A multi-model-based method for estimating Martian atmospheric entry capacity interruption

Abstract

The invention discloses a method for estimating the interruption of Mars atmosphere entry capacity based on multiple models, relates to a method for estimating the interruption of Mars atmosphere entry capacity, and belongs to the technical field of deep space exploration. The implementation steps of the present invention are as follows: Step 1: Establish the dynamic equation of the Martian atmosphere entry section. Step 2: Establish the radio measurement model and the radio measurement interruption model of the Martian atmosphere entry section, which are used in step 3 to correct the position and velocity information of the probe. Step 3 combines the radio model, interruption model and filtering algorithm of step 2 to solve the state of the detector, and estimate the state of the detector. The invention can effectively suppress the divergence problem of the state estimation of the detector when the radio measurement is interrupted, and improve the reliability and state estimation accuracy of the autonomous navigation system of the detector in the Mars atmosphere entry section. The invention can provide technical support and reference for the design of the radio navigation scheme adopted in the atmospheric entry section in the future Mars landing detection.

Description

A multi-model-based method for estimating Martian atmospheric entry capacity interruption technical field The invention relates to a method for estimating the interruption of Martian atmosphere entry capacity, belonging to the technical field of deep space exploration. Background technique The Mars fixed-point landing detection is an important means to obtain more scientifically valuable discoveries. In order to realize the future Mars fixed-point landing detection, the probe must be guided and controlled during the atmosphere entry process, so as to ensure that the probe accurately reaches the pre-opening point, and accurately The prerequisite for guidance and control is that the navigation system can provide accurate status information for the detector. Therefore, designing a navigation scheme and an estimation algorithm that can accurately determine the state information of the detector is a prerequisite for fixed-point landing detection. In previous successful landin...

AI Technical Summary

Problems solved by technology

Since the system state equation and measurement model both exhibit strong nonlinear time-varying characteristics, the traditional Kalman filter algorithm cannot filter and estimate the nonlinear time-varying system, so the nonlinear filtering method should be used to estimate the state information of the detector

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