CN115077566A - Inertial navigation system resolving method - Google Patents

Inertial navigation system resolving method Download PDF

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CN115077566A
CN115077566A CN202210887979.3A CN202210887979A CN115077566A CN 115077566 A CN115077566 A CN 115077566A CN 202210887979 A CN202210887979 A CN 202210887979A CN 115077566 A CN115077566 A CN 115077566A
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coordinate system
virtual
accelerometer
gyro
error parameter
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CN115077566B (en
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胡小毛
罗巍
马林
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707th Research Institute of CSIC
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    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
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    • G01C25/005Manufacturing, calibrating, cleaning, or repairing instruments or devices referred to in the other groups of this subclass initial alignment, calibration or starting-up of inertial devices

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Abstract

The invention relates to the technical field of inertial navigation system application, and provides a resolving method of an inertial navigation system. The inertial navigation system resolving method comprises the following steps: establishing a virtual mathematic platform coordinate system, and obtaining a first conversion formula between the virtual mathematic platform coordinate system and a resolving mathematic platform coordinate system; converting original data of an inertial measurement unit for calculating a mathematical platform coordinate system into a virtual mathematical platform coordinate system according to a first conversion formula to obtain a first error parameter; and converting the first error parameter into a resolving mathematical platform coordinate system according to a second conversion formula for resolving. According to the invention, the virtual mathematical platform coordinate system is established, so that the calibration of the inertia measurement unit is not restricted by a carrier structure or an installation form, the observation and calibration tasks in the virtual mathematical platform coordinate system can be realized under the condition of not damaging a system hardware structure, and then the calculation and calibration results are mapped to the calculation mathematical platform coordinate system for calculation, so that the observability and convenience of error parameter calculation and calibration are improved.

Description

Inertial navigation system resolving method
Technical Field
The invention relates to the technical field of inertial navigation system application, in particular to a resolving method of an inertial navigation system.
Background
The self-calibration method of the high-precision Inertial navigation system is a calibration method for identifying system error parameters by taking a resolving error as an observed quantity, wherein each error quantity of a gyroscope and an accelerometer influences the resolving output of the system through error propagation, each calibration parameter of an IMU (Inertial Measurement Unit) can be estimated by acquiring all or part of information of the resolving error, all error parameters of an error model need to be excited in a reasonable excitation sequence, and all the error parameters can be observed.
However, due to the constraint of the carrier structure or installation form of the existing inertia element, the error parameters cannot be directly calibrated and observed in a resolving mathematical platform.
Disclosure of Invention
The invention provides a resolving method of an inertial navigation system, which is used for solving the defect that error parameters can not be directly calibrated and observed in a resolving mathematic platform in the prior art, finishing the estimation of the error parameters based on a virtual mathematic platform coordinate system and realizing the observability of the calibration of the error parameters.
The invention provides a resolving method of an inertial navigation system, which comprises the following steps:
establishing a virtual mathematic platform coordinate system, and obtaining a first conversion formula between the virtual mathematic platform coordinate system and a resolving mathematic platform coordinate system;
converting original data of an inertial measurement unit for calculating a mathematical platform coordinate system into a virtual mathematical platform coordinate system according to a first conversion formula for observation to obtain a first error parameter;
and converting the first error parameter into a resolving mathematical platform coordinate system according to a second conversion formula for resolving.
According to the inertial navigation system resolving method provided by the invention, in the step of establishing a virtual mathematical platform coordinate system and obtaining a first conversion formula between the virtual mathematical platform coordinate system and the resolving mathematical platform coordinate system, the resolving mathematical platform coordinate system comprises a reference coordinate system, a to-be-calibrated gyro coordinate system and a to-be-calibrated accelerometer coordinate system, the virtual mathematical platform coordinate system comprises a virtual reference coordinate system, a virtual gyro coordinate system and a virtual accelerometer coordinate system, wherein the reference coordinate system and the virtual reference coordinate system are orthogonal coordinate systems, and the to-be-calibrated gyro coordinate system, the to-be-calibrated accelerometer coordinate system, the virtual gyro coordinate system and the virtual accelerometer coordinate system are non-orthogonal coordinate systems.
According to the inertial navigation system calculating method provided by the invention, the original data of the inertial measurement unit for calculating the mathematical platform coordinate system is converted into the virtual mathematical platform coordinate system according to a first conversion formula, and in the step of obtaining a first error parameter, the first conversion formula is as follows:
Figure 293736DEST_PATH_IMAGE001
wherein the content of the first and second substances,pa reference table coordinate system;p 1 a virtual reference table coordinate system;ga gyroscope coordinate system to be calibrated;g 1 is a virtual gyro coordinate system, and is characterized in that,aan accelerometer coordinate system to be calibrated;a 1 in order to be a virtual accelerometer coordinate system,
Figure 291779DEST_PATH_IMAGE002
a matrix is transformed for the accelerometer body coordinate system to the virtual accelerometer body coordinate system,
Figure 517224DEST_PATH_IMAGE003
a transformation matrix for the gyro body coordinate system to the virtual gyro body coordinate system,
Figure 90156DEST_PATH_IMAGE004
and converting the matrix from the reference table coordinate system to the virtual reference table coordinate system.
