CN107655493A - A kind of position system level scaling methods of optical fibre gyro SINS six - Google Patents
A kind of position system level scaling methods of optical fibre gyro SINS six Download PDFInfo
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- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
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Abstract
The invention discloses a kind of position system level scaling methods of optical fibre gyro SINS six, this is by analyzing inertia component erroi propagation law, the rotation in six-position of turntable is designed, system speed error and attitude error is calculated, estimation is filtered to every error by Kalman filter.Beneficial effects of the present invention are:The error of zero, scale factor error and the alignment error of the error of zero of optical fibre gyro, scale factor error, alignment error and accelerometer can be calibrated exactly based on system level approach;The present invention gives most easy position arrangement, while the reason for give calibration position layout, calibration principle is clear, can disposably demarcate.
Description
Technical field
The present invention relates to calibration technique field, especially a kind of position system level scaling methods of optical fibre gyro SINS six.
Background technology
Strapdown inertial navigation system is a kind of using gyro and the angular movement of accelerometer measures carrier and line motion, by product
Partite transport is calculated and obtains carrier transient posture, speed and the navigation equipment of position, and it fully relies on the inertia component of itself and completes navigation
Task, it is a kind of entirely autonomous navigation system without relying on any external information.SINS is due to its independence
Height, good concealment, it is round-the-clock, stability is good and short-term accuracy is high the advantages that, be widely used in science and techniques of defence field.Strapdown is used to
The characteristics of guiding systems is to substitute the physical platform of gimbaled inertial navigation with mathematical platform come analogue navigation coordinate system, due to it
It is dead reckoning system in matter, its error can be increased over time and accumulated.
It can be seen from the principle of strapdown inertial navigation, its key technology includes inertia type instrument technology, inertia component erroi
Compensation technique, Initial Alignment Technique and strap-down matrix more new algorithm.Inertia component erroi accounts for 90% of systematic error or so, inertia
The method of component erroi compensation technique is exactly to demarcate.The purpose of demarcation is to determine the error of inertia component, and calibrated error is mended
Repay in inertia component, improve the navigation accuracy of system.At present, used fiber-optic gyroscope calibration method is mainly discrete mark
Fixed and systematic calibration.Discrete demarcation is usually to provide position and speed reference by high precision turntable;Systematic calibration master
If by observing the anti-parameters released in error model of navigation error.This method is based on navigation calculation, to turntable
Required precision it is very low, but this method principle is complicated, and the general nominal time is longer.
Optical fibre gyro is one kind of optical gyroscope, is the sensor for detecting angular speed.Optical fibre gyro is using Sagnac
Principle of interference, it is coiled into annular light path with optical fiber and detects the phase with rotation and between the two-way laser beam of caused anti-phase rotation
Potential difference, thus calculate the angular speed of rotation.Optical fibre gyro has the difference of essence with traditional mechanical gyro in principle, has
The advantages of mechanical gyro is incomparable, it is used widely at present in inertial guidance and navigation field.
The content of the invention
The technical problems to be solved by the invention are, there is provided a kind of position system level demarcation sides of optical fibre gyro SINS six
Method, the various errors of optical fibre gyro can be calibrated exactly, calibration principle is clear, can disposably demarcate.
In order to solve the above technical problems, the present invention provides a kind of position system level scaling methods of optical fibre gyro SINS six, bag
Include following steps:
(1) inertia component is arranged on turntable, inertia component is initially oriented east-north-day;Inertia component is powered pre-
Heat, set the sampling period;
(2) start to gather inertia module data and establish inertia component erroi model and SINS error model;
(3) initial position of inertia component setting in step (1) is stood 1 minute and carry out static navigational, then make to be used to
Property component with 10 °/angular speed rotate forward 180 ° around X-axis, make inertia component is oriented Dong-south-ground, and stands 1 minute
Carry out static navigational;
(4) inertia component is made to rotate forward 90 ° around X-axis, make inertia component is oriented east-ground-north, and stands 1 minute
Carry out static navigational, followed by inertia component with 10 °/angular speed rotate forward 180 ° about the z axis, make being oriented for inertia component
West-day-north, and stand 1 minute and carry out static navigational;
(5) inertia component is made to rotate forward 90 ° about the z axis, make inertia component is oriented day-east-north, and stands 1 minute
Carry out static navigational, followed by inertia component with 10 °/angular speed rotate forward 180 ° around Y-axis, make being oriented for inertia component
Ground-Dong-south, and stand 1 minute and carry out static navigational, number is adopted in stopping;
(6) offline navigation calculation, and computing system velocity error and attitude error are carried out to the data of inertia component collection;
(7) design Kalman filter is filtered estimation to inertia component erroi;
(8) step (1) is repeated to step (5), repeats all change different angular velocity of rotations every time;To every
The secondary data that collect of repeating carry out navigation calculation and Kalman Filter Estimation, under the different angular speed that are calculated
Inertia component erroi results averaged, as final result.
Preferably, in step (1), sampling period T=0.005s.
Preferably, in step (2), establishing inertia component erroi model is specially:By the alignment error of optical fibre gyro, scale
System errors and constant value drift are built into gyroscope error model, obtain:
In formula, n is navigational coordinate system;B is carrier coordinate system;I is inertial coodinate system;εbFloated for constant value under carrier coordinate system
Move;For the transformation matrix from carrier coordinate system to navigational coordinate system;For the output of gyro;[δKG] be gyro scale system
Number error,[δ G] is alignment error,
The alignment error of accelerometer, scale coefficient error and constant value drift are built into accelerometer error model, obtained:
In formula,For constant value drift under carrier coordinate system;fbFor the output of accelerometer;[δKA] be accelerometer scale system
Number error,[δ A] is alignment error,
Establishing attitude error equations is:
In formula, φ is attitude error angle vector;Sat for the angular speed of navigational coordinate system relative inertness coordinate system in navigation
Projection under mark system;For navigational coordinate system relative inertness coordinate system rotational angular velocity calculation error;Missed for gyroscope
Projection of the difference under navigational coordinate system;
Establishing velocity error equation is:
In formula, φnFor attitude error angle under navigational coordinate system;fnFor the output of accelerometer under navigational coordinate system;For
Projection of the accelerometer error under navigational coordinate system;δVn=[δ VE δVN δVU]TFor east orientation, north orientation and sky orientation speed error;Follow projection of the geocyclic angular speed under navigational coordinate system;With respect to the earth caused by carrier movement
Projection of the angular velocity of rotation under navigational coordinate system;Vn=[VE VN VU]TFor east orientation, north orientation, sky orientation speed;With
For corresponding error.
