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DEPARTMENT OF !^SECHANICAL ENGINEERING AND MECHANICSSCHOOL OF E^IGICIEERING
OLD DOMINION UNIVERSITYNCIRFOLK, '; IRGII7IA
CONTROi_ .'YSTEMS DESIGN FOR LAP.GE
FLEXIBLE SPACE STRUCTUR'=S
(N AS A-CR- 162582 ► CONTI+OL SYSTE"IS CESIGN FCRLATIGE PL EXIALR SPACE S?R iICTURfS Pi_nalF^eport, 15 Nov. 1977 - 14 .]an. 19A0 (Gi3Dominion Oniv. Research Foundation) 21 ^F7C A02/MP A01 CSCL 22P 63/18
BY
Suresh M. Joehi, Co-Principal Investigator
and
A. S. Roberts, Jr., Co-Principal Investigator
Final ReportFor the oeriod November 15, 1977 - January 14, 1980
c^repared for the:National Aeronautics and Space AdministrationLangley Research CanterYampton, Virginia
NAO- 11201
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JnderResearch Grant NSG 1473Nelson J. Groom, Technical MonitorFlight Dynamics and Control Division
January 1930
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https://ntrs.nasa.gov/search.jsp?R=19800006942 2018-06-27T12:26:21+00:00Z
DEPARTMENT OF MECHANICAL ENGINEERING AND `MECHANICSSCH()OL OF ENGINEERINGOLD DOMINION UNIVERSITYNORFOLK, VIRGINIA
I
^11^
CONTROL SYSTEMS DESIGN FOR LARGE
FLEXIBLE SPACE STRUCTURES
BY
Suresh M. Joshi, Co-Principal Investigator
and
A. S. Roberts, Jr., Co-Principal Investigator
Final ReportFor the ^eriod November 15, 1977 - January 14, 1980
National .aeronautics and Space AdministrationLangley Research CenterHampton, Virginia 23665
Research Grant NSG 1373Nelson J. room, technical MonitorFlight Dynamics and Control Division
01J Juminion Universit ,.- !-:esearch FoundationP.O. Box 6369Norfolk, Virginia 23508
Januar y 1,)80
'ONTROL SYSTEMS DESIGN FOR LARGE FLE^CIBLE
SPACE STRUCTURES
BY
S. M. Joshi l and A. S'. Roberts, Jr.`
SUMMARY
Large, lightweight space structures represent the basic requirement
of many potentially important, new, space initiatives. This report
contains a description of .he research performed under grant NSG 1473, in
the area of control syster..., design for large space structures (LSS).
Several approaches for the design of reduced-order LAG-type controllers
for LSS were proposed and evaluated using a continuous model of a long
free-free beam. Sufficient conditions were derived for the asymptotic
stability with this type of controller. A finite-element model of a
free-free-free-free square plate was obtained for use in control systems
studies. A method was developed for optimal damping enhancement in
LSS.
INTRODUCTION
Many of the potential)}^ important new space initiatives and mis-
sions which have been identified in reference 1 require large space
structures with dimensions which range from one hundred to several
thousands of meters. Example structures include very lar ge microwave
reflectors, microwave antennas, antenna platrorms, solar energy collectors,
radiators, solar sails, and telescopes. t4her^ the Space Shuttle becomes
operational, development of large space structures such as these will
become feasible.
Research Associate Professor, Old Dominion University ResearchFoundation, P.O. Box 5369, Norfolk, Virginia 23508.
Professor, Department of Mechanical Engineering and Mechanics, Old
Dominion Univers'.'.y, Norfolk, Virginia 23508
Control s}'stems design for structures of the size being contemplated
is a complex and challenging problem because weight and volume constraints
on the structural members will result in extremely low frequency bending
:nodes which are closely spaced in the frequency domain. Because of
stability and pointing requirements, a number of lower frequency modes
will probably fall within the bandwidth of the controller. Thus, the
active control of some of the structure.'. modes appears unavoidable. The
tools of r+^dern control theory, such as Linear-^?uadratic-Gaussian (LQG)
control theory, can be effectively applied to the solution of the problem,
but not using the standard techniques. This is because the order of the
model required to accurately describe the structure, or plant, will be
too high to permit a practical solution using standard LQG theory witt,
full-order estimators and regulators. The feasible solution, therefore,
is almost certain to consist of regulators and estimators of order much
lower than the plant.