According to the inertial navigation system calculating method provided by the invention, in the step of converting the first error parameter into the mathematical platform coordinate system for calculation according to the second conversion formula, the first error parameter comprises the first gyro error parameter, the second conversion formula comprises the first sub-conversion formula for converting the first gyro error parameter into the mathematical platform coordinate system for calculation, and the first sub-conversion formula is as follows:
Figure 401052DEST_PATH_IMAGE005
wherein the content of the first and second substances,
Figure 202786DEST_PATH_IMAGE006
is a scale factor of a gyroscope coordinate system,
Figure 548316DEST_PATH_IMAGE007
for the installation error of the gyro coordinate system,
Figure 528036DEST_PATH_IMAGE008
is a scale factor of the virtual gyro coordinate system,
Figure 326228DEST_PATH_IMAGE009
installing errors for a virtual gyroscope coordinate system;
wherein the content of the first and second substances,
Figure 931653DEST_PATH_IMAGE010
Figure 131690DEST_PATH_IMAGE011
Figure 780846DEST_PATH_IMAGE012
are respectively the scale factors of the gyro coordinate system,
Figure 800754DEST_PATH_IMAGE013
Figure 68925DEST_PATH_IMAGE014
Figure 998835DEST_PATH_IMAGE015
respectively, are scale factors of a virtual gyro coordinate system,
Figure 959837DEST_PATH_IMAGE016
Figure 355790DEST_PATH_IMAGE017
Figure 162072DEST_PATH_IMAGE018
Figure 212068DEST_PATH_IMAGE019
Figure 78393DEST_PATH_IMAGE020
Figure 463106DEST_PATH_IMAGE021
respectively, the installation errors of the gyro coordinate system,
Figure 73079DEST_PATH_IMAGE022
Figure 977581DEST_PATH_IMAGE023
Figure 14808DEST_PATH_IMAGE024
Figure 122703DEST_PATH_IMAGE025
Figure 536367DEST_PATH_IMAGE026
Figure 295376DEST_PATH_IMAGE027
respectively, the virtual gyro coordinate system installation errors.
According to the inertial navigation system resolving method provided by the invention, in the resolving step of converting the first error parameter into the resolving mathematic platform coordinate system according to the second conversion formula, the first error parameter comprises a first accelerometer error parameter, the second conversion formula comprises a second sub-conversion formula for converting the first accelerometer error parameter into the resolving mathematic platform coordinate system, and the second sub-conversion formula is as follows:
Figure 769082DEST_PATH_IMAGE028
wherein the content of the first and second substances,
Figure 862809DEST_PATH_IMAGE029
for scaling factors of accelerometer coordinate systemThe number of the first and second groups is,
Figure 549005DEST_PATH_IMAGE030
in order to provide for mounting errors in the accelerometer coordinate system,
Figure 552733DEST_PATH_IMAGE031
is a scale factor of the virtual accelerometer coordinate system,
Figure 72708DEST_PATH_IMAGE032
installing errors for a virtual accelerometer coordinate system;
wherein the content of the first and second substances,
Figure 529097DEST_PATH_IMAGE033
Figure 907732DEST_PATH_IMAGE034
Figure 500387DEST_PATH_IMAGE035
respectively, are the scale factors of the accelerometer coordinate system,
Figure 191263DEST_PATH_IMAGE036
Figure 134948DEST_PATH_IMAGE037
Figure 553160DEST_PATH_IMAGE038
respectively, the scale factors of the coordinate system of the virtual accelerometer,
Figure 265901DEST_PATH_IMAGE039
Figure 127678DEST_PATH_IMAGE040
Figure 558659DEST_PATH_IMAGE041
Figure 547606DEST_PATH_IMAGE042
Figure 114854DEST_PATH_IMAGE043
Figure 147532DEST_PATH_IMAGE044
respectively, the installation error of the coordinate system of the accelerometer,
Figure 190443DEST_PATH_IMAGE045
Figure 91403DEST_PATH_IMAGE046
Figure 247578DEST_PATH_IMAGE047
Figure 451157DEST_PATH_IMAGE048
Figure 591151DEST_PATH_IMAGE049
Figure 918971DEST_PATH_IMAGE050
respectively, the installation error of the virtual accelerometer coordinate system.
According to the inertial navigation system resolving method provided by the invention, the step of converting the original data of the inertial measurement unit for resolving the mathematical platform coordinate system into the virtual mathematical platform coordinate system according to the first conversion formula to obtain the first error parameter comprises the following steps:
and carrying out rotation excitation sequence processing on the original data converted into the virtual mathematic platform coordinate system, and estimating a first error parameter in the virtual mathematic platform coordinate system by using a Kalman filter.
According to the inertial navigation system resolving method provided by the invention, when original data converted into a virtual mathematic platform coordinate system is resolved, rotation excitation sequence processing is carried out, and in the step of estimating error parameters in the virtual mathematic platform coordinate system by using a Kalman filter, the method comprises the following steps:
and predicting the error state through an error equation of the Kalman filter, updating the predicted error state through an observation equation of the Kalman filter, and resolving and calibrating the first error parameter.
The inertial navigation system resolving method provided by the invention further comprises the following steps:
and converting the second error parameter directly obtained by resolving the mathematical platform coordinate system into a virtual mathematical platform coordinate system according to a third conversion formula, and verifying the second error parameter through the virtual mathematical platform coordinate system.
According to the inertial navigation system resolving method provided by the invention, the second error parameter comprises a second gyro error parameter, the third conversion formula comprises a third sub-conversion formula for converting the second gyro error parameter to a virtual mathematical platform coordinate system, and the third sub-conversion formula comprises:
Figure 460811DEST_PATH_IMAGE051
wherein the content of the first and second substances,
Figure 835292DEST_PATH_IMAGE052
is a gyro scale factor;
Figure 462582DEST_PATH_IMAGE053
is a gyro mounting error.
According to the inertial navigation system resolving method provided by the invention, the second error parameter includes a second accelerometer error parameter, the third conversion formula includes a fourth sub-conversion formula for converting the second accelerometer error parameter to a virtual mathematical platform coordinate system, and the fourth sub-conversion formula is as follows:
Figure 829978DEST_PATH_IMAGE054
wherein the content of the first and second substances,
Figure 226324DEST_PATH_IMAGE052
scaling a factor for an accelerometer;
Figure 771706DEST_PATH_IMAGE055
an accelerometer installation error.