Preferably, in step (3), the initial position of inertia component setting in step (1) is stood 1 minute and carry out static state
Navigation calculation, inertia component is rotated forward 180 ° around X-axis with 10 °/s angular speed, make inertia component be oriented east-
South-ground, and stand 1 minute progress static navigational and be specially:
Under the conditions of turntable, attitude error equations are savedExpression;The attitude error only as caused by gyro error
Equation can be written as form:
Velocity error equation can be written as form only as caused by accelerometer error:
East-north-day towards when:
Deploy:
Velocity error equation caused by accelerometer:
Deploy:
Rotated around X-axis, rotational angle is 180 °, and the rotational speed omega used during demarcation is about 10 °/s, and ω is much larger than earth rotation
Component ωie(15 °/h) and gyro zero bias, so earth rotation component and gyro zero bias can be ignored, ωx≈ ω, ωy≈
0, ωz≈ 0, then have:
Deploy:
Various integrate above can be obtained:
After having rotated, Dong-south-ground towards when:
Velocity error equation caused by accelerometer:
Deploy:
Parsed to obtain accelerometer related excitation error term according to the velocity error in this step on two positions.
Preferably, in step (4), inertia component is rotated forward 90 ° around X-axis, make inertia component be oriented east-ground-
North, and stand 1 minute and carry out static navigational, followed by inertia component rotates forward 180 ° about the z axis with 10 °/s angular speed, makes
Inertia component is oriented west-day-north, and stands 1 minute progress static navigational and be specially:
East-ground-north towards when:
Deploy:
Rotate about the z axis, rotational angle is 180 °, ωx≈ 0, ωy≈ 0, ωz≈ ω, then have:
Deploy:
Various integrate above can be obtained:
After having rotated, west-day-north towards when:
Velocity error equation caused by accelerometer:
Deploy:
It can be parsed to obtain accelerometer related excitation error term according to the velocity error in this step on two positions.
Preferably, in step (5), inertia component is rotated forward 90 ° about the z axis, make inertia component be oriented day-east-
North, and stand 1 minute and carry out static navigational, followed by inertia component rotates forward 180 ° with 10 °/s angular speed around Y-axis, makes
Inertia component is oriented ground-Dong-south, and stands 1 minute and carry out static navigational, and stopping adopts number and is specially:
Day-east-north towards when:
Deploy:
Rotated around Y-axis, rotational angle is 180 °, ωx≈ 0, ωy≈ ω, ωz≈ 0, then have:
Deploy:
Various integrate above can be obtained:
After having rotated, on ground-Dong-south towards when:
Velocity error equation caused by accelerometer:
Deploy:
It can be parsed to obtain accelerometer related excitation error term according to the velocity error in this step on two positions.
Preferably, in step (6), offline navigation calculation, and computing system speed are carried out to the data of inertia component collection
Error and attitude error are specially;First according to gyro in above-mentioned steps and accelerometer measures obtain relative to inertial coordinate
The angular speed and specific force of system fasten projection in carrier;Afterwards, changed by coordinate system, obtain carrier angular speed and specific force and navigating
Projected on coordinate system, by once integrating, carrier can be obtained relative to the transient posture angle of navigational coordinate system and linear velocity;Attitude angle
True value can be provided by turntable, and speed true value is set to 0.
Preferably, in step (7), design Kalman filter is filtered estimation to inertia component erroi and is specially:
Establish optical fibre gyro system level demarcation Kalman filtering state equation:
In formula,
A1=[A11 A12 A13 A14]
In formula,For random disturbances caused by gyro;Tij(i,j
=1,2,3) it is attitude matrixCorresponding element.
Establish corresponding measurement equation:
Z1(t)=H1X1(t)+V(t)
In formula,
In formula, θI、γI、ψIThe angle of pitch, roll angle and the course angle information that respectively navigation calculation obtains;θz、γZ、ψZPoint
Wei not turntable posture true value;δ θ, δ γ, δ ψ are respectively the error between navigation calculation and turntable true value;V (t) makes an uproar for system measurements
Sound;
Establish accelerometer system level demarcation Kalman filtering state equation:
In formula,
A2=[A21 A22 A23 A24]
In formula,For random disturbances caused by accelerometer;
Tij(i, j=1,2,3) is attitude matrixCorresponding element;
Establish corresponding measurement equation:
Z2(t)=Vn(t) -0=H2X2(t)+V(t)
In formula,
Z2(t)=[δ VE δVN δVU]T
In formula, δ VE、δVN、δVUError between navigation calculation and true value;V (t) is system measurements noise;With step
(3) SYSTEM ERROR MODEL establishes 24 dimension Kalman filter in, and inertia component items error is demarcated;Filtered using Kalman
Ripple device principle, every error parameter in quantity of state is estimated, complete the identification to inertia component items error parameter.
Preferably, in step (8), the span of angular velocity of rotation for 10 °/- 30 °/.
Beneficial effects of the present invention are:The error of zero of optical fibre gyro can be calibrated exactly based on system level approach, carved
Spend the error of zero, scale factor error and the alignment error of factor error, alignment error and accelerometer;The present invention gives most
Easy position arrangement, while the reason for give calibration position layout, calibration principle is clear, can disposably demarcate.
Brief description of the drawings
Fig. 1 is the scaling method intermediate station rotating path layout schematic diagram of the present invention.
Embodiment
Turntable rotating path layout schematic diagram as shown in Figure 1, the rotation in six-position of the invention by designing turntable, calculate
System speed error is obtained, inertia component erroi parameter is estimated by Kalman filter, in order to ensure final calibration result
Accuracy, turntable carry out rotation in six-position in triplicate, and using the inertia component erroi being calculated three times carry out it is average as
Final calibration result, specific scaling method are as follows:
Step 1:Inertia component is arranged on turntable, inertia component is initially oriented east-north-day;Inertia component is powered
Preheating, set the sampling period;
Step 2:Start to gather inertia module data and establish inertia component erroi model and SINS error mould
Type;
The alignment error of optical fibre gyro, scale coefficient error and constant value drift are built into gyroscope error model, obtained:
In formula, n is navigational coordinate system;B is carrier coordinate system;I is inertial coodinate system;εbFloated for constant value under carrier coordinate system
Move;For the transformation matrix from carrier coordinate system to navigational coordinate system;For the output of gyro;[δKG] be gyro scale system
Number error,[δ G] is alignment error,
The alignment error of accelerometer, scale coefficient error and constant value drift are built into accelerometer error model, obtained:
In formula,For constant value drift under carrier coordinate system;fbFor the output of accelerometer;[δKA] be accelerometer scale
System errors,[δ A] is alignment error,
Establishing attitude error equations is:
In formula, φ is attitude error angle vector;Sat for the angular speed of navigational coordinate system relative inertness coordinate system in navigation
Projection under mark system;For navigational coordinate system relative inertness coordinate system rotational angular velocity calculation error;Missed for gyroscope
Projection of the difference under navigational coordinate system;
Establishing velocity error equation is:
In formula, φnFor attitude error angle under navigational coordinate system;fnFor the output of accelerometer under navigational coordinate system;For
Projection of the accelerometer error under navigational coordinate system;δVn=[δ VE δVN δVU]TFor east orientation, north orientation and sky orientation speed error;Follow projection of the geocyclic angular speed under navigational coordinate system;With respect to the earth caused by carrier movement
Projection of the angular velocity of rotation under navigational coordinate system;Vn=[VE VN VU]TFor east orientation, north orientation, sky orientation speed;With
For corresponding error;
Under the conditions of only considering turntable, now, the accurate geographic position information of SINS be it is knowable, therefore
We only need to settle accounts stance loop, it is not necessary to speed and position loop are resolved, and attitude algorithm error is only
It is relevant with gyro error.Simultaneously because turntable can provide accurate attitude information, and therefore, when considering velocity error equation,
The aceleration of transportation can be ignored.
