Inertial
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Kalman filter structure in the task of inertial navigation
INS price for integrating system
Market for inertial product
What the wander angle is?
Consulting request
Lost GPS position recovery
DGPS doesn't work in all environments
Assistance with a new product
4 question on the book contents
Strapdown or platform ?
Problems with some formulas...
How to use the external sensor to correct the inertial ?
?Let us take a moving body whose no assumptions on its motion can be
made. The trajectory in cartesian coordinates has to be estimated. Accelerometers and
gyros are used to measure the 3 accelerations and 3 angular rates. Because of sensors
errors, the trajectory will exhibit an error growthing with time and distance. Thus, a
Kalman filter is used to blend inertial data with absolute position fixes (no matter what
aiding system is used) regarding the complementary approach.
My question is on the structure on the Kalman filter. It is quite obvious that the
measurement vector is the aiding x, y-positions. But what does the state vector really
contain? 3 positions, 3 velocities, and pitch, roll, yaw angles? Provided we use the
extended Kalman filter equations, are these state variables error variables or total
dynamical quantities? Besides, should the state vector include necessarily additional
state variable to describe the sensor error? Finally, how is formed the state transition
matrix? I am clear with the strapdown equations, but I would like to check how they are
linearised in a Kalman filter suited for an integrated strapdown inertial system.
Catherine Marselli
Research assistant at the Institute of Microtechnology (University of Neuchatel,
Switzerland),
?I am very happy to hear you have experence on the development of
mobile mapping system with GPS/INS integrated CCD camera. I have been studied the mobile
mapping system for 1 year. I prepared dual frequency GPS receivers and two digital
cameras. Now I am going to purchase Inertial system. Also I have studied Pipeline
inspection system using INS and caliper (ultra sonic). Therefore, I want to find INS with
several size. Anyhow I want to receive the formal price list of INS, integrated GPS/INS
system and processing software and so on. When I have received price list of INS series, I
will order INS to you depending on price list.
Dr. Hong-Sic Yun
Department of Civil Engineering, Sungkyunkwan University, Korea
?we do obtain <1m positions XYZ for more than 4h
in real time, and more than 8h after post-processing, with our strapdown 32cm RLG Inertial
Navigation Systems, in pure inertial solution. Would you foresee a market for our product
in your range of activities An answer would be appreciated. Congratulations on your Web
site.
Joel Gillet / Brad Benedict. Benco S.c. (281) 398-8585 [also at joelgi@aol.com]
?I am a french student and I study the inertial
navigation system's structure. I cannot afford a book like the one you have written,
nevertheless I need somebody to explain me what the "wander angle"
is and why it is better to use such a frame for
navigation in the northern territories. Thank you.
Cyril Heliot, France
!Dear young collegue! For the determination of navigation parameters (velosity, pozition, attitude) is certain navigation frame the acceleration projections on that frame have to be provided. In order to realize that, the gyroplatform (physical or calculated) has to be controled by the same angular velosity as a navigation frame. Above angular velocity is calculated in the on board computer using the accelerometer mesasurements and introduced into gyro torques. As a result, physical (local-level INS) or calculated (strapdown INS) gyroplatform is precessed with the same angular velocity as a navigation frame. Assume, that the navigation frame is a local level frame. In this case the local-level frame absolute angular in projection on "Up" axis is: OMEGAup = (Ve/R)tg(fi) + U sin(fi) and if (fi) tends to 90 degree than (OMEGAup) tends to infinity. It means, that at very high latitude a large rotation about "Up" axis is necessary to maintain the orientation of the local-level frame wherenever it is moved towards the East even by a small movement. It means that very powerful torque for the vertical channel has to be needed. This problem may be avoided by performing all computations in a coordinate frame, that does not point North. Such a frame is called a "wander frame". In case a wander frame a control signal would not include the large first component of local-level angular velosity, but only the second component. The first component will be calculated only as a derivative of the wander angle. Using the wander angle one can easily to recalculate all navigation parameters from the wander frame to the local-level frame.
I thank you very much for your reply. I
had asked many american people, but they did not reply.
Cyril Heliot, France
[go top]
?I forward this email to you after reviewing the LIGS web site. I
represent a manufacturer of acoustic positioning systems and we are interested in
combining acoustic observations with an INS. Does LIGS, yourself or Dr Salychev offer
consulting on such subjects? We would need help with INS component selection, integration
and adjustment (I understand that this may not be a Kalman adjustment) development. Any
help you can offer will be greatly apreciated.
Keith Vickery, Sonardyne International Ltd., Houston, Texas
!
!
Thank you for your reply on my
e-mail. For the moment I am trying to configure the Kalman filter for my purpose. Then the
next step will be writing a programm in C++. Therefore I have been searching the internet
for some programming structures for Kalman filters. When I encounter any problems which I
am not able to solve, I do hope I can call on you again.
Tigger , Naval College in
Amsterdam, The Netherland
[go top]
?Our application is positioning of geophysical
equipment for unexploded ordnance and landmine detection. Precision required is 10cm over
50m. Size and weight are critical. I would appreciate any information on emerging
technologies that might be of interest to us. DGPS doesn't work in all environements!
Peter J. Clark, Manager Environmental Services, Geophysical Technology Limited
Mr. Min Xi, Agsystems Pty Ltd, Brisbane, Australia
1?I
start to simulate the strapdown inertial navigation algorithm based on the book
"Inertial Systems in Navigation and Geophysics" by Pref. Oleg Salychev at
Matlab.By following the procedures that listed on page 72-73, 1.
