MEMS gyroscopes error compensation method for micro satellite based on integration nerval net

A micro-satellite and neural network technology, applied in the inertial field, can solve the problems of low neural network prediction accuracy, poor stability, and low result accuracy, so as to improve stability and prediction accuracy, improve overall generalization error, and enhance generalization ability Effect

Inactive Publication Date: 2008-04-09
BEIHANG UNIV
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Problems solved by technology

However, MEMS gyroscopes have low precision, and errors such as gyro drift, scale factor errors, and non-orthogonal errors cause the original output data to be nonlinear. The rate calibration method has high accuracy, but only part of the error coefficient can be calibrated, and the rate calibration method alone cannot Complete the overall error calibration; the static multi-position calibration test can calibrate all the error coefficients in the overall error model, but since the static calibration test only uses the two weak input excitations of the earth's rotation angular velocity and the acceleration of gravity to calibrate each error coefficient, Therefore, the accuracy o...

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  • MEMS gyroscopes error compensation method for micro satellite based on integration nerval net
  • MEMS gyroscopes error compensation method for micro satellite based on integration nerval net
  • MEMS gyroscopes error compensation method for micro satellite based on integration nerval net

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Embodiment Construction

[0027] The realization process of micro-satellite MEMS gyro error compensation method of the present invention is as shown in Figure 1, mainly comprises following four steps:

[0028] (1) Set the network scale and establish a neural network model

[0029] As shown in Figure 2, D is all learning samples, D i (i=1, 2,..., k) are not exactly the same multiple sets of learning samples, φ i (x)(i=1, 2, ..., k) is the learning sample D i The individual neural network after training, φ(x) is the integrated neural network model obtained after integrating the individual network. In the integrated neural network strategy, each base network is obtained by training with different self-service sample sets, and the final integrated prediction model is formed by aggregating network base predictor sets. Using the aggregation method of calculating the average value of all prediction results, each single base network obtained by training contains the transition rules from digital states to e...

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Abstract

A micro satellite MEMS gyroscope error compensation method based on an integrated nerve network comprises: (1) founding an integrated nerve network model, (2) acquiring a studying sample, (3) training the integrated nerve network, (4) compensating the error of the micro satellite MEMS gyroscope. The integrated nerve network fits a trained sample excessively through integrating a plurality of nerve network weak learning devices and overcomes the defects of low precision of predication manifested by a single nerve network and low stability, effectively improves the stability of the system and the precision of the predication, and enforces the generalization ability of the system. The nerve network after being trained can get infinitely close to the nonlinear functions of input or output signals of the gyroscope with high precision and can realize the compensation of high precision of the micro satellite MEMS gyroscope with low calculation cost.

Description

technical field [0001] The invention belongs to the technical field of inertia, and relates to a calibration method for a gyroscope, in particular to a calibration compensation method for a MEMS gyroscope used in micro-satellites, which is applicable to various MEMS gyroscopes. Background technique [0002] With the development of the national economy, there is an urgent need to use wide-range and large-range satellites to conduct high-resolution earth observation and monitoring of ocean, environment, agriculture, forestry and other resources. accomplish. With the rapid development of satellite technology, micro-satellites have become the main direction of satellite development due to their low cost, light weight, short development cycle, flexible launch, and easy formation and networking; Low-cost, high-efficiency distributed high-resolution Earth observation missions. Micro-satellites have been flying in space for a long time, and precise autonomous positioning and attit...

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Application Information

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IPC IPC(8): G01C25/00G06N3/02G06N3/08
Inventor 房建成徐帆韩晓英刘百奇全伟
Owner BEIHANG UNIV
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