Unfortunately, stability of the system with lower order regulators
and estimators is not guaranteed because of the possible excitation of
uncontrolled or "residual" modes. In reference 2, the very descriptive
terms "controller spillover" and "observation spillover" were introduced
to describe the unwanted forcing of the residual modes by the control
inputs and the unwanted contribution of the residual modes to the
observations respectively. If the residual modes have some natural
damping, the closed-loop system would be asymptotically stable in the
absence of either or both spillovers. However, spillover terms are
present in practice and must be considered i.n overall system performance.
This report consists of a summary of the research performed during
the perioa of the grant. For further information, readers are referred
to the papers and reports written by S: H. Joshi during the course of
the study.
REDUCED-ORDER LQG-CONTROLLcR5
The objective of this research was to develop a controller design
methodology for large space structures (LSS1. The first step towards
this objective was the selection of an appropriate model representing
the important 3yrlamic characteristics of LSS while being sufficientl}'
simple to be mathematiczlly tractable. These considerations lad to
the choice of a uniform free-free beam as the basic model for developing
controller design methodology. Reference 3 consists of the development
of a model of a free-free beam. Some interesting properties of the mode
Shapes were also ::erived ir. that report.
In reference J, several approaches to the design of reduced order
controllers fcr large space structures were presented and discussed.
These approaches were based on L^^ control theory and included truncation,
modified truncation regulators and estimators, use of higher order
estimators, and selective modal suppression. .also, the use of direct
sensor feedback, instead of a state estimator, was im^estigated for
some of the approaches. Numerical results were obtained for a long
free-free beam. In addition, sufficient conditions for as}'mptotic
stability were obtained in references 4 and 5. Reference 6 considered
a number of approaches to the LQG controller design for LSS, and also
proposed the use of "polynomial estim^tor5" for explicit estimation of
the observation spillover. Results of reference 6 indicated that tkle
modified truncation regulator and estimator (MTF and }iTE) would be
satisfactory design approaches. The direct sensor feedback (DSF)
implementation was also found to be superior under certain cen^iitions.
The use of a higher order estimator was also foun.i to be a potentially
useful method. However, the "po1^^Inonial estimator" method was not found
to be satisfactory.
FINITE ELEMENT MODEL OF A THIN FLATE
The research described above used a planar model of a free-free
beam. However, a more realistic three-axis model of a large space
structure is more desirable for controller design studies. Since
no such model was available, the task of developing a finite-element
model was undertaken. A 304.3 m < 304.8 m ^ 0.254 cm (100 ft ^ 100
ft X 0.1 in. thick), square aluminum plate was selected for this
purpose. A finite-element model was develope^3 us uiq a 25 Y 25 mesh,
3
by applying the SPAR program for structural anal} • sis. Modal frequency
and mode shape data for 44 structural modes (which represent about 30
kilowords) were stored on a magnetic taFe, and were also printed out in
a book form. This model should be useful to the NASA researchers
working in tt^e LSS control area. Figures 1 to 6 show some of the typical
mode shapes, and table 1 shows the modal frequencies.
MODAL DAMPING ENHANCEMENT IN LSS
It was found in the above described work that the closed-loop stability
of a LSS is heavily dependent on natural damping of the residual modes;
therefore, it is highly desirable to increase the damping of the residual
modes where possible. One method of achieving this is to use "member
dampers' (ref. 7). However, a systematic method is needed for the
selection of member damper gains. Therefore, a method for obtaining
optimal member damper gains wa.s developed (see Appendix). This method
has significant potential wF^^n used in conjunction with the methods
discussed above for the design of the primary controller.
CONCLUDING Re,M.'F.KS
The objective of t:.is project was to develop controller desi gn method-
ologies for LSS. To that effect, several approaches to the cont-oiler
design were proposed and discussed. It appears that tine LQG controller
theory is very well suited as the basic design tool. Of the approaches
considered, the Modified Truncation Regulator and Estimator (MTR and
MTE) design was found to be potentially the best, especiall} • when used
with Direct Sensor Feedback (DSF) implementation. The use of higher
order estimators has also shown promise. The importance of the natural
damping of the LSS to the closed-loop stability cannot be overemphasised.