The beneficial effects of the invention are:
the invention provides a resolving method of an inertial navigation system, which comprises the following steps: establishing a virtual mathematic platform coordinate system, and obtaining a first conversion formula between the virtual mathematic platform coordinate system and a resolving mathematic platform coordinate system; converting original data of an inertial measurement unit for calculating a mathematical platform coordinate system into a virtual mathematical platform coordinate system according to a first conversion formula to obtain a first error parameter; the first error parameter is converted into a resolving mathematic platform coordinate system according to a second conversion formula to be resolved, the virtual mathematic platform coordinate system is established, so that the calibration of the inertia measurement unit is not restricted by a carrier structure or an installation form, an observation calibration task in the virtual mathematic platform coordinate system can be realized under the condition of not damaging a system hardware structure, an error parameter calibration result is mapped to the resolving mathematic platform coordinate system to be resolved, and the observability and the convenience of error parameter resolving calibration are improved.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
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In order to more clearly illustrate the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic representation of the steps of a method of solution for an inertial navigation system according to the present invention;
FIG. 2 is a relationship diagram between a virtual mathematic platform coordinate system and a solved mathematic platform coordinate system in the inertial navigation system solution method provided by the invention.
Detailed Description
The embodiments of the present invention will be described in further detail with reference to the drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
In the description of the embodiments of the present invention, it should be noted that the terms "center", "longitudinal", "lateral", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience in describing the embodiments of the present invention and simplifying the description, but do not indicate or imply that the referred devices or elements must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the embodiments of the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the embodiments of the present invention, it should be noted that the terms "connected" and "connected" are to be interpreted broadly, and may be, for example, a fixed connection, a detachable connection, or an integral connection, unless explicitly stated or limited otherwise; can be mechanically or electrically connected; may be directly connected or indirectly connected through an intermediate. Specific meanings of the above terms in the embodiments of the present invention can be understood in specific cases by those of ordinary skill in the art.
In embodiments of the invention, unless expressly stated or limited otherwise, the first feature "on" or "under" the second feature may be directly contacting the first and second features or indirectly contacting the first and second features through intervening media. Also, a first feature "on," "over," and "above" a second feature may be directly or diagonally above the second feature, or may simply indicate that the first feature is at a higher level than the second feature. A first feature "under," "beneath," and "under" a second feature may be directly under or obliquely under the second feature, or may simply mean that the first feature is at a lesser elevation than the second feature.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of an embodiment of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
The inertial navigation system solution method of the present invention is described below with reference to fig. 1 and 2, and includes the following steps:
establishing a virtual mathematic platform coordinate system, and obtaining a first conversion formula between the virtual mathematic platform coordinate system and a resolving mathematic platform coordinate system;
converting original data of an inertial measurement unit for resolving a mathematical platform coordinate system into a virtual mathematical platform coordinate system according to a first conversion formula for observation to obtain a first error parameter;
and converting the first error parameter into a resolving mathematical platform coordinate system according to a second conversion formula for resolving.
In some embodiments, in the step of establishing a virtual mathematical platform coordinate system and obtaining a first conversion formula between the virtual mathematical platform coordinate system and a solving mathematical platform coordinate system, the solving mathematical platform coordinate system includes a reference coordinate system, a to-be-calibrated gyro coordinate system and a to-be-calibrated accelerometer coordinate system, the virtual mathematical platform coordinate system includes a virtual reference coordinate system, a virtual gyro coordinate system and a virtual accelerometer coordinate system, wherein the reference coordinate system and the virtual reference coordinate system are orthogonal coordinate systems, and the to-be-calibrated gyro coordinate system, the to-be-calibrated accelerometer coordinate system, the virtual gyro coordinate system and the virtual accelerometer coordinate system are non-orthogonal coordinate systems.
In some embodiments, the method includes converting raw data of an inertial measurement unit, which resolves a mathematical platform coordinate system, into a virtual mathematical platform coordinate system according to a first conversion formula, and in the step of obtaining the first error parameter, the first conversion formula is:
Figure 620714DEST_PATH_IMAGE056
wherein the content of the first and second substances,pa reference table coordinate system;p 1 a virtual reference table coordinate system;ga gyroscope coordinate system to be calibrated;g 1 is a virtual gyro coordinate system, and is characterized in that,aan accelerometer coordinate system to be calibrated;a 1 in order to be a virtual accelerometer coordinate system,
Figure 27687DEST_PATH_IMAGE057
a matrix is transformed from the accelerometer body coordinate system to the virtual accelerometer body coordinate system,
Figure 544119DEST_PATH_IMAGE003
a matrix is converted from the gyro body coordinate system to the virtual gyro body coordinate system,
Figure 260402DEST_PATH_IMAGE004
and converting the matrix from the reference table coordinate system to the virtual reference table coordinate system.
