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工作在纯惯性状态的捷联惯导系统存在周期性振荡误差,严重制约了系统的导航精度。基于三阶罗经对准网络,结合内水平阻尼网络选取原则,严格按照主导极点配置法要求,提出了一种新的阻尼参数选取方法,在此基础上设计了一种简单且普适性强的双线性变换内水平阻尼离散化算法。动态仿真实验验证了该种参数选取方法的可行性,同时也验证了离散算法的正确性。大量实际静态实验表明:设计的内水平阻尼网络和离散化算法可以有效地阻尼捷联惯导系统的舒勒周期振荡误差,提高系统导航精度。
Strapdown inertial navigation system operating in the purely inertial state has periodic oscillation error, which seriously restricts the navigation accuracy of the system. Based on the third-order compass alignment network, combined with the selection principle of inner-level damping network, a new damping parameter selection method is proposed in strict accordance with the requirements of dominant pole placement method. Based on this, a simple and universal Bilinear Transform Internal Horizontal Damping Discretization Algorithm. Dynamic simulation experiments verify the feasibility of this method of parameter selection, but also verify the correctness of the discrete algorithm. A large number of actual static experiments show that the designed inner horizontal damping network and discretization algorithm can effectively dampen Schuler periodic oscillation error of SINS and improve the navigation precision.