The natural damping Should be increased wherever possible. To that
effect, a method was developed for the desi gn of optimal member damper
gains. Further investi gation is seeded in this area, and also in the
area of control actuator and sensor analysis and design.
-4
APPENDIX: OPTI^GIL MEMBER D.^1PER I;ONTROLLER DESIGN
FOR LARGE SPACE STUCTURES
INTRODUCTION
Control s y stems design for large flexible space structures is a complex
acrd challenging problem because of their special dvnamir characteristics.
Large space structures tend to have extremel y low-frequency, lightly damned,
bending mules which are close.v sh a;l i„ ^"e fre quency dom.rin. Because of
pointing requirements, a number of lowNr-frequency modes will probably fall
within one bandwiath of the primary controller, thus making active control of
some of t}re medes unavoidable. Since control of all the modes is impractical,
the primary controller will be reduced order. 'Phis introduces stability
problems because of observation rend control spillover irefs. -1, 5, 3). T'}re
stability of a s y stem with a reduced-order controller is heavily dependent
on the natural damping of the residual (uncontrolledl modes. Therefore, it
is desirable to increase the damping of the residual modes where possible.
The member damper approach and the application of multiple member
dampers in an output velocit y feedback cunfiguration were discussed in
reference 7. The member Gamper approach includes local damping elements
which could consist of collocated actuators and velocity sensors. Each
actuator/sensor pair is configured as a single-loop control system and the
member dampers work independently of each other. In the output velocity
feedback configuration, all the sensor signals are distributed b y a gain
matrix to interconnect all the actuators and sensors. This concept waS
further investigated ire references 9 and 10. It has been t^roved in these
references that direct velocity feedback (D^'FBl cannot jestabilice the
sy stem. Such controllers may be used in coniunction with a conventional
is
5
^- ±
modern) active controller, and have the potential to effect significant
improvement in the overall performance.
Selection of velocit y feedback gains for individual member dampers is an
important part of the design. The rout locus technique may be used for this
purpose; however, this could be a complex task, especially if a large number
of actuators are used. IrT this note, ttTe problem of selecting velocity feedback
gains is formulated as aTT optimal output feedback regulator problem, and
necessary conditions are derived for minimising a quadratic performance runct>.on.
The special structure of the gain matrix (i.e., diagonall is taken into account,
aTl d the knowledge of process noise and sensor noise is used to adi•anta^;e.
EQl1ATIONS OF ^tED16ER D,L^IfER CONTROLLERS
The structural model of a large space structure can be (approximately)
^^e^:^•rihed by the equations:
q + Dq + Aq = ^ T f (1)0 0 0 u o 0
y o ^oq o (^)
where qo is the no-dimensional vector of modal amplitudes; ^,^ is the
m X no "mode shape" matrix; f is the m X 1 generalised force vector
(components of f represent :applied forces or torques); }• is t}te m X 10
vector of generalized uisplacements (linear and angular) at the m point= of
application (e l , C ` , gym) of the generalized forces; U o is the> inherent
damping matrix, and /10 is the diagonal matrix of squared natural frequencies.
These equations describe truncated normal-coordinate continuous models, or
finite-element models.
If a member damper is coTinecte^i between two points, eq^ial and opposite
forces (torques), proportional to the sensed relative velocity (relative
b
angular velocity) between the point, are applied at the points. Thus, if
a single-member damper is connected between points t l and ^,,, the
equations are
q o D og o + ^oqo = [m l m,] ^r = [C' 1 - ^ 2 ] f (^)
where the n -vector m. is the ith column of the ^ T T,atrix, and f is theo i o
scalar force.
f = g l v l(^)
yl = (^i - ^2 ) qols)
where gl is ti)e D^'FB gain ( g l and y l are scalars).
Substitution of (J) and (S) into (.i) yie^ds
qo + ( Do - g l ^ l ^ 1 ) v, o + /lo g o = 0
(6)
where
^ I = ^ 1 - ^ 2 (^)
If p member dampers are used, the closed-loop equation becomes
PT
qo * ( Do - ^ g i ^i ^i ) qo + ^1og o = 0 (8)
i=1
where g. is the feedback gain and ^. the effective input matrix [similar1 1
to eq. (7)] for the ith damper. If g i < 0 (i = 1, _', ., p), and Do > 0,
then the effective damping matrix (coefficient matrix of qo in eq. 8) is
positive semidefinite, and the system is stable in the sense of Lyapunov;
if the effective damping matrix is positive definite, the s ystem is
as^^nptotically stable (ref. 9). It should be noted that this is only a
st^.ffic^_ent condition, and the s ystem can be asymptotically stable even thou:.
the effective damping matrix is only positive semidefinite.