In some embodiments, the step of resolving is performed by converting the first error parameter to a resolved mathematical platform coordinate system according to a second conversion equation, the first error parameter comprising a first gyro error parameter, the second conversion equation comprising a first sub-conversion equation for converting the first gyro error parameter to the resolved mathematical platform coordinate system, the first sub-conversion equation being:
Figure 862284DEST_PATH_IMAGE058
wherein the content of the first and second substances,
Figure 837063DEST_PATH_IMAGE059
is a scale factor of a gyroscope coordinate system,
Figure 208001DEST_PATH_IMAGE007
for the installation error of the gyro coordinate system,
Figure 95186DEST_PATH_IMAGE060
is a scale factor of the virtual gyro coordinate system,
Figure 918785DEST_PATH_IMAGE009
and (4) setting errors of a virtual gyro coordinate system. In particular, the amount of the solvent to be used,
Figure 930210DEST_PATH_IMAGE010
Figure 155655DEST_PATH_IMAGE011
Figure 213741DEST_PATH_IMAGE012
are respectively the scale factors of the gyro coordinate system,
Figure 790216DEST_PATH_IMAGE013
Figure 841217DEST_PATH_IMAGE014
Figure 921169DEST_PATH_IMAGE015
respectively, are scale factors of a virtual gyro coordinate system,
Figure 415735DEST_PATH_IMAGE016
Figure 213927DEST_PATH_IMAGE061
Figure 570084DEST_PATH_IMAGE018
Figure 504542DEST_PATH_IMAGE019
Figure 904431DEST_PATH_IMAGE062
Figure 189918DEST_PATH_IMAGE021
respectively the installation error of the gyro coordinate system,
Figure 582722DEST_PATH_IMAGE022
Figure 637266DEST_PATH_IMAGE063
Figure 473635DEST_PATH_IMAGE024
Figure 980840DEST_PATH_IMAGE025
Figure 675870DEST_PATH_IMAGE064
Figure 850499DEST_PATH_IMAGE027
respectively, the virtual gyro coordinate system installation errors.
In some embodiments, the step of resolving is performed by converting the first error parameter to a resolved mathematical platform coordinate system according to a second conversion equation, the first error parameter comprising a first accelerometer error parameter, the second conversion equation comprising a second sub-conversion equation for converting the first accelerometer error parameter to the resolved mathematical platform coordinate system, the second sub-conversion equation being:
Figure 592190DEST_PATH_IMAGE028
wherein the content of the first and second substances,
Figure 852270DEST_PATH_IMAGE029
a scale factor is assigned to the accelerometer coordinate system,
Figure 586877DEST_PATH_IMAGE030
in order to provide for an accelerometer coordinate system mounting error,
Figure 350434DEST_PATH_IMAGE031
is a scaling factor for the virtual accelerometer coordinate system,
Figure 528605DEST_PATH_IMAGE032
and (4) installing errors for the virtual accelerometer coordinate system. Specifically, the method comprises the following steps:
Figure 10402DEST_PATH_IMAGE065
Figure 424066DEST_PATH_IMAGE034
Figure 933807DEST_PATH_IMAGE066
respectively, are the scale factors of the accelerometer coordinate system,
Figure 407514DEST_PATH_IMAGE067
Figure 251973DEST_PATH_IMAGE068
Figure 203748DEST_PATH_IMAGE069
respectively, the scale factors of the coordinate system of the virtual accelerometer,
Figure 332110DEST_PATH_IMAGE039
Figure 711139DEST_PATH_IMAGE070
Figure 42894DEST_PATH_IMAGE041
Figure 798361DEST_PATH_IMAGE042
Figure 279764DEST_PATH_IMAGE071
Figure 95274DEST_PATH_IMAGE044
respectively accelerometer coordinate system mounting error,
Figure 914325DEST_PATH_IMAGE072
Figure 942324DEST_PATH_IMAGE073
Figure 779699DEST_PATH_IMAGE047
Figure 766109DEST_PATH_IMAGE048
Figure 72457DEST_PATH_IMAGE074
Figure 169726DEST_PATH_IMAGE050
Respectively, the installation error of the virtual accelerometer coordinate system.
In some embodiments, the step of converting the raw data of the inertial measurement unit, which is used for solving the mathematical platform coordinate system, into the virtual mathematical platform coordinate system according to a first conversion formula to obtain the first error parameter includes:
and carrying out rotation excitation sequence processing on the original data converted into the virtual mathematical platform coordinate system, and estimating a first error parameter in the virtual mathematical platform coordinate system by using a Kalman filter.
In some embodiments, the step of estimating error parameters in the virtual mathematical platform coordinate system by using a kalman filter includes:
and predicting the error state through an error equation of the Kalman filter, updating the predicted error state through an observation equation of the Kalman filter, and resolving and calibrating the first error parameter.
In some embodiments, the method further comprises the steps of:
and converting the second error parameter directly obtained by resolving the mathematical platform coordinate system into a virtual mathematical platform coordinate system according to a third conversion formula, and verifying the second error parameter through the virtual mathematical platform coordinate system.
In some embodiments, the second error parameter comprises a second gyro error parameter, and the third transformation comprises a third sub-transformation that transforms the second gyro error parameter to the virtual mathematical platform coordinate system, the third sub-transformation being:
Figure 363072DEST_PATH_IMAGE075
wherein the content of the first and second substances,
Figure 520384DEST_PATH_IMAGE052
is a gyro scale factor;
Figure 314028DEST_PATH_IMAGE053
is a gyro mounting error.
In some embodiments, the second error parameter comprises a second accelerometer error parameter, the third transformation comprises a fourth sub-transformation that transforms the second accelerometer error parameter to the virtual mathematical platform coordinate system, the fourth sub-transformation being:
Figure 949408DEST_PATH_IMAGE054
wherein the content of the first and second substances,
Figure 761375DEST_PATH_IMAGE052
scaling a factor for an accelerometer;
Figure 89589DEST_PATH_IMAGE055
an accelerometer installation error.
