Iteration SKF (Schmidt Kalman Filter) method of multi-source information integrated navigation of Mars power descent stage

A technology of dynamic descent and integrated navigation, which is applied in navigation calculation tools and other directions, and can solve problems such as constant position error, failure to meet real-time requirements, and poor estimation effect of gyroscope and accelerometer.

Inactive Publication Date: 2013-11-27
BEIHANG UNIV
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Problems solved by technology

[0004] The integrated navigation system based on IMU and MCAV has problems such as the unknown constant drift of the gyroscope and accelerometer of the IMU and the deviation of the altitude and speed provided by MCAV. The existing filtering methods cannot solve this problem well.
Peng Yuming introduced the constant value drift of the gyro and accelerometer of the IMU into the estimated state and used the extended Kalman filter (EKF for short) to estimate, but there is a constant position error in the X and Y directions, and the drift estimation of the gyro and accelerometer The effect is not good, and the unscented filtering method (UKF for short) is too large due to the expanded state, which cannot meet the real-time requirements (see Peng Yuming, "Research on New Mars EDL Navigation, Guidance and Control Technology", Master Thesis, Nanjing Aviation Aerospace University, 2011.)

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  • Iteration SKF (Schmidt Kalman Filter) method of multi-source information integrated navigation of Mars power descent stage
  • Iteration SKF (Schmidt Kalman Filter) method of multi-source information integrated navigation of Mars power descent stage
  • Iteration SKF (Schmidt Kalman Filter) method of multi-source information integrated navigation of Mars power descent stage

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Embodiment Construction

[0098] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0099] The present invention is an iterative SKF method for combined navigation of multi-source information in the Mars power descent segment, and its calculation flow chart is as follows figure 1 The schematic diagram of the shown and iterative SKF filtering algorithm is shown in figure 2 As shown, it includes the following four steps:

[0100] Step 1. Kinetic equation of Mars power descent section

[0101] The situation of the Mars power descent section is relatively complicated, and it is very difficult to establish an accurate dynamic model. On the basis of considering the IMU output, use it to construct the dynamic equation of the power descent section:

[0102] r · = v

[0103] v · = C b i ...

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Abstract

The invention discloses an iteration SKF method of multi-source information integrated navigation of the Mars power descent stage, which comprises the following steps: 1, utilizing the kinetics equation of the Mars power descent stage; 2, building the measurement equation of the Mars power descent stage; 3, discretizing the kinetics equation and the measurement equation, and then linearizing the kinetics equation and the measurement equation so as to obtain the novel kinetics equation and measurement equation; 4, outputting navigation information through utilizing the SKF filtering algorithm. Through the four steps, the kinetics equation and the measurement equation are built, and then the influence of errors in the measurement information is eliminated through utilizing the iteration SKF filtering algorithm to ensure the stability of the filtering algorithm, so that the purpose that navigation state of a detector is estimated efficiently and in real time. The method efficiently corrects the influence on the filtering caused by errors in the measurement equation, corrects the filtering errors caused by the truncation error caused by the Taylor series by utilizing the iteration method, improves the navigation precision, and enhances the stability of the filtering process, so that the navigation state of the detector can be estimated efficiently and in real time.

Description

technical field [0001] The invention relates to an autonomous navigation method for combined navigation of Mars power descent section, in particular to an iterative SKF method for multi-source information combination navigation of Mars power descent section, and belongs to the technical field of aerospace autonomous navigation. Background technique [0002] To make a soft landing on the surface of Mars, the Mars rover must go through three stages: entry stage, descent stage and landing stage (EDL for short). Although the entire EDL process is only 6-10 minutes, it is one of the most dangerous and important processes of the entire Mars exploration mission. [0003] The power descent phase begins when the Mars rover is 6-12 kilometers above the ground. At the beginning, the supersonic parachute was opened, but due to the high Mach number at this time, the heat shield could not be thrown away immediately, so this section still cannot use other sensors, and can only rely on the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C21/20
Inventor 傅惠民娄泰山王治华张勇波吴云章肖强
Owner BEIHANG UNIV
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