Distant Retrograde Orbits

armA “distant-retrograde orbit” (DRO) is a periodic orbit in the circular restricted three-body problem (CR3BP) that, in the rotating frame, looks like a large quasi-elliptical retrograde orbit around the secondary body. Moon-centered DRO’s in the Earth-Moon system were considered as a possible destination for depositing a captured asteroid for NASA’s proposed Asteroid Redirect Mission, since they can remain stable for long periods of time (decades or even centuries).

DROs can be computed using components from the Fortran Astrodynamics Toolkit. All we need is:

  • A numerical integrator (we will use an 8th order Runge-Kutta method from Shanks [4]).
  • The equations of motion for the circular restricted three-body problem (CR3BP).
  • A nonlinear equation solver (we will use HYBRD1 from MINPACK).

We will use the canonical normalized CR3BP reference frame where the distance between the primary and secondary body is normalized to one. The initial state is placed on the x-axis, at a specified distance from the Moon. The y-velocity \(v_y\) is allowed to vary, and \(v_x=0\). The problem can be solved with two optimization variables:

  1. The time of flight for one orbit period (i.e., the duration between two consecutive x-axis crossings on the \(x>1\) side)
  2. The initial y-velocity component

and two constraints:

  1. \(y=0\) at the final time
  2. \(v_x=0\) at the final time (i.e., a perpendicular crossing of the x-axis)

The problem can be simplified to one variable and one constraint by using an integrator with an event-finding capability so that the integration proceeds until the x-axis crossing occurs (eliminating the time of flight and the \(y=0\) constraint from the optimization problem). That is how we will proceed here, since the Runge-Kutta module we are using does include an event location capability.

The code for computing a single Earth-Moon DRO is shown here:

program dro_test

 use fortran_astrodynamics_toolkit

 implicit none

 real(wp),parameter :: mu_earth = 398600.436233_wp
    !! km^3/s^2
 real(wp),parameter :: mu_moon = 4902.800076_wp
    !! km^3/s^2
 integer,parameter :: n = 6
    !! number of state variables
 real(wp),parameter :: t0 = 0.0_wp
    !! initial time (normalized)
 real(wp),parameter :: tmax = 1000.0_wp
    !! max final time (normalized)
 real(wp),parameter :: dt = 0.001_wp
    !! time step (normalized)
 real(wp),parameter :: xtol = 1.0e-4_wp
    !! tolerance for hybrd1
 integer,parameter :: maxfev = 1000
    !! max number of function evaluations for hybrd1
 real(wp),dimension(n),parameter :: x0 = &
    [1.2_wp, &
     0.0_wp, &
     0.0_wp, &
     0.0_wp, &
     -0.7_wp, &
     0.0_wp ]
    !! initial guess for DRO state (normalized)

 real(wp),dimension(1) :: vy0
    !! initial y velocity (xvec for hybrd1)
 real(wp),dimension(1) :: vxf
    !! final x velocity (fvec for hybrd1)
 real(wp) :: mu
    !! CRTPB parameter
 type(rk8_10_class) :: prop
    !! integrator
 integer :: info
    !! hybrd1 status flag

 ! compute the CRTBP parameter & Jacobi constant:
 mu = compute_crtpb_parameter(mu_earth,mu_moon)

 ! initialize integrator:
 call prop%initialize(n,func,g=x_axis_crossing)

 ! now, solve for DRO:
 vy0 = x0(5) ! initial guess
 call hybrd1(dro_fcn,1,vy0,vxf,tol=xtol,info=info)

 ! solution:
 write(*,*) ' info=',info
 write(*,*) ' vy0=',vy0
 write(*,*) ' vxf=',vxf

contains

!**************************************

subroutine dro_fcn(n,xvec,fvec,iflag)
 !! DRO function for hybrd1

 implicit none

 integer,intent(in) :: n !! `n=1` in this case
 real(wp),dimension(n),intent(in) :: xvec !! `vy0`
 real(wp),dimension(n),intent(out) :: fvec !! `vxf`
 integer,intent(inout) :: iflag !! not used here

 real(wp) :: gf,t0,tf_actual
 real(wp),dimension(6) :: x,xf

 real(wp),parameter :: tol = 1.0e-8_wp
     !! event finding tolerance

 t0   = zero    ! epoch doesn't matter for crtbp
 x    = x0      ! initial guess state
 x(5) = xvec(1) ! vy0 (only optimization variable)

 !integrate to the next x-axis crossing:
 call prop%integrate_to_event(t0,x,dt,tmax,tol,tf_actual,xf,gf)

 !want x-velocity at the x-axis crossing to be zero:
 fvec = xf(4)

end subroutine dro_fcn

!**************************************

subroutine func(me,t,x,xdot)
 !! CRTBP derivative function

 implicit none

 class(rk_class),intent(inout) :: me
 real(wp),intent(in) :: t
 real(wp),dimension(me%n),intent(in) :: x
 real(wp),dimension(me%n),intent(out) :: xdot

 call crtbp_derivs(mu,x,xdot)

end subroutine func

!**************************************

subroutine x_axis_crossing(me,t,x,g)
 !! x-axis crossing event function

 implicit none

 class(rk_class),intent(inout) :: me
 real(wp),intent(in) :: t
 real(wp),dimension(me%n),intent(in) :: x
 real(wp),intent(out) :: g

 g = x(2)  ! y = 0 at x-axis crossing

end subroutine x_axis_crossing

end program dro_test

Trajectory plots for some example solutions are shown below (each with a different x component). The L1 and L2 libration points are also shown. In this plot, the Earth is at the origin and the Moon is at [x=1,y=0]. See this example for more details.

dros

 

References

  1. The Restricted Three-Body Problem – MIT OpenCourseWare, S. Widnall 16.07 Dynamics Fall 2008, Version 1.0.
  2. C. A. Ocampo, G. W. Rosborough, “Transfer trajectories for distant retrograde orbiters of the Earth“, AIAA Spaceflight Mechanics Meeting, Pasadena, CA, Feb. 22-24, 1993.
  3. Asteroid Redirect Mission and Human Space Flight, June 19, 2013.
  4. E. B. Shanks, “Higher Order Approximations of Runge-Kutta Type“, NASA Technical Note, NASA TN D-2920, Sept. 1965.
  5. Henon, M., “Numerical Exploration of the Restricted Problem. V. Hill’s Case: Periodic Orbits and Their Stability,” Astronomy and Astrophys. Vol 1, 223-238, 1969.
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One comment on “Distant Retrograde Orbits
  1. Stefano says:

    Dear Jacob,

    this is wonderful example of “modern” Fortran application. If we consider the situation “few years ago” (say 2000 in the Fortran’s time-world) any Fortraners had re-invented the wheel, re-implemented CR3BP-RK-HYBRD1 and so on… your code is concise, clear, robust, maintainable… a perfect example of why modern Fortran is the best way to perform scientific computations: optimal performance, the best Formula translator, almost as simple as Python-R-Matlab & Co.

    Such an example should be worth to be “spread” on the net to prove the goodness in the “modern” approach.

    As always, great work!

    My best regards.

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