The invention provides a resolving method of an inertial navigation system, which specifically comprises the following steps:
s10, establishing a virtual mathematic platform coordinate system, and obtaining a first conversion formula between the virtual mathematic platform coordinate system and a resolving mathematic platform coordinate system;
the resolving mathematical platform coordinate system comprises a reference coordinate system, a to-be-calibrated gyro coordinate system and a to-be-calibrated accelerometer coordinate system;
the virtual mathematical platform coordinate system comprises a virtual reference coordinate system, a virtual gyro coordinate system and a virtual accelerometer coordinate system;
furthermore, the reference coordinate system and the virtual reference coordinate system are orthogonal coordinate systems, and the gyroscope coordinate system to be calibrated, the accelerometer coordinate system to be calibrated, the virtual gyroscope coordinate system and the virtual accelerometer coordinate system are non-orthogonal coordinate systems;
as shown in fig. 2, in the present embodiment,
Figure 104949DEST_PATH_IMAGE076
three axes of a reference table coordinate system;
Figure 809600DEST_PATH_IMAGE077
three axes of a virtual reference table coordinate system;
Figure 974609DEST_PATH_IMAGE078
is composed ofThree axes of a gyroscope coordinate system to be calibrated;
Figure 473723DEST_PATH_IMAGE079
are the three axes of a virtual gyroscopic coordinate system,
Figure 976380DEST_PATH_IMAGE080
three axes of an accelerometer coordinate system to be calibrated;
Figure 953563DEST_PATH_IMAGE081
three axes of the virtual accelerometer coordinate system.
S20, converting the original data of the inertial measurement unit for calculating the mathematical platform coordinate system into a virtual mathematical platform coordinate system according to a first conversion formula to obtain a first error parameter;
that is, the raw pulse data of the inertial measurement unit is obtained based on solving the mathematical platform coordinate system, wherein the raw pulse data of the gyroscope is recorded as
Figure 740122DEST_PATH_IMAGE082
Original of accelerometerPulse data is recorded as
Figure 410138DEST_PATH_IMAGE083
;
And S21, establishing a conversion relation between the resolving mathematic platform coordinate system and the virtual mathematic platform coordinate system, namely a first conversion formula. In this embodiment, the first conversion formula specifically includes:
Figure 665670DEST_PATH_IMAGE084
wherein the content of the first and second substances,pis a reference table coordinate system;p 1 a virtual reference table coordinate system;ga gyroscope coordinate system to be calibrated;g 1 is a virtual gyro coordinate system, and is characterized in that,aan accelerometer coordinate system to be calibrated;a 1 in order to be a virtual accelerometer coordinate system,
Figure 446544DEST_PATH_IMAGE057
a matrix is transformed from the accelerometer body coordinate system to the virtual accelerometer body coordinate system,
Figure 589075DEST_PATH_IMAGE003
a matrix is converted from the gyro body coordinate system to the virtual gyro body coordinate system,
Figure 164413DEST_PATH_IMAGE004
and converting the matrix from the reference table coordinate system to the virtual reference table coordinate system.
S22, recording the raw pulse data of the gyroscope as
Figure 641661DEST_PATH_IMAGE085
Raw pulse data of the accelerometer is recorded as
Figure 226227DEST_PATH_IMAGE086
Correspondingly substituting the obtained data into the first conversion formula, and obtaining virtual gyro original pulse data and virtual accelerometer original pulse data corresponding to the virtual mathematical platform coordinate system according to the corresponding conversion matrixThe initial pulse data is recorded as:
Figure 721799DEST_PATH_IMAGE087
the virtual accelerometer raw pulse data is recorded as:
Figure 733617DEST_PATH_IMAGE088
and S23, performing rotation excitation sequence processing on the original data converted into the virtual mathematical platform coordinate system, estimating a first error parameter in the virtual mathematical platform coordinate system by using a Kalman filter, namely, performing rotation excitation sequence on the original pulse data of the virtual gyroscope and the original pulse data of the virtual accelerometer, predicting an error state by using an error equation of the Kalman filter, updating the predicted error state by using an observation equation of the Kalman filter, and resolving and calibrating the first error parameter to realize the observability of the first error parameter in the virtual mathematical platform coordinate system.
S30, converting the first error parameter into a mathematical platform coordinate system according to a second conversion formula for resolving, specifically, the first error parameter includes a first gyro error parameter, the second conversion formula includes a first sub-conversion formula for converting the first gyro error parameter into the mathematical platform coordinate system, and the first sub-conversion formula is:
Figure 432583DEST_PATH_IMAGE005
among them, in the present embodiment,
Figure 820839DEST_PATH_IMAGE006
is a scale factor of a gyroscope coordinate system,
Figure 692890DEST_PATH_IMAGE007
for the installation error of the gyro coordinate system,
Figure 875610DEST_PATH_IMAGE008
scaling factors for a virtual gyro coordinate systemThe number of the first and second groups is,
Figure 327451DEST_PATH_IMAGE009
and (4) setting errors of a virtual gyro coordinate system. Specifically, the method comprises the following steps:
Figure 909611DEST_PATH_IMAGE089
Figure 989562DEST_PATH_IMAGE011
Figure 484129DEST_PATH_IMAGE012
are respectively the scale factors of the gyro coordinate system,
Figure 282321DEST_PATH_IMAGE013
Figure 372899DEST_PATH_IMAGE014
Figure 838515DEST_PATH_IMAGE090
respectively, are scale factors of a virtual gyro coordinate system,
Figure 503983DEST_PATH_IMAGE016
Figure 523891DEST_PATH_IMAGE061
Figure 182275DEST_PATH_IMAGE018
Figure 236818DEST_PATH_IMAGE019
Figure 807608DEST_PATH_IMAGE062
Figure 580392DEST_PATH_IMAGE021
respectively, the installation errors of the gyro coordinate system,
Figure 541001DEST_PATH_IMAGE022
Figure 325418DEST_PATH_IMAGE063
Figure 457322DEST_PATH_IMAGE091
Figure 373194DEST_PATH_IMAGE092
Figure 124112DEST_PATH_IMAGE064
Figure 44926DEST_PATH_IMAGE027
respectively setting errors of a virtual gyroscope coordinate system;
the first gyro error parameter is converted from the virtual mathematical platform coordinate system to the resolving mathematical platform coordinate system, and the observation requirement of the first gyro error parameter on the resolving mathematical platform coordinate system is met.