I found that I don't understand the Sculling compensation. The recurrent solution in
equation 4.4 shows the integration of 8 samples data. I cannot see how the 8 samples are
involved in this equation. It seems have 2 groups of updating routines, and I don't know
which one I should apply. Would you explain it a little further?
!Sculling
procedure realizes the cycle with 8 steps (equation 4.4) The output of three first
equations play role of the input for the last three equations
2?
When applying the quaternion calculation 2 (a correction of
quaternionaccording to the change of the navigation frame), how can I initialize the
""?the projections of the absolute angular velocity of the navigation frame x,
y, z on their axes?
!
In order to initialize navigation algorithm you need to fulfill the following procedure:
a) Alignment (within this procedure the initial parameters of
quaterninon have to be determined)
b) You introduce the initial parameters such as initial longitude and lattitude of
starting point.
3?
How can I initialize the B matrix which can be used to determine the
vehicles position of latitude and longitude, and used to calculate the velocity (equations
4.16, 4.17, 4.18)? I have been suggested to use the GPS reading (latitude, and longitude
data) to initialize B matrix (equation 4.15). I wondering how people use only inertial
sensor for navigation?
!
For the initialization of B matrix you can use the eq. 4.15 where azimuth angle
equals to zero, lattitude and longitude are the coordinates of the initial position. All
teh INS use the apriori information on the initial position.
4?
This algorithm has included some error corrections and
compensations. Can you explain what difference with psi-angle error model? Do I need to
apply psi-angle error model after this algorithm procedure?
!
Pure navigation algorithm for the verticat channel of INS is not used because the errors
of channel has a very unstable behaviour. If you do not use the external information, such
as barometric altimeter or GPS data you can assume that Vz=0. There is no
contradiction in formulas (4.16) and (3.23) in sense og signs. Eq. (4.16) contains the
compensation of Coriolis acceleration. This is a reason why above compensation has a
reverse sign.
Dear Mr. Min Xi, we highly appreciate your attention to my book. But unfortunatelly, I
am not able to keep answering to all of your questions because it takes more to a lectures
courses in distance education program. We can offer it to you on a mutually beneficial
basis. However the text of the book contains alredy the most of answers on your questions.
Please read it carefully,
With best regards,
Prof . Oleg Salychev
[go top]
?While we know that a stable platform with
conventional gyros suffers from schuler errors, we have had numerous discussions on
whether laser ring gyros used in the strap down system of inertial navigation systems
suffer from schuler errors or not. I have a note that the strapdown platform is
still subject to schuler loop usually at the first integrator level. Please can you clear
this one up for me? Thank you.
!
Note, that in principle, the local-level(platform) system and the strapdown system have
the identical scheme. But, in the strapdown system instead the gyroplatform the
calculation of the direction cosine matrix between body frame and navigational frame is
used. Above matrix is actually the analitical image of the gyroplatform. It is a reason
why the error behaviour of strapdown system has the similar Schuler oscillation as in
platform system. This problem is investigated in all the details in my book
"Inertial Systems in Navigation and Geophysics". See our web
page for more information about this book and how to get it. [go
top]
1?Dear Mr. Salychev.
Thank you for your book on INS. However I am myself not so good in mathematics so I have
problems with the formulation of some formulas. Do you want to be so kind to give me more
information on that?
The formula on page 68 : D_l_0 = 1 - D_j^2 / 8 + D_j^4/348
Do you mean: D_j^2 = D_j * (D_j)T
and D_l_0 = the norm (square root of the sum of the
square terms)
Thanks in advance. Hugo Marien, Software Engineer
Belgian Road Research Center
!The
series expansion of sin(x), cos(x) are
Substituting
in above formula
And using equation (4.11) the expression (4.12) can be
determinated. [go top]
2?Dear Professor Salychev,
Sorry to bother you again but I am trying to develop an INS system using a DMU-AHRS from
Crossbow/USA ( http://www.xbow.com ). I have
difficulties with the alignment formulas 4.27 and 4.28 in your book. What is the meaning
of k? In formula 4.30, k is defined as 2 * c * W . What
is W_0 and c ? Further how fits the stored
azimuth alignment in the alignment procedure, given that the initial quaternion q0 = [1 0
0 0]T
!The
selection of K, Kb coefficients makes the influence on the error damping process. The Kb
is responsible for the frequency of process damping. Kb= W_0^2/g.
If you select the large magnitude of Kb, the error transiction process would be short but
noisy if small then long, but smooth. It is a reason why the reasonable solution is to
select the large magnitude for coarse alignment and small one fir the fine alignment.
Crossbow is very rough IMU and can't realize pure inertial mode. In this case the INS/GPS
integration in close-loop Shuler mode can be used.
?Dear sir, I am student working in the field of aiding inertial
navigation from other sources such as camera for mobile robot. Can you explain to me
how I can use the external sensor to correct the inertial. I mean the structure of kalman
filter and is it there any programs in matlab to implement extended kalman filter.
Thank you very much JLETA@EUnet.yu
!In
order to develop Kalman filter for INS and external device integration you need to create
the INS error model as a model for Kalman filter and the difference between INS and
extrenal device indications as a measurement. I really doubt that you can reach something
usefull in Mathlab.
This page was last updated 20.12.00