With the development of space technology,micro/nano satellites are more and more widely used in rendezvous and docking,fly-around and other tasks.However,micro/nano satellites have a high demand for control accuracy when performing the above tasks,while the low power consumption and limited arithmetic power of the on-board platform make it difficult to deploy optimized control methods.Aiming at this problem,this paper carries out a ground simulation control study of micro/nano satellite near-arrival around-flight docking.First,a set of ground air float platform simulation system is designed,including air float satellite simulator equipped with eight micro-thrusters,which can realize real-time attitude-orbit cooperative control.Second,for maneuvering tasks such as straight-line approach,fly-around and rendezvous and docking,a variety of performance constraints such as thrust saturation and mission constraints such as attitude pointing are designed by using the Constraint-Aware Particle Filtering-based Modified Model Predictive Controller(CAPF-NMPC).Subsequently,the nonlinear optimization problem is solved by Monte Carlo sampling method,which avoids the problem of easy local convergence of traditional NMPC.Finally,the performance of the designed control algorithm is tested through simulation and physical verification.The experimental results show that the designed optimization control algorithm consumes less computational resources and can output control commands in real time at 2 Hz on a low-power on-board computer,and the method can achieve precise approach,orbiting and high-precision docking of the target,with a position control error of only 0.0078 m and an attitude control error of 0.62°,significantly improves accuracy compared to conventional control algorithms.This study provides an effective solution for the deployment of optimized control algorithms for on-board platforms,which has high engineering application value.
关键词
微纳卫星/气浮模拟器/近距离交会对接/约束感知粒子滤波/非线性模型预测控制/姿轨控制/多约束
Key words
Micro/nano Satellite/Air Float Simulator/Close-range Rendezvous and Docking/Con-straint-aware Particle Filtering/Nonlinear Model Predictive Control/Attitude and Orbit Control/Multiple Constraints