Further, the first error parameter includes a first accelerometer error parameter, and the second transformation equation includes a second sub-transformation equation for transforming the first accelerometer error parameter to a mathematical platform coordinate system, where the second sub-transformation equation is:
Figure 82152DEST_PATH_IMAGE028
wherein the content of the first and second substances,
Figure 704895DEST_PATH_IMAGE029
is a scaling factor for the accelerometer coordinate system,
Figure 118558DEST_PATH_IMAGE030
in order to provide for mounting errors in the accelerometer coordinate system,
Figure 126835DEST_PATH_IMAGE031
is a scaling factor for the virtual accelerometer coordinate system,
Figure 69383DEST_PATH_IMAGE032
and (4) installing errors for the virtual accelerometer coordinate system. In particular, the method comprises the following steps of,
Figure 38476DEST_PATH_IMAGE033
Figure 131197DEST_PATH_IMAGE034
Figure 869346DEST_PATH_IMAGE035
respectively, are the scale factors of the accelerometer coordinate system,
Figure 137123DEST_PATH_IMAGE036
Figure 593512DEST_PATH_IMAGE068
Figure 411295DEST_PATH_IMAGE038
respectively, the scale factors of the coordinate system of the virtual accelerometer,
Figure 3950DEST_PATH_IMAGE039
Figure 960405DEST_PATH_IMAGE040
Figure 638511DEST_PATH_IMAGE041
Figure 558188DEST_PATH_IMAGE042
Figure 270929DEST_PATH_IMAGE043
Figure 132706DEST_PATH_IMAGE044
respectively, the installation error of the coordinate system of the accelerometer,
Figure 563687DEST_PATH_IMAGE072
Figure 785590DEST_PATH_IMAGE046
Figure 618416DEST_PATH_IMAGE047
Figure 916674DEST_PATH_IMAGE048
Figure 192541DEST_PATH_IMAGE049
Figure 93501DEST_PATH_IMAGE050
respectively setting errors of a virtual accelerometer coordinate system;
the method realizes that the error parameter of the first accelerometer is converted from the virtual mathematical platform coordinate system to the resolving mathematical platform coordinate system, and meets the observation requirement of the error parameter of the first accelerometer on the resolving mathematical platform coordinate system.
Firstly, it should be noted that, the invention takes the external orientation and internal orientation three-axis rotation type inertial navigation system as an example, the core of self-calibration is to design a set of reasonable rotation sequence, observability of excitation error parameters, the rotation excitation sequence of the general internal orientation three-axis rotation type inertial navigation system can not be directly used for the external orientation three-axis rotation type inertial navigation system, and similarly, the rotation excitation sequence of the external orientation three-axis rotation type inertial navigation system can not be directly used for the internal orientation three-axis rotation type inertial navigation system, the self-calibration rotation excitation sequence of the current internal orientation three-axis rotation type inertial navigation system is relatively mature, the invention realizes observability of the error of the external orientation three-axis rotation type inertial navigation system in the virtual calculation platform coordinate system by defining a virtual mathematical calculation platform on the basis of actually calculating the mathematical platform coordinate system under the condition of the rotation excitation sequence of the internal orientation three-axis rotation type inertial navigation system, the observability of the error parameters of the inertial navigation system with different structural forms under the condition of unchanged self-calibration excitation sequence is realized.
Converting a second error parameter directly obtained by resolving the mathematical platform coordinate system into a virtual mathematical platform coordinate system according to a third conversion formula, and verifying the second error parameter through the virtual mathematical platform coordinate system; specifically, the second error parameter includes a second gyro error parameter, the third conversion equation includes a third sub-conversion equation for converting the second gyro error parameter to the virtual mathematical platform coordinate system, and the third sub-conversion equation is:
Figure 656200DEST_PATH_IMAGE075
among them, in the present embodiment,
Figure 984414DEST_PATH_IMAGE006
is a scale factor of a gyroscope coordinate system,
Figure 249042DEST_PATH_IMAGE007
for the installation error of the gyro coordinate system,
Figure 688113DEST_PATH_IMAGE008
is a scale factor of the virtual gyro coordinate system,
Figure 105319DEST_PATH_IMAGE009
and (4) setting errors of a virtual gyro coordinate system. In particular, the method comprises the following steps of,
Figure 604434DEST_PATH_IMAGE010
Figure 857823DEST_PATH_IMAGE011
Figure 100585DEST_PATH_IMAGE012
are respectively the scale factors of the gyro coordinate system,
Figure 637877DEST_PATH_IMAGE013
Figure 307893DEST_PATH_IMAGE014
Figure 281534DEST_PATH_IMAGE015
are respectively asThe virtual gyro coordinate system is a scale factor,
Figure 327987DEST_PATH_IMAGE016
Figure 719785DEST_PATH_IMAGE061
Figure 560702DEST_PATH_IMAGE018
Figure 631427DEST_PATH_IMAGE019
Figure 104740DEST_PATH_IMAGE062
Figure 210099DEST_PATH_IMAGE021
respectively, the installation errors of the gyro coordinate system,
Figure 97284DEST_PATH_IMAGE022
Figure 186462DEST_PATH_IMAGE063
Figure 433773DEST_PATH_IMAGE024
Figure 924797DEST_PATH_IMAGE025
Figure 982883DEST_PATH_IMAGE064
Figure 293779DEST_PATH_IMAGE027
respectively, the installation errors of the virtual gyroscope coordinate system.
