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在光电稳定平台中,摩擦力矩以及探测器制冷机扰动力矩都是影响平台稳定精度的主要扰动源之一。为了克服经典控制方法对机载光电稳定平台探测器制冷机扰动力矩和轴系摩擦力矩抑制能力的不足,在机载光电稳定平台中引入卡尔曼滤波器算法,其作用在于用递推算法将系统及随机测量噪声滤掉。仿真结果表明,采用此方法可以有效抑制轴系力矩扰动。与普通PID校正算法相比,采用卡尔曼滤波器闭环校正算法的调速精度由40%提高到优于1%。达到了提高稳定精度,克服噪声干扰的目的。
In the electro-optical stable platform, the friction moment and the disturbance torque of the detector chiller are both the main disturbance sources that affect the stability of the platform. In order to overcome the shortcomings of classical control methods on the disturbance torque and the frictional torque restraint of airborne photoelectric stabilized platform detector, the Kalman filter algorithm is introduced into the airborne electro-optical stability platform. Its function is to use the recursive algorithm to transform the system And random noise measurement filter out. The simulation results show that this method can effectively restrain the moment disturbance of shaft system. Compared with the ordinary PID correction algorithm, the accuracy of speed regulation using Kalman filter closed-loop correction algorithm is improved from 40% to better than 1%. To achieve the purpose of improving the stability and accuracy, to overcome the noise interference.