OPTI^LaL OUTPUT' -EEDB.aCK FOR^NL>; I0^
=or the purrose oz controller design, n of the n o modes of the structure
are ccnsi.ered. i^ us, the "design model" is of order =:^. .although the member-
damper control s y stem is based on the lower order "design model," it cannot
destabilise :he higher order model. Therefore, this design does not suffer
:rcm the oroble:^s ass,^ciated with the use of reduced-order models in conventional
optimal regulator and estimator design. Let q denote the modal amplitude
vector ror the :nodes in the "design." T'he state equations :or the s;,stem under
consideration, including process noise and sensor noise, ma d• be written as:
x =.fix+ Buv (9)
z = '^T q + w' = Cx + '^
(10)
^..^here
q 0 I 0
x = A = B = (lI)
q _^OnXl !' -D ZnX2n W ZnXp
C = (0 `^T ^pXZn '^ ' ^'^1 '^2 'yn]nXp (1'--)
and where x is the ZnX1 state vector, u is tho pXl vector of effective
inputs, and v and ^a dre zero-mean. white process noise and measurement noise
vectors with covariance intensities V and IV. It should be noted that
C = BT . It is necessary to obtain an input of the type
u = Gz = G (Cx + w) (1^)
where
s
1I^. .
g l 0 0
,; = 0 g, J ll^)
J 0 $p
►.hick g ill minimi_e
.^
dim tl- ^ ^ x T`x ^ (GCx) T R (GCx ; ^ dt 115)._
f J
,.here ^ = QT ? 0, and R = RT > 0 are the state and control •.weighting matrices,
and ^ denotes expected value. The noise-deren^ent part of u is excluded :rom
t`;e perror:,^ance functi.n J since it ^lakes J unbellnded ;ref. 11), the octimal
Output IcPdb3Ck nrol,l^^m IJr 3 gzner3l nondiagonal rectangular G matrix '.:3s
SOlved 111 i'Cftrtn0t 11 . Hoa^ever, .ri thla case, 511101' li 15 d1a^O11;11 , LtIC minimi-
.at ion has to be performed 1^^^ : '1 respect to thr ^^ vari;lblr S 1 . ^_. ..g^^•
(If cross-reedbacks a-^e ai :^^^ee, the prcblem becomes t'le sane as t`le ^ene:'al
optima: output feedba,.:^ problem, with the constraint that the closed-loop syst.T
is stable.) Let g denote the ^^ector (, 1 , g`, ., gp)T.
Let t:^e s^ •^lbol ^ • 5 denote tale el^^ent b^' element aroduct tmatrix} or
matrices ^Y and S. T'lat is,
^ a 3 1 i ) _ ^i J ai)(16)
Define the ^. Y 1 vector-Lunt:. on ^ of a ^. X ^, matrix ,z as
all
1 1^ (^} _ -- (l-^
Yu ^ l
Y
,^._ The ;^e^e^_ary ,.on^di..^r.s for the m:... .._ of J .., equation
X15), with constraints ^f equations (9), (lUl, and (13), are given by
: - fR ,3T ^3) ^^ ( aT P B)^ -1 ^ 13T
-^°) i-^)
, .a + 3G3 r ) TP + P(.a 3GBT ) + ^ + 3GRG3 T = 0 (19)
(.a BG6T ) ^ + ^ (.a + 3GBT ) T « V + 3G^ti'GB T ^ (.0)
^^here P and .. are ?nX_n s'.--^etric matrices.
?roof.- T'he s:.ucture or _i • e proof is very similar to *_hat Uses? .or the ,enersl
optimal output feedbag: problem (ref. 11). (It should be noted that the proof
riven in ref. 11 needs slight modification ?.n light of ref. 1., although the end
result is t}^e same). The only difference is that the derivative of the Hamilto-
nian t.ith respect to the vector g (rather than the matrix G) i^ equated to
_ero. The following easily pre yed pr^^pertics of a matrix trace are used (G is
a diagonal matrix, n an^i 3 are square matrices of com patible dimension):
.g T. [Cif Gc] _-g t gT (^ S ) g ^ ^ ^ i - ^,^ 3)T ^ g ('-1)
3 Tr (G^J = ^(a)og
T,ze :act that C = 3T is also used.