Step 3:The initial position for making inertia component be set in step 1 stands 1 minute and carries out static navigational resolving, so
Make afterwards inertia component with 10 °/angular speed rotate forward 180 ° around X-axis, make inertia component is oriented Dong-south-ground, and stands
Carry out static navigational within 1 minute;
Due to being under the conditions of turntable, analyze for convenience, attitude error equations are savedExpression.
Attitude error equations can be written as form only as caused by gyro error:
Velocity error equation can be written as form only as caused by accelerometer error:
East-north-day towards when:
Deploy:
Velocity error equation caused by accelerometer:
Deploy:
Being rotated around X-axis, rotational angle is 180 °, the rotational speed omega used during demarcation is about 10 °/, ω is much larger than earth rotation
Component ωie(15 °/h) and gyro zero bias, so earth rotation component and gyro zero bias can be ignored, ωx≈ ω, ωy≈
0, ωz≈ 0, then have:
Deploy:
Various integrate above can be obtained:
After having rotated, Dong-south-ground towards when:
Velocity error equation caused by accelerometer:
Deploy:
It can be parsed to obtain accelerometer related excitation error term according to the velocity error in this step on two positions.
Step 4:Inertia component is set to rotate forward 90 ° around X-axis, make inertia component is oriented east-ground-north, and stands 1
Minute carry out static navigational, followed by inertia component with 10 °/angular speed rotate forward 180 ° about the z axis, make the court of inertia component
Xiang Weixi-day-north, and stand 1 minute and carry out static navigational;
East-ground-north towards when:
Deploy:
Rotate about the z axis, rotational angle is 180 °, ωx≈ 0, ωy≈ 0, ωz≈ ω, then have:
Deploy:
Various integrate above can be obtained:
After having rotated, west-day-north towards when:
Velocity error equation caused by accelerometer:
Deploy:
It can be parsed to obtain accelerometer related excitation error term according to the velocity error in this step on two positions.
Step 5:Inertia component is set to rotate forward 90 ° about the z axis, make inertia component is oriented day-east-north, and stands 1
Minute carry out static navigational, followed by inertia component with 10 °/angular speed rotate forward 180 ° around Y-axis, make the court of inertia component
To for ground-Dong-south, and stand 1 minute and carry out static navigational, number is adopted in stopping.
Day-east-north towards when:
Deploy:
Rotated around Y-axis, rotational angle is 180 °, ωx≈ 0, ωy≈ ω, ωz≈ 0, then have:
Deploy:
Various integrate above can be obtained:
After having rotated, on ground-Dong-south towards when:
Velocity error equation caused by accelerometer:
Deploy:
It can be parsed to obtain accelerometer related excitation error term according to the velocity error in this step on two positions.
Step 6:Offline navigation calculation, and computing system velocity error and posture are carried out to the data of inertia component collection
Error;
First according to gyro in above-mentioned steps and accelerometer measures obtain relative to inertial coodinate system angular speed and
Specific force fastens projection in carrier.Afterwards, changed by coordinate system, obtain carrier angular speed and specific force in navigational coordinate system upslide
Shadow, by once integrating, carrier can be obtained relative to the transient posture angle of navigational coordinate system and linear velocity.Attitude angle true value can be by turning
Platform provides, and speed true value is set to 0.
Step 7:Design Kalman filter is filtered estimation to inertia component erroi;
Establish optical fibre gyro system level demarcation Kalman filtering state equation:
In formula,
A1=[A11 A12 A13 A14]
In formula,For random disturbances caused by gyro;Tij(i,j
=1,2,3) it is attitude matrixCorresponding element.
Establish corresponding measurement equation:
Z1(t)=H1X1(t)+V(t)
In formula,
In formula, θi、γI、ψIThe angle of pitch, roll angle and the course angle information that respectively navigation calculation obtains;θz、γz、ψZPoint
Wei not turntable posture true value;δ θ, δ γ, δ ψ are respectively the error between navigation calculation and turntable true value;V (t) makes an uproar for system measurements
Sound.
Establish accelerometer system level demarcation Kalman filtering state equation:
In formula,
A2=[A21 A22 A23 A24]
In formula,For random disturbances caused by accelerometer;
Tij(i, j=1,2,3) is attitude matrixCorresponding element.
Establish corresponding measurement equation:
Z2(t)=Vn(t) -0=H2X2(t)+V(t)
In formula,
Z2(t)=[δ VE δVN δVU]T
In formula, δ VE、δVN、δVUError between navigation calculation and true value;V (t) is system measurements noise.
24 dimension Kalman filter are established with SYSTEM ERROR MODEL in step 3, inertia component items error is demarcated
Using Kalman filter principle, every error parameter in quantity of state is estimated, completed each to inertia component
The identification of item error parameter.
Step 8:Step 1 is repeated to step 5, repeats all change different angular velocity of rotations every time;It is right
The data collected are repeated every time carries out navigation calculation and Kalman Filter Estimation, method and step 6 and step 7 phase
Together;To the inertia component erroi results averaged under the different angular speed that are calculated, as final result.
Although the present invention is illustrated and described with regard to preferred embodiment, it is understood by those skilled in the art that
Without departing from scope defined by the claims of the present invention, variations and modifications can be carried out to the present invention.
Claims (9)
1. a kind of position system level scaling methods of optical fibre gyro SINS six, it is characterised in that comprise the following steps:
(1) inertia component is arranged on turntable, inertia component is initially oriented east-north-day;Inertia component, which is powered, to be preheated, if
Determine the sampling period;
(2) start to gather inertia module data and establish inertia component erroi model and SINS error model;
(3) initial position of inertia component setting in step (1) is stood 1 minute and carry out static navigational, then make inertia group
Part with 10 °/angular speed rotate forward 180 ° around X-axis, make inertia component is oriented Dong-south-ground, and stands 1 minute and carry out
Static navigational;
(4) inertia component is made to rotate forward 90 ° around X-axis, make inertia component is oriented east-ground-north, and stands 1 minute and carry out
Static navigational, followed by inertia component with 10 °/angular speed rotate forward 180 ° about the z axis, make inertia component be oriented west-
My god-north, and stand 1 minute and carry out static navigational;
(5) inertia component is made to rotate forward 90 ° about the z axis, make inertia component is oriented day-east-north, and stands 1 minute and carry out
Static navigational, followed by inertia component with 10 °/angular speed rotate forward 180 ° around Y-axis, make inertia component be oriented ground-
Dong-south, and stand 1 minute and carry out static navigational, number is adopted in stopping;
(6) offline navigation calculation, and computing system velocity error and attitude error are carried out to the data of inertia component collection;
(7) design Kalman filter is filtered estimation to inertia component erroi;
(8) step (1) is repeated to step (5), repeats all change different angular velocity of rotations every time;To weight every time
The data that collect are performed again and carry out navigation calculation and Kalman Filter Estimation, to used under the different angular speed that are calculated
Property component erroi results averaged, as final result.