Further, the second error parameter includes a second accelerometer error parameter, the third transformation equation includes a fourth sub-transformation equation for transforming the second accelerometer error parameter to the virtual mathematical platform coordinate system, and the fourth sub-transformation equation is:
Figure 846245DEST_PATH_IMAGE093
among them, in the present embodiment,
Figure 191776DEST_PATH_IMAGE029
is a scaling factor for the accelerometer coordinate system,
Figure 686342DEST_PATH_IMAGE030
in order to provide for mounting errors in the accelerometer coordinate system,
Figure 218955DEST_PATH_IMAGE031
is a scale factor of the virtual accelerometer coordinate system,
Figure 339226DEST_PATH_IMAGE032
and (4) installing errors for the virtual accelerometer coordinate system. In particular, the method comprises the following steps of,
Figure 680209DEST_PATH_IMAGE094
Figure 939152DEST_PATH_IMAGE034
Figure 113388DEST_PATH_IMAGE095
respectively, are the scale factors of the accelerometer coordinate system,
Figure 647137DEST_PATH_IMAGE096
Figure 577047DEST_PATH_IMAGE068
Figure 272471DEST_PATH_IMAGE097
respectively, the scale factors of the coordinate system of the virtual accelerometer,
Figure 169889DEST_PATH_IMAGE039
Figure 241750DEST_PATH_IMAGE040
Figure 291745DEST_PATH_IMAGE041
Figure 158070DEST_PATH_IMAGE042
Figure 778670DEST_PATH_IMAGE043
Figure 654222DEST_PATH_IMAGE044
respectively, the installation error of the coordinate system of the accelerometer,
Figure 293145DEST_PATH_IMAGE072
Figure 595950DEST_PATH_IMAGE046
Figure 202381DEST_PATH_IMAGE047
Figure 616045DEST_PATH_IMAGE048
Figure 375053DEST_PATH_IMAGE049
Figure 848760DEST_PATH_IMAGE050
respectively, the installation error of the virtual accelerometer coordinate system.
The invention provides a resolving method of an inertial navigation system, which comprises the following steps: establishing a virtual mathematic platform coordinate system, and obtaining a first conversion formula between the virtual mathematic platform coordinate system and a resolving mathematic platform coordinate system; converting original data of an inertial measurement unit for calculating a mathematical platform coordinate system into a virtual mathematical platform coordinate system according to a first conversion formula to obtain a first error parameter; the first error parameters are converted to a resolving mathematic platform for resolving according to the second conversion formula, the calibration of the inertia measurement unit is not restricted by a carrier structure or an installation form by establishing a virtual mathematic platform coordinate system, a resolving calibration task in the virtual mathematic platform coordinate system can be realized under the condition of not damaging a system hardware structure, a resolving calibration result is mapped to the resolving mathematic platform coordinate system for observation, and the observability and the convenience of resolving calibration of the error parameters are improved.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. An inertial navigation system resolving method is characterized by comprising the following steps:
establishing a virtual mathematic platform coordinate system, and obtaining a first conversion formula between the virtual mathematic platform coordinate system and a resolving mathematic platform coordinate system;
converting original data of an inertial measurement unit for calculating a mathematical platform coordinate system into a virtual mathematical platform coordinate system according to a first conversion formula for observation to obtain a first error parameter;
and converting the first error parameter into a resolving mathematical platform coordinate system according to a second conversion formula for resolving.
2. The inertial navigation system resolving method according to claim 1, wherein in the step of establishing a virtual mathematic platform coordinate system and obtaining a first conversion formula between the virtual mathematic platform coordinate system and the resolved mathematic platform coordinate system, the resolved mathematic platform coordinate system includes a reference coordinate system, a gyro coordinate system to be calibrated, and an accelerometer coordinate system to be calibrated, the virtual mathematic platform coordinate system includes a virtual reference coordinate system, a virtual gyro coordinate system, and a virtual accelerometer coordinate system, wherein the reference coordinate system and the virtual reference coordinate system are orthogonal coordinate systems, and the gyro coordinate system to be calibrated, the accelerometer coordinate system to be calibrated, the virtual gyro coordinate system, and the virtual accelerometer coordinate system are non-orthogonal coordinate systems.
3. The inertial navigation system solution method according to claim 2, wherein in the step of converting the raw data of the inertial measurement unit, which is used to solve the mathematical platform coordinate system, into the virtual mathematical platform coordinate system according to a first conversion formula, and obtaining the first error parameter, the first conversion formula is:
Figure 868848DEST_PATH_IMAGE001
wherein p is a reference table coordinate system; p is a radical of 1 A virtual reference table coordinate system; g is a gyroscope coordinate system to be calibrated; g 1 Is a virtual gyro coordinate system, and is characterized in that,aan accelerometer coordinate system to be calibrated;a 1 in order to be a virtual accelerometer coordinate system,
Figure 210836DEST_PATH_IMAGE002
a matrix is transformed from the accelerometer body coordinate system to the virtual accelerometer body coordinate system,
Figure 948985DEST_PATH_IMAGE003
a matrix is converted from the gyro body coordinate system to the virtual gyro body coordinate system,
Figure 468959DEST_PATH_IMAGE004
and converting the matrix from the reference table coordinate system to the virtual reference table coordinate system.
