3. 3
ˆX
B θ
ˆy
Deputy S/C
ˆx
ˆy
2-S/C Formation Model
in the Sun-Earth-Moon System
ˆ ˆ,Z z
cr
ˆx
Chief S/C
ˆd cr r r rr= − =
ˆr
ξ
β
( ) ( )( ) ( )
Relative EOMs:
r t f r t u t=∆ +
1L 2L
dr
Ephemeris System = Sun+Earth+Moon Ephemeris + SRP
11. 11
Nominal Formation Keeping Cost
(Configurations Fixed in the RLP Frame)
Az = 0.2×106 km
Az = 1.2×106 km
Az = 0.7×106 km
( ) ( )
180 days
0
V u t u t d t∆= ⋅∫
5000 kmr =
12. 12
Max./Min. Cost Formations
(Configurations Fixed in the RLP Frame)
ˆx
Deputy S/C
Deputy S/C
Deputy S/C
Deputy S/C
Chief S/C
ˆy
ˆz
Minimum Cost Formations
ˆz
ˆy
ˆx
Deputy S/C
Deputy S/CChief S/C
Maximum Cost Formation
Nominal Relative Dynamics in the Synodic Rotating Frame
13. 13
Formation Keeping Cost Variation
Along the SEM L1 and L2 Halo Families
(Configurations Fixed in the RLP Frame)
17. 17
Continuous Control:
LQR vs. Input Feedback Linearization
( ) ( )( ) ( )r t F r t u t= + ( ) ( )( ) ( ) ( )( )
Desired Dynamic Response
Anihilate Natural Dynamics
,u t F r t g r t r t=− +
• Input Feedback Linearization (IFL)
• LQR for Time-Varying Nominal Motions
( ) ( ) ( )( ) ( )
( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( )
0
1
, , 0
0
T
T T
f
x t r r f t x t u t x x
P A t P t P t A t P t B t R B t P t Q P t−
= = → =
=− − + − → =
( ) ( )
( ) ( ) ( )( )
Nominal Control Input
1
Optimal Control, Relative to Nominal, from LQR
Optimal Control Law:
T
u t u t R B P t x t x t−
= + − −
18. 18
Dynamic Response to Injection Error
5000 km, 90 , 0ρ ξ β= = =
LQR Controller IFL Controller
( ) [ ]0 7 km 5 km 3.5 km 1 mps 1 mps 1 mps
T
xδ =− −
Dynamic Response Modeled in the CR3BP
Nominal State Fixed in the Rotating Frame
19. 19
Output Feedback Linearization
(Radial Distance Control)
( ) ( )
( )
Generalized Relative EOMs
Measured Output
r f r u t
y l r
=∆ + →
→
Formation Dynamics
Measured Output Response (Radial Distance)
Actual Response Desired Response
( ) ( ) ( )
2
2
, , ,T
p r r q r
d l
y u r g r r
dt
r== + =
Scalar Nonlinear Functions of andr r
( ) ( )( ) ( ) ( ), 0
T
h r t r t u t r t− =
Scalar Nonlinear Constraint on Control Inputs
20. 20
Output Feedback Linearization (OFL)
(Radial Distance Control in the Ephemeris Model)
• Critically damped output response achieved in all cases
• Total ∆V can vary significantly for these four controllers
r ( )
( )
( )2
, Tg r r r r r
u t r r f r
r rr
= − + − ∆
2
r
1
r
( )
( )
( )2 2
,1
2
Tg r r r r
u t r f r
r r
= − − ∆
( ) ( ) ( )2
, 3
T
r r r
u t rg r r r r f r
rr
= − − + − ∆
Control Law( ),y l r r=
( )
( ),
ˆ
h r r
u t r
r
=
Geometric Approach:
Radial inputs only
r
21. 21
OFL Control of Spherical Formations
in the Ephemeris Model
Relative Dynamics as Observed in the Inertial Frame
Nominal Sphere
( ) [ ] ( ) [ ]0 12 5 3 km 0 1 1 1 m/secr r=− =−
22. 22
OFL Control of Spherical Formations
Radial Dist. + Rotation Rate
Quadratic Growth in Cost w/ Rotation Rate
Linear Growth in Cost w/ Radial Distance
23. 23
Inertially Fixed Formations
in the Ephemeris Model
ˆe
100 km
Chief S/C
500 m
ˆ inertially fixed formation pointing vector (focal line)e =
24. 24
Conclusions
• Continuous Control in the Ephemeris Model:
– Non-Natural Formations
• LQR/IFL → essentially identical responses & control inputs
• IFL appears to have some advantages over LQR in this case
• OFL → spherical configurations + unnatural rates
• Low acceleration levels → Implementation Issues
• Discrete Control of Non-Natural Formations
– Targeter Approach
• Small relative separations → Good accuracy
• Large relative separations → Require nearly continuous control
• Extremely Small ∆V’s (10-5 m/sec)
• Natural Formations
– Nearly periodic & quasi-periodic formations in the RLP frame
– Floquet controller: numerically ID solutions + stable manifolds