2. the position system level scaling methods of optical fibre gyro SINS six as claimed in claim 1, it is characterised in that in step (1),
Sampling period is T=0.005s.
3. the position system level scaling methods of optical fibre gyro SINS six as claimed in claim 1, it is characterised in that in step (2),
Establishing inertia component erroi model is specially:The alignment error of optical fibre gyro, scale coefficient error and constant value drift are built into top
Spiral shell error model, is obtained:
In formula, n is navigational coordinate system;B is carrier coordinate system;I is inertial coodinate system;εbFor constant value drift under carrier coordinate system;For the transformation matrix from carrier coordinate system to navigational coordinate system;For the output of gyro;[δKG] be gyro calibration factor
Error,[δ G] is alignment error,
The alignment error of accelerometer, scale coefficient error and constant value drift are built into accelerometer error model, obtained:
In formula,For constant value drift under carrier coordinate system;fbFor the output of accelerometer;[δKA] be accelerometer calibration factor
Error,[δ A] is alignment error,
Establishing attitude error equations is:
In formula, φ is attitude error angle vector;For navigational coordinate system relative inertness coordinate system angular speed in navigational coordinate system
Under projection;For navigational coordinate system relative inertness coordinate system rotational angular velocity calculation error;Exist for gyro error
Projection under navigational coordinate system;
Establishing velocity error equation is:
In formula, φnFor attitude error angle under navigational coordinate system;fnFor the output of accelerometer under navigational coordinate system;To accelerate
Projection of the degree meter error under navigational coordinate system;δVn=[δ VE δVN δVU]TFor east orientation, north orientation and sky orientation speed error;With
With projection of the geocyclic angular speed under navigational coordinate system;Relative to the rotation of the earth caused by carrier movement
Projection of the angular speed under navigational coordinate system;Vn=[VE VN VU]TFor east orientation, north orientation, sky orientation speed;WithFor phase
The error answered.
4. the position system level scaling methods of optical fibre gyro SINS six as claimed in claim 1, it is characterised in that in step (3),
The initial position of inertia component setting in the step (1) is stood 1 minute and carry out static navigational resolving, then make inertia component with
10 °/s angular speed rotates forward 180 ° around X-axis, and make inertia component is oriented Dong-south-ground, and stands 1 minute and carry out static state
Navigation is specially:
Under the conditions of turntable, attitude error equations are savedExpression;The attitude error equations only as caused by gyro error
Form can be written as:
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<mover>
<mi>&phi;</mi>
<mo>&CenterDot;</mo>
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<mi>&phi;</mi>
<mo>&CenterDot;</mo>
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<mi>N</mi>
</msub>
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<mi>&phi;</mi>
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<mi>U</mi>
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<mi>&delta;K</mi>
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<mi>G</mi>
<mi>z</mi>
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<mfenced open = "[" close = "]">
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</mfenced>
<mo>)</mo>
</mrow>
</mrow>
Velocity error equation can be written as form only as caused by accelerometer error:
<mrow>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>E</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>N</mi>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>U</mi>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>=</mo>
<msubsup>
<mi>C</mi>
<mi>b</mi>
<mi>n</mi>
</msubsup>
<mrow>
<mo>(</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mrow>
<msub>
<mi>&delta;K</mi>
<mrow>
<mi>A</mi>
<mi>x</mi>
</mrow>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;A</mi>
<mi>z</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<mo>-</mo>
<msub>
<mi>&delta;A</mi>
<mi>y</mi>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mo>-</mo>
<msub>
<mi>&delta;A</mi>
<mi>z</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;K</mi>
<mrow>
<mi>A</mi>
<mi>y</mi>
</mrow>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;A</mi>
<mi>x</mi>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<msub>
<mi>&delta;G</mi>
<mi>y</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<mo>-</mo>
<msub>
<mi>&delta;A</mi>
<mi>x</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;K</mi>
<mrow>
<mi>A</mi>
<mi>z</mi>
</mrow>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<msub>
<mi>f</mi>
<mi>x</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<msub>
<mi>f</mi>
<mi>y</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<msub>
<mi>f</mi>
<mi>z</mi>
</msub>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>+</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<msub>
<mo>&dtri;</mo>
<mi>x</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<msub>
<mo>&dtri;</mo>
<mi>y</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<msub>
<mo>&dtri;</mo>
<mi>z</mi>
</msub>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>)</mo>
</mrow>
</mrow>
East-north-day towards when:
Deploy:
Velocity error equation caused by accelerometer:
<mrow>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>E</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>N</mi>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>U</mi>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>=</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mn>1</mn>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mn>1</mn>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mn>1</mn>
</mtd>
</mtr>
</mtable>
</mfenced>
<mrow>
<mo>(</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mrow>
<msub>
<mi>&delta;K</mi>
<mrow>
<mi>A</mi>
<mi>x</mi>
</mrow>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;A</mi>
<mi>z</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<mo>-</mo>
<msub>
<mi>&delta;A</mi>
<mi>y</mi>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mo>-</mo>
<msub>
<mi>&delta;A</mi>
<mi>z</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;K</mi>
<mrow>
<mi>A</mi>
<mi>y</mi>
</mrow>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;A</mi>
<mi>x</mi>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<msub>
<mi>&delta;G</mi>
<mi>y</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<mo>-</mo>
<msub>
<mi>&delta;A</mi>
<mi>x</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;K</mi>
<mrow>
<mi>A</mi>
<mi>z</mi>
</mrow>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mi>g</mi>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>+</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<msub>
<mo>&dtri;</mo>
<mi>x</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<msub>
<mo>&dtri;</mo>
<mi>y</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<msub>
<mo>&dtri;</mo>
<mi>z</mi>
</msub>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>)</mo>
</mrow>
</mrow>
Deploy:
<mfenced open = "{" close = "">
<mtable>
<mtr>
<mtd>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>E</mi>
</msub>
<mo>=</mo>
<mo>-</mo>
<mi>&delta;</mi>
<msub>
<mi>A</mi>
<mi>y</mi>
</msub>
<mo>&CenterDot;</mo>
<mi>g</mi>
<mo>+</mo>
<msub>
<mo>&dtri;</mo>
<mi>x</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>N</mi>
</msub>
<mo>=</mo>
<msub>
<mi>&delta;A</mi>
<mi>x</mi>
</msub>
<mo>&CenterDot;</mo>
<mi>g</mi>
<mo>+</mo>
<msub>
<mo>&dtri;</mo>
<mi>y</mi>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>U</mi>