It should be noted that, as in the case of the several opt:ral output
feedbac:c preblem, the t:,eorem does not gusr3ntee the existence or a g that
will maize the s y ste:^ asvmtotica L'^ • stable, although tia necessary conditions
as=.:me the °xistence. Indeed, the rerfor;^ance .`unction of equation (13)
will he meaningful only if such a g exists.
:ne opt.-al gain vector ^ ,^,a^• be computed using .ne algeri^nm si•:en
in reference 11, using equation (1R) or using a m.imerical minimisation
method (such as Davidor.-Fletcher-Powell).
('-=)
1 t)
CONCLUDING REMARKS
:ecessar^ • con^jitions ti:ere obtained for mini^^i=ing a quadratic perfor:^ance
:.:n^::on under the framewor}, of the member damper c^^ncept. Kno^:ledbe of noise
co^^ariancrs is used in the ^3esign. The ,.^etnod presented offers a systematic
approach to the ^:_ign of a class of controllers for en}lancing structural
damping in large space structures. This t^ •Fe of controller has si^nif',...:•^
,^otential if used in coniunction p ith a reduced-order optimal controller
t}lat is designed to control rigiu-body n^o.ies and some selected structural
modes.
11
REFERENCES
1. Outlook for Space: NASA SP - 386 and SP - 387, Jan. 197h.
:. Balas, Mark J.: .active Control of Flexible Systems. Symposium o^Dynamics and Control of Large Flexible Spacecraft. Blacksburg, VA,June 1977.
3. Joshi, S. H.; aiYd Roberts, A. S., .Jr.: Control S ystems Design forLarge Flexibl y Space Structures. Progress Report for NASA grant NSG1 ^3"3 , fay 1978 .
1. Joshi, S. H.; ,T.^i Groom, V. J.: Design of Reduce-Order Controllersfoi^ Large Flexible Space Structures. Proceedings of the loth ,annualAllerton Conference on Communication, Control, and Computing. Oct.4-h, 1978, pp. 780-791.
^. Jos}-i, S. ^1.; and Groom, ^. J.: Stability Bounds for the Control ofLarge Space Structures. AI.aA J. Guidance and Control, Vol. ^, No. •1,Ju' ^^-Aug . 1979.
Josh: S. fit.; and Groom, V. J.: Controller Design Approaches forLarge 'pace Structures Using LQG Control Theory. Second VPI andSU/AIA^. S^Tnposium on Dynamics and Control of Large Flexible Space-craft, (6lacksburg, VA), June _1-^3, 1979.
^. Canavin, J. R.: Control Technology for Large Space Structures.
AIAA Conference on Large Space Platforms (Los Angeles, Calif.),Sept. 1x78.
8. Balas, H. J.: Feedback Control of Flexible S ystems. IEEE Trans. Auto.Contr., Vol. AC-23, \'o. 4, Aug. 1978, pp. 673-679.
9. Balas, ^1. .J.: Direct Velocity Feedback Control of Large SpaceStructures. AI.4A .J. Guidance and Control, Vol. ', No. 3, ^tav - .June1979, pp. X52-253.
10. Strunce, R. R.; and Henderson, T. C.: Application of ^tod yrn ^1oda1
Controller Design to a Large space Structure. Second VPIF,SUSymposium on Dynamics and Control of Large Flexible Spacecraft(Blacksburg, VA), .June 1979.
11. .;^shi, S. ^1.: Design of Optimal Partial State Feedback Controllersfor Linear System: in Stochastic Environments. Proceedings of the
1975 IEEE Southeastcon (Charlotte, NC), Apr. 1975.
1_'. Walsh, F. ^1.: On Symmetric Hatrice5 and the Matrix Minimum Principle.IEEE Trans. .auto. Contr., Vol. AC-^^, No. 6, Dec. 197', pp. 995-996.
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Figure 5. Mode No. 33.
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Figure 6. Mode No. ^10.
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