4. The inertial navigation system solution method according to claim 3, wherein in the observation step, the first error parameter comprises a first gyro error parameter according to a second conversion formula, the second conversion formula comprises a first sub-conversion formula for converting the first gyro error parameter to a solution mathematic platform coordinate system, and the first sub-conversion formula is:
Figure 925348DEST_PATH_IMAGE005
wherein the content of the first and second substances,
Figure 306913DEST_PATH_IMAGE006
is a scale factor of a gyroscope coordinate system,
Figure 899569DEST_PATH_IMAGE007
for the installation error of the gyro coordinate system,
Figure 324865DEST_PATH_IMAGE008
is a scale factor of the virtual gyro coordinate system,
Figure 268550DEST_PATH_IMAGE009
setting errors for a virtual gyro coordinate system;
wherein the content of the first and second substances,
Figure 952341DEST_PATH_IMAGE010
Figure 665082DEST_PATH_IMAGE011
Figure 526859DEST_PATH_IMAGE012
are respectively the scale factors of the gyro coordinate system,
Figure 692261DEST_PATH_IMAGE013
Figure 412699DEST_PATH_IMAGE014
Figure 245526DEST_PATH_IMAGE015
respectively, are scale factors of a virtual gyro coordinate system,
Figure 278204DEST_PATH_IMAGE016
Figure 930902DEST_PATH_IMAGE017
Figure 956496DEST_PATH_IMAGE018
Figure 643829DEST_PATH_IMAGE019
Figure 847409DEST_PATH_IMAGE020
Figure 987403DEST_PATH_IMAGE021
respectively, the installation errors of the gyro coordinate system,
Figure 160895DEST_PATH_IMAGE022
Figure 328834DEST_PATH_IMAGE023
Figure 827948DEST_PATH_IMAGE024
Figure 330605DEST_PATH_IMAGE025
Figure 573367DEST_PATH_IMAGE026
Figure 94347DEST_PATH_IMAGE027
respectively, the virtual gyro coordinate system installation errors.
5. The inertial navigation system solution method according to claim 3, wherein in the step of performing the solution by converting the first error parameter to a solution math platform coordinate system according to a second conversion formula, the first error parameter comprises a first accelerometer error parameter, the second conversion formula comprises a second sub-conversion formula for converting the first accelerometer error parameter to the solution math platform coordinate system, and the second sub-conversion formula is:
Figure 764363DEST_PATH_IMAGE028
wherein the content of the first and second substances,
Figure 488737DEST_PATH_IMAGE029
is a scaling factor for the accelerometer coordinate system,
Figure 535190DEST_PATH_IMAGE030
in order to provide for mounting errors in the accelerometer coordinate system,
Figure 409212DEST_PATH_IMAGE031
is a scale factor of the virtual accelerometer coordinate system,
Figure 250129DEST_PATH_IMAGE032
mounting errors for a virtual accelerometer coordinate system;
wherein the content of the first and second substances,
Figure 727378DEST_PATH_IMAGE033
Figure 311943DEST_PATH_IMAGE034
Figure 807515DEST_PATH_IMAGE035
respectively, are the scale factors of the accelerometer coordinate system,
Figure 553754DEST_PATH_IMAGE036
Figure 783878DEST_PATH_IMAGE037
Figure 640976DEST_PATH_IMAGE038
respectively, the scale factors of the coordinate system of the virtual accelerometer,
Figure 866421DEST_PATH_IMAGE039
Figure 940818DEST_PATH_IMAGE040
Figure 251714DEST_PATH_IMAGE041
Figure 53448DEST_PATH_IMAGE042
Figure 398979DEST_PATH_IMAGE043
Figure 877233DEST_PATH_IMAGE044
respectively the installation error of the coordinate system of the accelerometer,
Figure 675425DEST_PATH_IMAGE045
Figure 15271DEST_PATH_IMAGE046
Figure 480887DEST_PATH_IMAGE047
Figure 753212DEST_PATH_IMAGE048
Figure 38700DEST_PATH_IMAGE049
Figure 182236DEST_PATH_IMAGE050
respectively, the installation error of the virtual accelerometer coordinate system.
6. The inertial navigation system solution method according to claim 1, wherein the step of converting raw data of an inertial measurement unit for solving a mathematical platform coordinate system into a virtual mathematical platform coordinate system according to a first conversion formula for observation to obtain a first error parameter comprises:
and carrying out rotation excitation sequence processing on the original data converted into the virtual mathematical platform coordinate system, and estimating a first error parameter in the virtual mathematical platform coordinate system by using a Kalman filter.
7. The inertial navigation system solution method according to claim 6, wherein the step of performing a rotation excitation sequence process on the raw data converted into the virtual math platform coordinate system, and estimating error parameters in the virtual math platform coordinate system by using a kalman filter, comprises:
and predicting the error state through an error equation of the Kalman filter, updating the predicted error state through an observation equation of the Kalman filter, and resolving and calibrating the first error parameter.
8. The inertial navigation system solution method according to claim 1, further comprising the steps of:
and converting the second error parameter directly obtained by resolving the mathematical platform coordinate system into a virtual mathematical platform coordinate system according to a third conversion formula, and verifying the second error parameter through the virtual mathematical platform coordinate system.
9. The inertial navigation system solution method according to claim 8, wherein the second error parameter comprises a second gyro error parameter, and the third transformation comprises a third sub-transformation transforming the second gyro error parameter into the virtual mathematical platform coordinate system, the third sub-transformation being:
Figure 236780DEST_PATH_IMAGE051
wherein the content of the first and second substances,
Figure 823882DEST_PATH_IMAGE052
is a gyro scale factor;
Figure 596665DEST_PATH_IMAGE053
is a gyro mounting error.
10. The inertial navigation system solution method according to claim 8, wherein the second error parameter comprises a second accelerometer error parameter, the third transformation comprises a fourth sub-transformation transforming the second accelerometer error parameter to a virtual mathematical platform coordinate system, the fourth sub-transformation being:
Figure 278314DEST_PATH_IMAGE054
wherein the content of the first and second substances,
Figure 452943DEST_PATH_IMAGE052
scaling a factor for an accelerometer;
Figure 443902DEST_PATH_IMAGE055
an accelerometer installation error.
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