</msub>
<mo>=</mo>
<msub>
<mi>&delta;K</mi>
<mrow>
<mi>A</mi>
<mi>z</mi>
</mrow>
</msub>
<mo>&CenterDot;</mo>
<mi>g</mi>
<mo>+</mo>
<msub>
<mo>&dtri;</mo>
<mi>z</mi>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
Rotated around X-axis, rotational angle is 180 °, and the rotational speed omega used during demarcation is about 10 °/s, and ω is much larger than earth rotation component
ωie(15 °/h) and gyro zero bias, so earth rotation component and gyro zero bias can be ignored, ωx≈ ω, ωy≈ 0, ωz
≈ 0, then have:
Deploy:
Various integrate above can be obtained:
After having rotated, Dong-south-ground towards when:
Velocity error equation caused by accelerometer:
<mrow>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>E</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>N</mi>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>U</mi>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>=</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mn>1</mn>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mrow>
<mo>-</mo>
<mn>1</mn>
</mrow>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mrow>
<mo>-</mo>
<mn>1</mn>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mrow>
<mo>(</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mrow>
<msub>
<mi>&delta;K</mi>
<mrow>
<mi>A</mi>
<mi>x</mi>
</mrow>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;A</mi>
<mi>z</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<mo>-</mo>
<msub>
<mi>&delta;A</mi>
<mi>y</mi>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mo>-</mo>
<msub>
<mi>&delta;A</mi>
<mi>z</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;K</mi>
<mrow>
<mi>A</mi>
<mi>y</mi>
</mrow>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;A</mi>
<mi>x</mi>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<msub>
<mi>&delta;G</mi>
<mi>y</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<mo>-</mo>
<msub>
<mi>&delta;A</mi>
<mi>x</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;K</mi>
<mrow>
<mi>A</mi>
<mi>z</mi>
</mrow>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mo>-</mo>
<mi>g</mi>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>+</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<msub>
<mo>&dtri;</mo>
<mi>x</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<msub>
<mo>&dtri;</mo>
<mi>y</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<msub>
<mo>&dtri;</mo>
<mi>z</mi>
</msub>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>)</mo>
</mrow>
</mrow>
Deploy:
<mfenced open = "{" close = "">
<mtable>
<mtr>
<mtd>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>E</mi>
</msub>
<mo>=</mo>
<mi>&delta;</mi>
<msub>
<mi>A</mi>
<mi>y</mi>
</msub>
<mo>&CenterDot;</mo>
<mi>g</mi>
<mo>+</mo>
<msub>
<mo>&dtri;</mo>
<mi>x</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>N</mi>
</msub>
<mo>=</mo>
<msub>
<mi>&delta;A</mi>
<mi>x</mi>
</msub>
<mo>&CenterDot;</mo>
<mi>g</mi>
<mo>-</mo>
<msub>
<mo>&dtri;</mo>
<mi>y</mi>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>U</mi>
</msub>
<mo>=</mo>
<msub>
<mi>&delta;K</mi>
<mrow>
<mi>A</mi>
<mi>z</mi>
</mrow>
</msub>
<mo>&CenterDot;</mo>
<mi>g</mi>
<mo>-</mo>
<msub>
<mo>&dtri;</mo>
<mi>z</mi>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
Parsed to obtain accelerometer related excitation error term according to the velocity error in this step on two positions.
5. the position system level scaling methods of optical fibre gyro SINS six as claimed in claim 1, it is characterised in that in step (4),
Inertia component is set to rotate forward 90 ° around X-axis, make inertia component is oriented east-ground-north, and stands 1 minute progress static state and lead
Boat, followed by inertia component rotates forward 180 ° about the z axis with 10 °/s angular speed, make inertia component is oriented west-day-north,
And stand 1 minute progress static navigational and be specially:
East-ground-north towards when:
<mrow>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>E</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>N</mi>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>U</mi>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>=</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mn>1</mn>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mrow>
<mo>-</mo>
<mn>1</mn>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mn>1</mn>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
</mtr>
</mtable>
</mfenced>
<mrow>
<mo>(</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mrow>
<msub>
<mi>&delta;K</mi>
<mrow>
<mi>A</mi>
<mi>x</mi>
</mrow>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;A</mi>
<mi>z</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<mo>-</mo>
<msub>
<mi>&delta;A</mi>
<mi>y</mi>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mo>-</mo>
<msub>
<mi>&delta;A</mi>
<mi>z</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;K</mi>
<mrow>
<mi>A</mi>
<mi>y</mi>
</mrow>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;A</mi>
<mi>x</mi>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<msub>
<mi>&delta;G</mi>
<mi>y</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<mo>-</mo>
<msub>
<mi>&delta;A</mi>
<mi>x</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;K</mi>
<mrow>
<mi>A</mi>
<mi>z</mi>
</mrow>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mo>-</mo>
<mi>g</mi>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>+</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<msub>
<mo>&dtri;</mo>
<mi>x</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<msub>
<mo>&dtri;</mo>
<mi>y</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<msub>
<mo>&dtri;</mo>
<mi>z</mi>
</msub>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>)</mo>
</mrow>
</mrow>
Deploy:
<mfenced open = "{" close = "">
<mtable>
<mtr>
<mtd>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>E</mi>
</msub>
<mo>=</mo>
<mo>-</mo>
<mi>&delta;</mi>
<msub>
<mi>A</mi>
<mi>z</mi>
</msub>
<mo>&CenterDot;</mo>
<mi>g</mi>
<mo>+</mo>
<msub>
<mo>&dtri;</mo>
<mi>x</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>N</mi>
</msub>
<mo>=</mo>
<mo>-</mo>
<msub>
<mi>&delta;A</mi>
<mi>x</mi>
</msub>
<mo>&CenterDot;</mo>
<mi>g</mi>
<mo>-</mo>
<msub>
<mo>&dtri;</mo>
<mi>y</mi>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>U</mi>
</msub>
<mo>=</mo>
<mo>-</mo>
<msub>
<mi>&delta;K</mi>
<mrow>
<mi>A</mi>
<mi>y</mi>
</mrow>
</msub>
<mo>&CenterDot;</mo>
<mi>g</mi>
<mo>+</mo>
<msub>
<mo>&dtri;</mo>
<mi>z</mi>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
Rotate about the z axis, rotational angle is 180 °, ωx≈ 0, ωy≈ 0, ωz≈ ω, then have:
Deploy:
Various integrate above can be obtained:
After having rotated, west-day-north towards when:
Velocity error equation caused by accelerometer:
<mrow>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>E</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>N</mi>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>U</mi>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>=</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mrow>
<mo>-</mo>
<mn>1</mn>
</mrow>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mn>1</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mn>1</mn>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
</mtr>
</mtable>
</mfenced>
<mrow>
<mo>(</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mrow>
<msub>
<mi>&delta;K</mi>
<mrow>
<mi>A</mi>
<mi>x</mi>
</mrow>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;A</mi>
<mi>z</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<mo>-</mo>
<msub>
<mi>&delta;A</mi>
<mi>y</mi>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mo>-</mo>
<msub>
<mi>&delta;A</mi>
<mi>z</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;K</mi>
<mrow>
<mi>A</mi>
<mi>y</mi>
</mrow>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;A</mi>
<mi>x</mi>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<msub>
