Autonomous Navigation and Stochastic Guidance of Mars Probe Aerocapture Through Multi-event Jettison
The navigation and guidance challenges are researched for multi-event jettison resistance con-trol probe during Mars aerocapture.A dynamic and measurement model for multi-event jettison drag mod-ulation probe during Mars aerocapture is developed.Mars atmospheric density is modeled as a Gaussian process that is combined with unscented Schmidt-Kalman filtering to take into account the impact of atmos-pheric density uncertainties on the probe's system state and provides statistical information of state.A sto-chastic guidance strategy is employed,using unscented transform to propagate statistical information,which is incorporated into guidance target design and optimizes drag-skirt separation timing.Simulation results validate the approach's effectiveness by enhancing navigation precision and reducing required veloci-ty increments for orbit entry.These advancements improve the success rate of Mars aerocapture and can serve as theory reference and technical supports for precise navigation and guidance in deep space explora-tion tasks.
Deep space explorationMars probeAerocaptureAutonomous navigationStochastic guidance
万方数据
维普
