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| − | {{preliminary}} <!-- Do not remove --> |
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[[Category:benchmark]] |
[[Category:benchmark]] |
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[[Category:linear]] |
[[Category:linear]] |
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[[Category:second differential order]] |
[[Category:second differential order]] |
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| + | [[Category:Procedural]] |
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[[Category:SISO]] |
[[Category:SISO]] |
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==Description== |
==Description== |
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| − | The '''flexible space structure''' benchmark<ref> |
+ | The '''flexible space structure''' benchmark <ref name="gawronski90"/>,<ref name="gawronski91"/>,<ref name="gawronski96"/> is a procedural modal model which represents structural dynamics with a selectable number actuators and sensors. This model is used for truss structures in space environments i.e. the COFS-1 (Control of Flexible Structures) mast flight experiment <ref name="horner86"/>,<ref name="horta86"/>. |
| − | ==Model== |
+ | ===Model=== |
In modal form the '''flexible space structure''' model for <math>K</math> modes, <math>M</math> actuators and <math>Q</math> sensors is of second order and given by: |
In modal form the '''flexible space structure''' model for <math>K</math> modes, <math>M</math> actuators and <math>Q</math> sensors is of second order and given by: |
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For this benchmark the system matrix is block diagonal and thus chosen to be sparse. |
For this benchmark the system matrix is block diagonal and thus chosen to be sparse. |
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| − | The parameters <math>\xi</math> and math>\omega</math> are sampled from a uniform random distributions <math>\mathcal{U}_{[0,\frac{1}{1000}]}^K</math> and <math>\mathcal{U}_{[0,100]}^K</math> respectively. |
+ | The parameters <math>\xi</math> and <math>\omega</math> are sampled from a uniform random distributions <math>\mathcal{U}_{[0,\frac{1}{1000}]}^K</math> and <math>\mathcal{U}_{[0,100]}^K</math> respectively. |
The components of the input matrix <math>b_k</math> are sampled form a uniform random distribution <math>\mathcal{U}_{[0,1]}</math>, |
The components of the input matrix <math>b_k</math> are sampled form a uniform random distribution <math>\mathcal{U}_{[0,1]}</math>, |
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while the output matrix <math>C</math> is sampled from a uniform random distribution <math>\mathcal{U}_{[0,10]}</math> completely w.l.o.g, since if the components of <math>C_d</math> are random their scaling can be ignored. |
while the output matrix <math>C</math> is sampled from a uniform random distribution <math>\mathcal{U}_{[0,10]}</math> completely w.l.o.g, since if the components of <math>C_d</math> are random their scaling can be ignored. |
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==Data== |
==Data== |
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| − | The following Matlab code assembles the above described <math>A</math>, <math>B</math> and <math>C</math> matrix for a given number of modes <math>K</math>. |
+ | The following Matlab code assembles the above described <math>A</math>, <math>B</math> and <math>C</math> matrix for a given number of modes <math>K</math>, actuators (inputs) <math>M</math> and sensors (outputs) <math>Q</math>. |
<div class="thumbinner" style="width:540px;text-align:left;"> |
<div class="thumbinner" style="width:540px;text-align:left;"> |
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rand('seed',1009); |
rand('seed',1009); |
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xi = rand(1,K)*0.001; % Sample damping ratio |
xi = rand(1,K)*0.001; % Sample damping ratio |
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| − | omega = rand(1,K)*100; % Sample natural frequencies |
+ | omega = rand(1,K)*100.0; % Sample natural frequencies |
A_k = cellfun(@(p) sparse([-2.0*p(1)*p(2),-p(2);p(2),0]), ... |
A_k = cellfun(@(p) sparse([-2.0*p(1)*p(2),-p(2);p(2),0]), ... |
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</div> |
</div> |
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| + | ==Dimensions== |
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| + | |||
| + | System structure: |
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| + | :<math> |