<mi>&delta;G</mi>
<mi>y</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<mo>-</mo>
<msub>
<mi>&delta;A</mi>
<mi>x</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;K</mi>
<mrow>
<mi>A</mi>
<mi>z</mi>
</mrow>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mi>g</mi>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>+</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<msub>
<mo>&dtri;</mo>
<mi>x</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<msub>
<mo>&dtri;</mo>
<mi>y</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<msub>
<mo>&dtri;</mo>
<mi>z</mi>
</msub>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>)</mo>
</mrow>
</mrow>
Deploy:
<mfenced open = "{" close = "">
<mtable>
<mtr>
<mtd>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>E</mi>
</msub>
<mo>=</mo>
<mo>-</mo>
<mi>&delta;</mi>
<msub>
<mi>A</mi>
<mi>y</mi>
</msub>
<mo>&CenterDot;</mo>
<mi>g</mi>
<mo>-</mo>
<msub>
<mo>&dtri;</mo>
<mi>x</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>N</mi>
</msub>
<mo>=</mo>
<mo>-</mo>
<msub>
<mi>&delta;A</mi>
<mi>x</mi>
</msub>
<mo>&CenterDot;</mo>
<mi>g</mi>
<mo>+</mo>
<msub>
<mo>&dtri;</mo>
<mi>z</mi>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>U</mi>
</msub>
<mo>=</mo>
<msub>
<mi>&delta;K</mi>
<mrow>
<mi>A</mi>
<mi>y</mi>
</mrow>
</msub>
<mo>&CenterDot;</mo>
<mi>g</mi>
<mo>+</mo>
<msub>
<mo>&dtri;</mo>
<mi>y</mi>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
It can be parsed to obtain accelerometer related excitation error term according to the velocity error in this step on two positions.
6. the position system level scaling methods of optical fibre gyro SINS six as claimed in claim 1, it is characterised in that in step (5),
Inertia component is set to rotate forward 90 ° about the z axis, make inertia component is oriented day-east-north, and stands 1 minute progress static state and lead
Boat, followed by inertia component rotates forward 180 ° with 10 °/s angular speed around Y-axis, make inertia component is oriented ground-Dong-south,
And stand 1 minute and carry out static navigational, stopping adopts number and is specially:
Day-east-north towards when:
<mrow>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>E</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>N</mi>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>U</mi>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>=</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mn>1</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>1</mn>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mn>1</mn>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
</mtr>
</mtable>
</mfenced>
<mrow>
<mo>(</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mrow>
<msub>
<mi>&delta;K</mi>
<mrow>
<mi>A</mi>
<mi>x</mi>
</mrow>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;A</mi>
<mi>z</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<mo>-</mo>
<msub>
<mi>&delta;A</mi>
<mi>y</mi>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mo>-</mo>
<msub>
<mi>&delta;A</mi>
<mi>z</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;K</mi>
<mrow>
<mi>A</mi>
<mi>y</mi>
</mrow>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;A</mi>
<mi>x</mi>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<msub>
<mi>&delta;G</mi>
<mi>y</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<mo>-</mo>
<msub>
<mi>&delta;A</mi>
<mi>x</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;K</mi>
<mrow>
<mi>A</mi>
<mi>z</mi>
</mrow>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mi>g</mi>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>+</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<msub>
<mo>&dtri;</mo>
<mi>x</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<msub>
<mo>&dtri;</mo>
<mi>y</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<msub>
<mo>&dtri;</mo>
<mi>z</mi>
</msub>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>)</mo>
</mrow>
</mrow>
Deploy:
<mfenced open = "{" close = "">
<mtable>
<mtr>
<mtd>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>E</mi>
</msub>
<mo>=</mo>
<mi>&delta;</mi>
<msub>
<mi>G</mi>
<mi>y</mi>
</msub>
<mo>&CenterDot;</mo>
<mi>g</mi>
<mo>+</mo>
<msub>
<mo>&dtri;</mo>
<mi>z</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>N</mi>
</msub>
<mo>=</mo>
<msub>
<mi>&delta;K</mi>
<mrow>
<mi>A</mi>
<mi>x</mi>
</mrow>
</msub>
<mo>&CenterDot;</mo>
<mi>g</mi>
<mo>+</mo>
<msub>
<mo>&dtri;</mo>
<mi>x</mi>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>U</mi>
</msub>
<mo>=</mo>
<mo>-</mo>
<msub>
<mi>&delta;A</mi>
<mi>z</mi>
</msub>
<mo>&CenterDot;</mo>
<mi>g</mi>
<mo>+</mo>
<msub>
<mo>&dtri;</mo>
<mi>y</mi>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
Rotated around Y-axis, rotational angle is 180 °, ωx≈ 0, ωy≈ ω, ωz≈ 0, then have:
Deploy:
Various integrate above can be obtained:
After having rotated, on ground-Dong-south towards when:
Velocity error equation caused by accelerometer:
<mrow>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>E</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>N</mi>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>U</mi>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>=</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mrow>
<mo>-</mo>
<mn>1</mn>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>1</mn>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<mrow>
<mo>-</mo>
<mn>1</mn>
</mrow>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
</mtr>
</mtable>
</mfenced>
<mrow>
<mo>(</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mrow>
<msub>
<mi>&delta;K</mi>
<mrow>
<mi>A</mi>
<mi>x</mi>
</mrow>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;A</mi>
<mi>z</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<mo>-</mo>
<msub>
<mi>&delta;A</mi>
<mi>y</mi>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mo>-</mo>
<msub>
<mi>&delta;A</mi>
<mi>z</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;K</mi>
<mrow>
<mi>A</mi>
<mi>y</mi>
</mrow>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;A</mi>
<mi>x</mi>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<msub>
<mi>&delta;G</mi>
<mi>y</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<mo>-</mo>
<msub>
<mi>&delta;A</mi>
<mi>x</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;K</mi>
<mrow>
<mi>A</mi>
<mi>z</mi>
</mrow>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mo>-</mo>
<mi>g</mi>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
</mtr>
<mtr>
<mtd>
<mn>0</mn>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>+</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<msub>
<mo>&dtri;</mo>
<mi>x</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<msub>
<mo>&dtri;</mo>
<mi>y</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<msub>
<mo>&dtri;</mo>
<mi>z</mi>
</msub>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>)</mo>
</mrow>
</mrow>
Deploy:
<mfenced open = "{" close = "">
<mtable>
<mtr>
<mtd>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>E</mi>
</msub>
<mo>=</mo>
<mi>&delta;</mi>
<msub>
<mi>G</mi>
<mi>y</mi>
</msub>
<mo>&CenterDot;</mo>
<mi>g</mi>
<mo>-</mo>
<msub>
<mo>&dtri;</mo>
<mi>z</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>N</mi>
</msub>
<mo>=</mo>
<mo>-</mo>
<msub>
<mi>&delta;K</mi>
<mrow>
<mi>A</mi>
<mi>x</mi>
</mrow>
</msub>
<mo>&CenterDot;</mo>
<mi>g</mi>
<mo>+</mo>
<msub>
<mo>&dtri;</mo>
<mi>x</mi>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>&delta;</mi>
<msub>
<mover>
<mi>V</mi>
<mo>&CenterDot;</mo>
</mover>
<mi>U</mi>
</msub>
<mo>=</mo>
<mo>-</mo>
<msub>
<mi>&delta;A</mi>
<mi>z</mi>
</msub>
<mo>&CenterDot;</mo>
<mi>g</mi>
<mo>-</mo>
<msub>
<mo>&dtri;</mo>
<mi>y</mi>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
It can be parsed to obtain accelerometer related excitation error term according to the velocity error in this step on two positions.
