This is the U.S. National Stage of International Application No. PCT/EP2012/059219, filed May 17, 2012, which was published in English under PCT Article 21(2), which in turn claims the benefit of European Patent Application No. 11168278.7, filed May 31, 2011.
The invention relates to a system for determining inertia properties of a rigid body rS={m, ζG, θ}—also called rigid body properties—, particularly the inertia tensor θ (moments of inertia), the mass m and/or the position of the center of mass (gravity) ζG, as well as to a method for determining said properties of a rigid body.
These rigid body properties are essential in predicting and optimizing the dynamic behaviour of various types of machines. Examples include the prediction of roll-over limits of vehicles, the reduction of engine vibrations through optimal mounts, and the design of optimal actuation and control systems for robot manipulators, aircraft, and satellites.
Therefore, the problem underlying the present invention is to provide for a system and method of the afore-mentioned kind, which allows for determining said inertia properties in a simple, cost effective and accurate manner.
This method is solved by a system having the features of claim 1.
According thereto, the system according to the invention comprises: a carrier which is configured and provided for suspending a rigid body from said carrier, such that the rigid body is able to perform movements along the six degrees of freedom of the rigid body (it is also possible to restrict the movements to a smaller number of degrees of freedom), at least six sensors (or a number of sensors corresponding to the number of degrees of freedom of the rigid body) providing output signals for detecting the movement of the body along the considered degrees of freedom of the rigid body, a measuring device cooperating with the sensors, wherein the measuring device is configured to measure said movement of the body by means of said output signals, and an analysing means cooperating with said measuring device configured for automatically determining from said movement or rather output signals said interia properties.
Particularly, the measuring device stores and eventually displays values of said movement corresponding to the output signals provided by the sensors. The measuring device can be formed by a computer that runs a suitable software that is particularly loaded into the computers memory and comprises an interface for making connection to the sensors, i.e., so that output signals of the sensors can be read out and properly assigned and further proceeded by the software.
Likewise also the analysing means can be formed by said computer and a corresponding software running on said computer, which software may also be used for measuring said movement (motion) of the rigid body.
Preferably, elastic elements or elements providing for a restoring force are designed and provided for suspending the rigid body in a way that (free) vibrations along the six degrees of freedom (or a smaller number of degrees of freedom) of the rigid body result, when the rigid body is excited to move, for instance by pushing it in some direction.
In this respect, the measuring device is preferably configured to measure as said movement output signals of sensors corresponding to the translation of the rigid body, whose intertia properties shall be determined, along the three orthogonal axes as well as the rotations about these axes as a function of time (in case six degrees of freedom are considered). Preferably, the considered time is discretized into a plurality of discrete points in time tk.
In a preferred embodiment, said analysing means is designed and provided to fit said measured output signals š1(tk) to a function in the form of
that corresponds to a theoretical model of the measured movement (sensor output) š1(tk) of the suspended vibrating rigid body. Here, the sum corresponds to the rigid body motion. (Note that in case less than six degrees of freedom are considered, the above equation changes accordingly, i.e., the summation runs from j=1 to the respective number of considered degrees of freedom).
In the above Equation A1 (1 labels the sensors) is a matrix of constants relating the rigid body motion to the measured output signal š1(tk) (corresponding to the sensor output, i.e., the output signals of the sensors) at time step tk, in particular.
Further, particularly, ωj denotes the six (j=1, . . . , 6) natural frequencies (eigenfrequencies), and ζj denotes the damping ratio of the j-th rigid body mode in particular. Finally, a2j-1 and a2j represent the amplitude and phase of a given mode j, in particular.
In order to determine said inertia properties of the rigid body, the analysing means is preferably designed and provided to minimize an expression in the form of
with respect to the inertia properties rS∈, the above stated amplitude and phase {aj}∈, and the damping ratios {ζj}∈, i.e., rS, aj, and ζj are varied in order to minimize said expression. Once the proper minimum is reached rS equals the actual inertia properties of the suspended rigid body. Here, N1 is the number of sensors, and Nk is the number of considered (measured) time steps tk.
Preferably, the analysing means is particularly configured to conduct said minimisation by means of a non-linear least-squares method.
The system according to the invention preferably comprises elastic elements, which are designed for suspending the rigid body from the carrier, wherein the rigid body is suspended from the carrier via said elastic elements. Preferably, each of the elastic elements extends longitudinally along an associated extension direction.
In particular, these elastic elements are designed as (suspension) wires or (coil) springs or a combination thereof—for instance a coil spring connecting two free end portions in the form of longitudinally (linearly) extending wires.
It is possible to use one, two, three, four, five, six, seven or eight or even more elastic elements for suspending the rigid body.
In a further embodiment of the invention, the system comprises a platform or a similar element that is configured and provided for supporting the rigid body whose inertia properties shall be determined. Then, said elastic elements connect the carrier to the platform on which said rigid body rests, i.e., the rigid body is suspended from the carrier via the platform and the elastic elements.
In order to measure said excited movement of the suspended rigid body, said sensors may be directly attached to the platform or to the carrier or to the rigid body itself. Alternatively each sensor can be made part of an elastic element, so that the sensor is attached to the carrier and the platform (if present) via a portion of the respective elastic element, respectively.
