法。该算法首先根据CA模型的最小二乘法从惯性导航角度数据滤波出速度数据前馈到速度回路;然后,通过"近似-比较"模型判断是否捕获了海面杂波;如果捕获了海面杂波,随即切换跟踪方式从电视跟踪转为数引跟踪。对提出的算法进行了试验验证,结果表明,该算法再次捕获掠海目标时间为437ms,比人工干预的5.93s提高了一个数量级。该算法在实现了全自动捕获、跟踪的同时,缩短了由于视轴"扎海"跟踪失败后再次捕获掠海目标的时间。

Control of ship-based optoelectronic equipment for tracking near-sea targets

Tracking near-sea targets by the shipborne optical-electronic equipment may be failed for the swing of ship and sea-noise-wave. For precisely controlling the near-sea targets, a new algorithm is proposed for the automatic tracking of near-sea targets combined the CA model based Least Square Method (LSM) with the approximate-comparison model based on feed forward control technology. The algorithm firstly feeds the speed data come from an inertial angle to the speed loop by the CA model based LSM , then it is used to determine whether the sea-noise-wave is acquired or not by the approximate-comparison model. If the sea-noise-wave is acquired, the tracking mode should be switched from TV tracking to guiding tracking. An experiment is carried out, results demonstrate that the re-acquire time has been shortened to 437 ms from 5.39 m, which is higher an order of magnitude than that of original method. By proposed algorithm, an automatic tracking can be realized and the re-acquire time come from "dipping sea" is shortened greatly.