7. the position system level scaling methods of optical fibre gyro SINS six as claimed in claim 1, it is characterised in that in step (6),
Offline navigation calculation is carried out to the data of inertia component collection, and computing system velocity error and attitude error are specially;First
The angular speed and specific force relative to inertial coodinate system obtained according to gyro in above-mentioned steps and accelerometer measures is in carrier system
Upper projection;Afterwards, changed by coordinate system, obtain carrier angular speed and specific force projects in navigational coordinate system, process is once accumulated
Point, carrier can be obtained relative to the transient posture angle of navigational coordinate system and linear velocity;Attitude angle true value can be provided by turntable, and speed is true
Value is set to 0.
8. the position system level scaling methods of optical fibre gyro SINS six as claimed in claim 1, it is characterised in that in step (7),
Design Kalman filter is filtered estimation to inertia component erroi and is specially:
Establish optical fibre gyro system level demarcation Kalman filtering state equation:
<mrow>
<msub>
<mover>
<mi>X</mi>
<mo>&CenterDot;</mo>
</mover>
<mn>1</mn>
</msub>
<mrow>
<mo>(</mo>
<mi>t</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<msub>
<mi>A</mi>
<mn>1</mn>
</msub>
<mrow>
<mo>(</mo>
<mi>t</mi>
<mo>)</mo>
</mrow>
<msub>
<mi>X</mi>
<mn>1</mn>
</msub>
<mrow>
<mo>(</mo>
<mi>t</mi>
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</msub>
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</mrow>
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In formula,A1
=[A11 A12 A13 A14]
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</msub>
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<mtable>
<mtr>
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<mi>&omega;</mi>
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</mtd>
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<msub>
<mi>T</mi>
<mn>33</mn>
</msub>
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<mi>&omega;</mi>
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</msubsup>
</mrow>
</mtd>
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</mtable>
</mfenced>
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<msub>
<mi>A</mi>
<mn>14</mn>
</msub>
<mo>=</mo>
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<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
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<msub>
<mi>T</mi>
<mn>12</mn>
</msub>
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<mi>&omega;</mi>
<mrow>
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<mi>T</mi>
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</mrow>
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</msubsup>
</mrow>
</mtd>
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<msub>
<mi>T</mi>
<mn>11</mn>
</msub>
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<mi>&omega;</mi>
<mrow>
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<mi>T</mi>
<mn>22</mn>
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<mi>&omega;</mi>
<mrow>
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</mrow>
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<msub>
<mi>T</mi>
<mn>23</mn>
</msub>
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<mi>&omega;</mi>
<mrow>
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</mrow>
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<mn>21</mn>
</msub>
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</mrow>
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</msubsup>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<msub>
<mi>T</mi>
<mn>32</mn>
</msub>
<msubsup>
<mi>&omega;</mi>
<mrow>
<mi>i</mi>
<mi>b</mi>
<mi>z</mi>
</mrow>
<mi>b</mi>
</msubsup>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>T</mi>
<mn>33</mn>
</msub>
<msubsup>
<mi>&omega;</mi>
<mrow>
<mi>i</mi>
<mi>b</mi>
<mi>x</mi>
</mrow>
<mi>b</mi>
</msubsup>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>T</mi>
<mn>31</mn>
</msub>
<msubsup>
<mi>&omega;</mi>
<mrow>
<mi>i</mi>
<mi>b</mi>
<mi>y</mi>
</mrow>
<mi>b</mi>
</msubsup>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
</mrow>
In formula,For random disturbances caused by gyro;Tij(i, j=1,
2,3) it is attitude matrixCorresponding element.
Establish corresponding measurement equation:
Z1(t)=H1X1(t)+V(t)
In formula,
<mrow>
<msub>
<mi>Z</mi>
<mn>1</mn>
</msub>
<mrow>
<mo>(</mo>
<mi>t</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<msub>
<mi>&theta;</mi>
<mi>I</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<msub>
<mi>&gamma;</mi>
<mi>I</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<msub>
<mi>&psi;</mi>
<mi>I</mi>
</msub>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>-</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<msub>
<mi>&theta;</mi>
<mi>Z</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<msub>
<mi>&gamma;</mi>
<mi>Z</mi>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<msub>
<mi>&psi;</mi>
<mi>Z</mi>
</msub>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>=</mo>
<msup>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mrow>
<mi>&delta;</mi>
<mi>&theta;</mi>
</mrow>
</mtd>
<mtd>
<mrow>
<mi>&delta;</mi>
<mi>&gamma;</mi>
</mrow>
</mtd>
<mtd>
<mrow>
<mi>&delta;</mi>
<mi>&psi;</mi>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mi>T</mi>
</msup>
</mrow>
<mrow>
<msub>
<mi>H</mi>
<mn>1</mn>
</msub>
<mo>=</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mrow>
<mo>-</mo>
<msub>
<mi>cos&psi;</mi>
<mi>I</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>sin&psi;</mi>
<mi>I</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<msub>
<mn>0</mn>
<mrow>
<mn>1</mn>
<mo>&times;</mo>
<mn>9</mn>
</mrow>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<msub>
<mi>sin&psi;</mi>
<mi>I</mi>
</msub>
<mo>/</mo>
<msub>
<mi>cos&theta;</mi>
<mi>I</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<mo>-</mo>
<mfrac>
<mrow>
<mo>(</mo>
<msub>
<mi>cos&psi;</mi>
<mi>I</mi>
</msub>
<mo>-</mo>
<mn>2</mn>
<msub>
<mi>sin&theta;</mi>
<mi>I</mi>
</msub>
<msub>
<mi>sin&gamma;</mi>
<mi>I</mi>
</msub>
<msub>
<mi>cos&gamma;</mi>
<mi>I</mi>
</msub>
<msub>
<mi>sin&psi;</mi>
<mi>I</mi>
</msub>
<mo>)</mo>
</mrow>
<mrow>
<msub>
<mi>cos&theta;</mi>
<mi>I</mi>
</msub>
</mrow>
</mfrac>
</mrow>
</mtd>
<mtd>
<mn>0</mn>
</mtd>
<mtd>
<msub>
<mn>0</mn>
<mrow>
<mn>1</mn>
<mo>&times;</mo>
<mn>9</mn>