In a further embodiment of the invention, the carrier (also called support or support frame) is essentially designed as a hexahedral framework.
Furthermore, the problem according to the invention is also solved by a method for determining the stated inertia properties of a rigid body (rigid body properties), wherein the system according to the invention is preferably used for conducting the method.
The method according to the invention comprises the steps of: suspending the rigid body from a carrier, forcing the rigid body to perform movements along the six degrees of freedom of the rigid body (or less degrees of freedom, see above), measuring said movement of the rigid body automatically, i.e., particularly by means of some sort of a measuring device (see above) comprising sensors or cooperating with the latters, and determining said rigid body properties from said movement (output signals) automatically, i.e., particularly by means of some sort of an analysing device (see above), wherein particularly the rigid body is suspended such that it performes a movement (motion) in the form of free vibrations when excited, wherein particularly measuring said movement corresponds to measuring output signals of sensors corresponding to the translations of the rigid body along three orthogonal axes and the rotations of the rigid body about these axes as a function of time (in particular as a function of discretized time tk) in case six degrees of freedom are considered.
Preferably, said measured movement (output signals) š1(tk) is fitted to a function of the form
that models the sensor output signals (measured by the measuring device), wherein said rigid body properties are (automatically) determined by (automatically) minimizing an expression in the form of
with respect to rS∈, {aj}∈, {ζj}∈, wherein said minimisation is particularly (automatically) conducted by means of a non-linear least-squares method. Here, N1 is the number of sensors, and Nk is the number of considered (measured) time steps tk.
Advantageously, besides measuring said movement of the suspended and vibrating rigid body, merely the following parameters are preferably used for determining the inertia properties of the considered rigid body:
It is a remarkable advantage that these parameters remain constant for a given system (carrier and suspended platform) for all measurements.
Further advantages and details of embodiments of the present invention shall be explained in the following with reference to the Figures, wherein
r={m,ζG,Θ}, (1)
where m is the mass, ζG is the location of the center of gravity, and θ is the inertia tensor about the center of gravity
These ten parameters define a complete model of the structure's (rigid body's) rigid dynamic behavior.
In order to determine the inertia properties of the rigid body 2 the latter is suspended in elastic elements p in the form of wires, either directly (cf.
According to
For suspending the rigid body 2, a platform 30 for supporting the rigid body 2 is provided, wherein said plaform 30 is suspended from the carrier 10 by means of 8 elastic elements p, wherein each of the 8 elastic elements p is fixed with a free end to the upper frame and with an opposing free end to an edge 31 of the platform 30, such that elastic elements connected to the same edge 31 run preferably parallel with respect to each other.
After suspending the test object (rigid body) 2, preferably free vibrations of the six rigid body modes j are initiated in a random fashion, for example by pushing the structure 2 in an arbitrary direction. The motion (movement) of the rigid body 2 in the course of the resulting free vibration is measured about each of the six rigid body degrees of freedom (DOF)(or about a smaller number of degrees of freedom) by means of sensors 100 and a measuring device 110 connected thereto. In
Possible sensor arrangements are depicted in
In addition to the motion (free vibrations) of the rigid body 2, in particular only the following parameters need to be known in order to determine the rigid body properties rS:
Note that none of these parameters changes over the lifetime of a system 1 of the type shown in
Assuming now small displacements and negligible damping effects, the motion of a suspended rigid body 2 is defined by
wherein δx is a reference point displacement (3×1 vector), δθ is a rotation about the coordinate axes (3×1 vector), f is a translational force (3×1 vector), t is a moment of force (3×1 vector), M is the mass matrix (6×6 matrix), and K is the stiffness matrix (6×6 matrix).
Note that in case of large displacement amplitudes one may use instead of Equation (3) the complete non-linear equations of rigid body motion. In this case one may numerically integrate these Equations in order to derive a method equivalent to the harmonic approach presented below.
Both the mass matrix M and the suspension stiffness matrix K are functions of the unknown rigid body properties rS. The mass matrix M of the rigid body 2 is now defined as
wherein the notation [ ]x used in Equation (4) transforms a cross product into a matrix vector multiplication a×b=[a]xb, where
In case a platform 30 is used, the overall mass matrix M is composed of the unknown rigid body properties of the test object 2, rS, and the known rigid body properties of the platform rp
M=M(rS)+M(rp) (6)
The stiffness matrix K depends on the unknown overall mass and center of gravity,
The stiffness matrix K also depends on the static equilibrium position defined by the location x0 and orientation θ of the space-fixed coordinate system spanned by ({tilde over (e)}1, {tilde over (e)}2, {tilde over (e)}3) relative to the body-fixed coordinate system spanned by (e1, e2, e3) (cf.
ζb,p=xÕ+R(θ)T{tilde over (ζ)}b,p (9)
ng=R(θ)Tñg, (10)
where R(θ) is a rotational transformation matrix.
