利用Gauss-Markov过程的着陆小天体导航与制导方法

A navigation and guidance algorithm for small celestial body landing using the Gauss-Markov process

给出一种利用Gauss-Markov过程的自主着陆小天体导航与制导算法,来解决无法得到精确的轨道动力学模型带来的轨道确定困难问题。主要是在导航算法中,采用一阶高斯-马尔科夫过程近似着陆探测器轨道动力学中的无模型加速度,利用扩展卡尔曼滤波估计探测器的位置、速度及无模型加速度。通过数学仿真分析了给出的自主导航与制导系统的性能,并对比了采用与不采用一阶高斯-马尔科夫过程的导航滤波器性能,结果表明前者明显优于后者。

The navigation and guidance algorithm using the Gauss-Markov process for autonomous small celestial body landing is presented to solve the orbit determination difficult problem induced by not obtaining the accurate orbit dynamic model.In the navigation algorithm,the un-modeled accelerations acting on the landing probe are approximated by a first-order Gauss-Markov process.The position and velocity of probe,and the un-modeled accelerations are estimated by using the extended Kalman filter.Performance of the autonomous navigation and guidance system is verified by using the numerical simulation.The performance of the navigation filter using the first-order Gauss-Markov process is compared with that not using the process.And the simulation results show that the former is obviously superior to the latter.