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| + | \begin{align} |
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| + | \dot{x}(t) &= Ax(t) + Bu(t) \\ |
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| + | y(t) &= Cx(t) |
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| + | \end{align} |
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| + | </math> |
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| + | |||
| + | System dimensions: |
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| + | |||
| + | <math>A \in \mathbb{R}^{2K \times 2K}</math>, |
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| + | <math>B \in \mathbb{R}^{2K \times M}</math>, |
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| + | <math>C \in \mathbb{R}^{Q \times 2K}</math>. |
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| + | |||
| + | ==Citation== |
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| + | |||
| + | To cite this benchmark, use the following references: |
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| + | |||
| + | * For the benchmark itself and its data: |
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| + | ::The MORwiki Community, '''Flexible Space Structures'''. MORwiki - Model Order Reduction Wiki, 2018. http://modelreduction.org/index.php/Flexible_Space_Structures |
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| + | |||
| + | @MISC{morwiki-flexspacstruc, |
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| + | author = <nowiki>{{The MORwiki Community}}</nowiki>, |
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| + | title = {Flexible Space Structures}, |
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| + | howpublished = {{MORwiki} -- Model Order Reduction Wiki}, |
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| + | url = <nowiki>{https://modelreduction.org/morwiki/Flexible_Space_Structures}</nowiki>, |
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| + | year = 2018 |
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| + | } |
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| + | |||
| + | * For the background on the benchmark: [https://morwiki.mpi-magdeburg.mpg.de/BibTeX/#morGawW91 morGawW91] ([https://morwiki.mpi-magdeburg.mpg.de/BibTeX/html/mor_bib.html#morGawW91 BibTeX]) |
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==Reference== |
==Reference== |
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| − | <references |
+ | <references> |
| + | |||
| + | <ref name="gawronski90">W. Gawronski and J.N. Juang. "<span class="plainlinks">[https://doi.org/10.1016/B978-0-12-012736-8.50010-3 Model Reduction for Flexible Structures]</span>", Control and Dynamic Systems, 36: 143--222, 1990.</ref> |
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| + | |||
| + | <ref name="gawronski91">W. Gawronski and T. Williams, "<span class="plainlinks">[http://doi.org/10.2514/3.20606 Model Reduction for Flexible Space Structures]</span>", Journal of Guidance 14(1): 68--76, 1991</ref> |
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| + | |||
| + | <ref name="gawronski96">W. Gawronski. "<span class="plainlinks">[https://doi.org/10.1007/3540760172_4 Model reduction]</span>". In: Balanced Control of Flexible Structures. Lecture Notes in Control and Information Sciences, vol 211: 45--106, 1996.</ref> |
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| + | |||
| + | <ref name="horner86">G.C. Horner. "<span class="plainlinks">[https://ntrs.nasa.gov/search.jsp?R=19870006596 COFS-1 Research Overview]</span>". NASA / DOD Control Structures Interaction Technology: 233--251, 1986</ref> |
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| + | |||
| + | <ref name="horta86">L.G. Horta, J.L. Walsh, G.C. Horner and J.P. Bailey. "<span class="plainlinks">[https://ntrs.nasa.gov/search.jsp?R=19870006613 Analysis and simulation of the MAST (COFS-1 flight hardware)]</span>". NASA / DOD Control Structures Interaction Technology: 515--532, 1986.</ref> |
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| + | |||
| + | </references> |
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==Contact== |
==Contact== |
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Latest revision as of 06:31, 17 June 2025
Description
The flexible space structure benchmark [1],[2],[3] is a procedural modal model which represents structural dynamics with a selectable number actuators and sensors. This model is used for truss structures in space environments i.e. the COFS-1 (Control of Flexible Structures) mast flight experiment [4],[5].