The static equilibrium position (x0,θ) is not measured, but instead is obtained by minimizing the potential energy function
In Equation (12), Ve,p represents the elastic energy stored in a given elastic element (wire) p,
The term Vg in Equation (12) represents the gravitational energy of the rigid body 2 and is defined by the projection of the gravity force, mgng, onto the vector x0−ζG that points from the center of gravity to the space-fixed origin Õ.
Vg=mg(xÕ−ζG)Tng, (15)
Once the static equilibrium position has been determined by minimizing Equation (12), the stiffness matrix K is obtained as follows
The stiffness matrix K defined by Equation (16) is special in that it accounts for all geometric stiffness effects caused by the gravity preload.
A softly suspended rigid body 2 always performs free vibrations with six different mode shapes Xj and six natural frequencies ωj. The mode shapes Xj and natural frequencies ωj can be obtained by solving the following eigenvalue problem. (Note that moderate viscous damping does not affect the mode shapes and has only marginal effects on the natural frequencies. Therefore, damping does not need to be taken into account at this stage.)
0=(−ωj2M+K)Xj, j=1, . . . ,6 (19)
The mode shapes Xj should be normalized in a consistent way, e.g. in such a way that
∥Xj∥=1.
In the next step, the mode shapes Xj obtained from Equation (19) are transformed into the corresponding output sl obtained by a given sensor 100. In the following this transformation is stated for three different types of sensors 100 according to
Accelerometers 100 have the disadvantage that the stiffness and intertia effects of their cable connections 50 to the measurement (measuring) device 110 (computer 130) can distort the measurements.
A second possibility according to
The matrices R(θ), J1(0) and T1 were already obtained as part of computing the stiffness matrix K.
The use of space-fixed force sensors 100 according to
A third possibility according to
Compared with sensors in the form of accelerometers, the motion amplitudes of this type of force sensor 100 is small, minimizing distortions caused by cables 50. Unlike both accelerometers 100 (
The free vibration signal measured by a given sensor 100 is defined by
where ζ1 is the damping ratio of the j-th rigid body mode. The factors a2j-1 and a2j define the amplitude and the phase of a given mode and are the only parameters that depend on the random initial excitation.
Equation (26) defines the theoretical vibration signals of the rigid body 2. This expression can be fitted to the measured time-domain signals, š1(tk), in order to identify the rigid body properties rs. The resulting optimization problem is defined by
Note that the modal damping ratios ζ1 and the scaling factors a2j-1 and a2j must be identified at the same time as the rigid body properties, even though these parameters may not be of interest to the experimenter.
Conventional nonlinear least-squares routines (e.g. the Gauss-Newton-Algorithms or the Leuvenberg-Marquardt Algorithms) can be used to solve the optimization problem Equation (27).
Preferably, all calculations in the course of the method according to the invention outlined above are performed by the analysing means 20, i.e., in particular by said computer 130 and said software carried out by said computer 130.
Number | Date | Country | Kind |
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11168278 | May 2011 | EP | regional |
Filing Document | Filing Date | Country | Kind | 371c Date |
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PCT/EP2012/059219 | 5/17/2012 | WO | 00 | 11/26/2013 |
Publishing Document | Publishing Date | Country | Kind |
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WO2012/163688 | 12/6/2012 | WO | A |
Number | Name | Date | Kind |
---|---|---|---|
5309753 | Johnson | May 1994 | A |
5460099 | Matsuhisa | Oct 1995 | A |
5931441 | Sakamoto | Aug 1999 | A |
6036162 | Hayashi | Mar 2000 | A |
6338274 | Carroll | Jan 2002 | B1 |
RE39906 | Roston | Nov 2007 | E |
7630869 | Shen | Dec 2009 | B2 |
20030029238 | Challoner | Feb 2003 | A1 |
20040164253 | Ito | Aug 2004 | A1 |
20060010965 | Mastinu | Jan 2006 | A1 |
20060288779 | Cardarelli | Dec 2006 | A1 |
20100030532 | Arora | Feb 2010 | A1 |
20100135594 | Allebach | Jun 2010 | A1 |
20100230370 | Schneider | Sep 2010 | A1 |
20120089375 | Kordt | Apr 2012 | A1 |
20130206916 | Kordt | Aug 2013 | A1 |
20140208848 | Krylov | Jul 2014 | A1 |
Number | Date | Country |
---|---|---|
S54157684 | Dec 1979 | JP |
H11326026 | Nov 1999 | JP |
2011089958 | May 2011 | JP |
2012005114 | Jan 2012 | WO |
Entry |
---|
Nakazono et al., “Improved Rigid Body Property Identification of Low-rigidity Structures by means of a Multi-wire Suspension Model,” No. 115, Dynamics and Design Conference 2010, 2010. 9:14-18. |
Akita et al, “Development of a Highly Accurate Rigid Body Property Identification System,” No. 114, Dynamics and Design Conference 2010, 2010. 9:14-18. |
Pandit et al., “Determination of Rigid Body Characteristics from Time Domain Modal Test Data,” J. of Sound and Vibration 177:31-41, 1994. |
Number | Date | Country | |
---|---|---|---|
20140088914 A1 | Mar 2014 | US |