</mrow>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mo>-</mo>
<msub>
<mi>sin&psi;</mi>
<mi>I</mi>
</msub>
<msub>
<mi>cos&theta;</mi>
<mi>I</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>cos&psi;</mi>
<mi>I</mi>
</msub>
<msub>
<mi>tan&theta;</mi>
<mi>I</mi>
</msub>
</mrow>
</mtd>
<mtd>
<mrow>
<mo>-</mo>
<mn>1</mn>
</mrow>
</mtd>
<mtd>
<msub>
<mn>0</mn>
<mrow>
<mn>1</mn>
<mo>&times;</mo>
<mn>9</mn>
</mrow>
</msub>
</mtd>
</mtr>
</mtable>
</mfenced>
</mrow>
In formula, θI、γI、ψIThe angle of pitch, roll angle and the course angle information that respectively navigation calculation obtains;θZ、γZ、ψZRespectively
Turntable posture true value;δ θ, δ γ, δ ψ are respectively the error between navigation calculation and turntable true value;V (t) is system measurements noise;
Establish accelerometer system level demarcation Kalman filtering state equation:
<mrow>
<msub>
<mover>
<mi>X</mi>
<mo>&CenterDot;</mo>
</mover>
<mn>2</mn>
</msub>
<mrow>
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<mi>t</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<msub>
<mi>A</mi>
<mn>2</mn>
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</mrow>
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<mi>t</mi>
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</mrow>
<mo>+</mo>
<msub>
<mi>G</mi>
<mn>2</mn>
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<mi>W</mi>
<mn>2</mn>
</msub>
<mrow>
<mo>(</mo>
<mi>t</mi>
<mo>)</mo>
</mrow>
</mrow>
In formula,
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<msub>
<mi>X</mi>
<mn>2</mn>
</msub>
<mo>=</mo>
<msup>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mrow>
<msub>
<mi>&delta;V</mi>
<mi>E</mi>
</msub>
</mrow>
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<mrow>
<msub>
<mi>&delta;V</mi>
<mi>N</mi>
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<msub>
<mi>&delta;V</mi>
<mi>U</mi>
</msub>
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<msub>
<mo>&dtri;</mo>
<mi>x</mi>
</msub>
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<msub>
<mo>&dtri;</mo>
<mi>y</mi>
</msub>
</mtd>
<mtd>
<msub>
<mo>&dtri;</mo>
<mi>z</mi>
</msub>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;K</mi>
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<mi>A</mi>
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</mrow>
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</mrow>
</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;K</mi>
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<mi>A</mi>
<mi>y</mi>
</mrow>
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<mtd>
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<msub>
<mi>&delta;K</mi>
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<mi>A</mi>
<mi>z</mi>
</mrow>
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</mtd>
<mtd>
<mrow>
<msub>
<mi>&delta;A</mi>
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</msub>
</mrow>
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<mtd>
<mrow>
<msub>
<mi>&delta;A</mi>
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<msub>
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</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mi>T</mi>
</msup>
<mo>;</mo>
</mrow>
A2=[A21 A22 A23 A24]
<mrow>
<msub>
<mi>A</mi>
<mn>21</mn>
</msub>
<mo>=</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<mrow>
<mfrac>
<msub>
<mi>V</mi>
<mi>N</mi>
</msub>
<msub>
<mi>R</mi>
<mi>N</mi>
</msub>
</mfrac>
<mi>tan</mi>
<mi> </mi>
<mi>L</mi>
<mo>-</mo>
<mfrac>
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<mi>V</mi>
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</msub>
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<mi>N</mi>
</msub>
</mfrac>
</mrow>
</mtd>
<mtd>
<mrow>
<mn>2</mn>
<msub>
<mi>&omega;</mi>
<mrow>
<mi>i</mi>
<mi>e</mi>
</mrow>
</msub>
<mi>s</mi>
<mi>i</mi>
<mi>n</mi>
<mi> </mi>
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<mfrac>
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<mi>V</mi>
<mi>E</mi>
</msub>
<msub>
<mi>R</mi>
<mi>N</mi>
</msub>
</mfrac>
<mi>tan</mi>
<mi> </mi>
<mi>L</mi>
</mrow>
</mtd>
<mtd>
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</mrow>
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<mi>V</mi>
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</msub>
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</msub>
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</mtd>
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<mtr>
<mtd>
<mrow>
<mo>-</mo>
<mrow>
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<msub>
<mi>&omega;</mi>
<mrow>
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<mi>e</mi>
</mrow>
</msub>
<mi>s</mi>
<mi>i</mi>
<mi>n</mi>
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<mfrac>
<msub>
<mi>V</mi>
<mi>E</mi>
</msub>
<msub>
<mi>R</mi>
<mi>N</mi>
</msub>
</mfrac>
<mi>tan</mi>
<mi> </mi>
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</mrow>
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</mtd>
<mtd>
<mrow>
<mo>-</mo>
<mfrac>
<msub>
<mi>V</mi>
<mi>U</mi>
</msub>
<msub>
<mi>R</mi>
<mi>M</mi>
</msub>
</mfrac>
</mrow>
</mtd>
<mtd>
<mrow>
<mo>-</mo>
<mfrac>
<msub>
<mi>V</mi>
<mi>N</mi>
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In formula,For random disturbances caused by accelerometer;Tij(i,j
=1,2,3) it is attitude matrixCorresponding element;
Establish corresponding measurement equation:
Z2(t)=Vn(t) -0=H2X2(t)+V(t)
In formula,
Z2(t)=[δ VE δVN δVU]T
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In formula, δ VE、δVN、δVUError between navigation calculation and true value;V (t) is system measurements noise;With in step (3)
SYSTEM ERROR MODEL establishes 24 dimension Kalman filter, and inertia component items error is demarcated;Utilize Kalman filter
Principle, every error parameter in quantity of state is estimated, complete the identification to inertia component items error parameter.
9. the position system level scaling methods of optical fibre gyro SINS six as claimed in claim 1, it is characterised in that in step (8),
The span of angular velocity of rotation is 10 °/s-30 °/s.
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CN110006450A (en) * | 2019-04-15 | 2019-07-12 | 哈尔滨工业大学 | A kind of scaling method of Ring Laser Gyroscope SINS on horizontal triaxial turntable |
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CN111189432A (en) * | 2020-01-10 | 2020-05-22 | 湖北三江航天红峰控制有限公司 | Calculation method of double-shaft inclinometer |
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