Model
In modal form the flexible space structure model for \(K\) modes, \(M\) actuators and \(Q\) sensors is of second order and given by:
\[\ddot{\nu}(t) = (2 \xi \circ \omega) \circ \dot{\nu}(t) + (\omega \circ \omega) \circ \nu = Bu(t)\]
\[y(t) = C_r\dot{\nu}(t) + C_d\nu(t)\]
with the parameters \(\xi \in \mathbb{R}_{>0}^K\) (damping ratio), \(\omega \in \mathbb{R}_{>0}^K\) (natural frequency) and using the Hadamard product \(\circ\). The first order representation follows for \(x(t) = (\dot{\nu}(t), \omega_1\nu_1, \dots, \omega_K\nu_K)\) by:
\[\dot{x}(t) = Ax(t) + Bu(t) \]
\[y(t) = Cx(t)\]
with the matrices:
\[A := \begin{pmatrix} A_1 & & \\ & \ddots & \\ & & A_K \end{pmatrix}, \; B := \begin{pmatrix} B_1 \\ \vdots \\ B_K \end{pmatrix}, \; C := \begin{pmatrix} C_1 & \dots & C_K \end{pmatrix}, \]
and their components:
\[A_k := \begin{pmatrix} -2\xi_k\omega_k & -\omega_k \\ \omega_k & 0 \end{pmatrix}, \; B_k := \begin{pmatrix} b_k \\ 0 \end{pmatrix}, \; C_k := \begin{pmatrix} c_{rk} & \frac{c_{dk}}{\omega_k} \end{pmatrix},\]
where \(b_k \in \mathbb{R}^{1 \times M}\) and \(c_{rk}, c_{dk} \in \mathbb{R}^{Q \times 1}\).
Benchmark Specifics
For this benchmark the system matrix is block diagonal and thus chosen to be sparse. The parameters \(\xi\) and \(\omega\) are sampled from a uniform random distributions \(\mathcal{U}_{[0,\frac{1}{1000}]}^K\) and \(\mathcal{U}_{[0,100]}^K\) respectively. The components of the input matrix \(b_k\) are sampled form a uniform random distribution \(\mathcal{U}_{[0,1]}\), while the output matrix \(C\) is sampled from a uniform random distribution \(\mathcal{U}_{[0,10]}\) completely w.l.o.g, since if the components of \(C_d\) are random their scaling can be ignored.
Data
The following Matlab code assembles the above described \(A\), \(B\) and \(C\) matrix for a given number of modes \(K\), actuators (inputs) \(M\) and sensors (outputs) \(Q\).
function [A,B,C] = fss(K,M,Q)
rand('seed',1009);
xi = rand(1,K)*0.001; % Sample damping ratio
omega = rand(1,K)*100.0; % Sample natural frequencies
A_k = cellfun(@(p) sparse([-2.0*p(1)*p(2),-p(2);p(2),0]), ...
num2cell([xi;omega],1),'UniformOutput',0);
A = blkdiag(A_k{:});
B = kron(rand(K,M),[1;0]);
C = 10.0*rand(Q,2*K);
end
Dimensions
System structure: \[ \begin{align} \dot{x}(t) &= Ax(t) + Bu(t) \\ y(t) &= Cx(t) \end{align} \]
System dimensions\[A \in \mathbb{R}^{2K \times 2K}\], \(B \in \mathbb{R}^{2K \times M}\), \(C \in \mathbb{R}^{Q \times 2K}\).
Citation
To cite this benchmark, use the following references:
- For the benchmark itself and its data:
- The MORwiki Community, Flexible Space Structures. MORwiki - Model Order Reduction Wiki, 2018. http://modelreduction.org/index.php/Flexible_Space_Structures
@MISC{morwiki-flexspacstruc,
author = {{The MORwiki Community}},
title = {Flexible Space Structures},
howpublished = {{MORwiki} -- Model Order Reduction Wiki},
url = {https://modelreduction.org/morwiki/Flexible_Space_Structures},
year = 2018
}
Reference
- ↑ W. Gawronski and J.N. Juang. "Model Reduction for Flexible Structures", Control and Dynamic Systems, 36: 143--222, 1990.
- ↑ W. Gawronski and T. Williams, "Model Reduction for Flexible Space Structures", Journal of Guidance 14(1): 68--76, 1991
- ↑ W. Gawronski. "Model reduction". In: Balanced Control of Flexible Structures. Lecture Notes in Control and Information Sciences, vol 211: 45--106, 1996.
- ↑ G.C. Horner. "COFS-1 Research Overview". NASA / DOD Control Structures Interaction Technology: 233--251, 1986
- ↑ L.G. Horta, J.L. Walsh, G.C. Horner and J.P. Bailey. "Analysis and simulation of the MAST (COFS-1 flight hardware)". NASA / DOD Control Structures Interaction Technology: 515--532, 1986.