RSO Inspection
This example demonstrates the configuration of a resident space object (RSO) inspection environment, in which a servicer spacecraft circumnavigates a RSO to image the illuminated facets.
[1]:
from importlib.metadata import version
from bsk_rl import sats, obs, act, ConstellationTasking, scene, data
from bsk_rl.obs.relative_observations import rso_imaged_regions
from bsk_rl.utils.orbital import fibonacci_sphere
from bsk_rl.sim import dyn, fsw
import types
import numpy as np
from Basilisk.architecture import bskLogging
from functools import partial
from bsk_rl.utils.orbital import random_orbit, random_unit_vector, relative_to_chief
from Basilisk.utilities.orbitalMotion import elem2rv
from Basilisk.utilities.RigidBodyKinematics import C2MRP
bskLogging.setDefaultLogLevel(bskLogging.BSK_WARNING)
RLlib is actively developed and can change significantly from version to version. For this script, the following version is used:
[2]:
version("ray") # Parent package of RLlib
[2]:
'2.35.0'
Defining the Satellites
First, the RSO satellite is configured. It is given support for nadir pointing through the ImagingDynModel and Downlink action.
[3]:
class RSOSat(sats.Satellite):
observation_spec = [
obs.SatProperties(dict(prop="one", fn=lambda _: 1.0)),
]
action_spec = [act.Downlink(duration=1e9)]
dyn_type = types.new_class(
"Dyn", (dyn.ImagingDynModel, dyn.ConjunctionDynModel, dyn.RSODynModel)
)
fsw_type = fsw.ContinuousImagingFSWModel
Arguments for the satellite are configured for smooth pointing behavior.
[4]:
rso_sat_args = dict(
conjunction_radius=2.0,
K=7.0 / 20,
P=35.0 / 20,
Ki=1e-6,
dragCoeff=0.0,
batteryStorageCapacity=1e9,
storedCharge_Init=1e9,
wheelSpeeds=[0.0, 0.0, 0.0],
u_max=1.0,
)
The inspector satellite has a more complex configuration. First, an observation function for the sun vector is defined.
[5]:
def sun_hat_chief(self, other):
r_SN_N = (
self.simulator.world.gravFactory.spiceObject.planetStateOutMsgs[
self.simulator.world.sun_index
]
.read()
.PositionVector
)
r_BN_N = self.dynamics.r_BN_N
r_SN_N = np.array(r_SN_N)
r_SB_N = r_SN_N - r_BN_N
r_SB_N_hat = r_SB_N / np.linalg.norm(r_SB_N)
HN = other.dynamics.HN
return HN @ r_SB_N_hat
The inspector satellite is configured with observations relating to the relative state and the mission objectives. The satellite is given an action for impulsively thrusting and drifting. The dynamics and flight software models introduce a maximum range check, collision checking orbital maneuvers, and RSO inspection.
[6]:
class InspectorSat(sats.Satellite):
observation_spec = [
obs.SatProperties(
dict(prop="dv_available", norm=10),
dict(prop="inclination", norm=np.pi),
dict(prop="eccentricity", norm=0.1),
dict(prop="semi_major_axis", norm=7000),
dict(prop="ascending_node", norm=2 * np.pi),
dict(prop="argument_of_periapsis", norm=2 * np.pi),
dict(prop="true_anomaly", norm=2 * np.pi),
dict(prop="beta_angle", norm=np.pi),
),
obs.ResourceRewardWeight(),
obs.RelativeProperties(
dict(prop="r_DC_Hc", norm=500),
dict(prop="v_DC_Hc", norm=5),
dict(
prop="rso_imaged_regions",
fn=partial(
rso_imaged_regions,
region_centers=fibonacci_sphere(15),
frame="chief_hill",
),
),
dict(prop="sun_hat_Hc", fn=sun_hat_chief),
chief_name="RSO",
),
obs.Eclipse(norm=5700),
obs.Time(),
]
action_spec = [
act.ImpulsiveThrustHill(
chief_name="RSO",
max_dv=1.0,
max_drift_duration=5700.0 * 2,
fsw_action="action_inspect_rso",
)
]
dyn_type = types.new_class(
"Dyn",
(
dyn.MaxRangeDynModel,
dyn.ConjunctionDynModel,
dyn.RSOInspectorDynModel,
),
)
fsw_type = types.new_class(
"FSW",
(
fsw.SteeringFSWModel,
fsw.MagicOrbitalManeuverFSWModel,
fsw.RSOInspectorFSWModel,
),
)
Generous configurations are used for the inspector, allowing for “sloppy” attitude control with a low simulation step rate.
[7]:
inspector_sat_args = dict(
imageAttErrorRequirement=1.0,
imageRateErrorRequirement=None,
instrumentBaudRate=1,
dataStorageCapacity=1e6,
batteryStorageCapacity=1e9,
storedCharge_Init=1e9,
conjunction_radius=2.0,
dv_available_init=10.0,
max_range_radius=1000,
chief_name="RSO",
u_max=1.0,
)
Environment Generation
A satellite argument randomizer is defined to configure the initial state of the satellites. The RSO is put into a random orbit with an apogee and perigee between 500 km and 1100 km. The inspector is placed in the region 250 to 750 meters from the RSO, with up to 1 m/s of relative velocity. Finally, the RSO’s attitude and body rate are set up to be in the nadir-pointing initial configuration.
[8]:
def sat_arg_randomizer(satellites):
# Generate the RSO orbit
R_E = 6371.0 # km
a = R_E + np.random.uniform(500, 1100)
e = np.random.uniform(0.0, min(1 - (R_E + 500) / a, (R_E + 1100) / a - 1))
chief_orbit = random_orbit(a=a, e=e)
inspectors = [sat for sat in satellites if "Inspector" in sat.name]
rso = [satellite for satellite in satellites if satellite.name == "RSO"][0]
# Generate the inspector initial states.
args = {}
for inspector in inspectors:
relative_randomizer = relative_to_chief(
chief_name="RSO",
chief_orbit=chief_orbit,
deputy_relative_state={
inspector.name: lambda: np.concatenate(
(
random_unit_vector() * np.random.uniform(250, 750),
random_unit_vector() * np.random.uniform(0, 1.0),
)
),
},
)
args.update(relative_randomizer([rso, inspector]))
# Align RSO Hill frame for initial nadir pointing
mu = rso.sat_args_generator["mu"]
r_N, v_N = elem2rv(mu, args[rso]["oe"])
r_hat = r_N / np.linalg.norm(r_N)
v_hat = v_N / np.linalg.norm(v_N)
x = r_hat
z = np.cross(r_hat, v_hat)
z = z / np.linalg.norm(z)
y = np.cross(z, x)
HN = np.array([x, y, z])
BH = np.eye(3)
a = chief_orbit.a
T = np.sqrt(a**3 / mu) * 2 * np.pi
omega_BN_N = z * 2 * np.pi / T
args[rso]["sigma_init"] = C2MRP(BH @ HN)
args[rso]["omega_init"] = BH @ HN @ omega_BN_N
return args
The scenario is configured to set the RSO geometry as a sphere with 100 points at a radius of 1 meter. Points must be imaged within 30 degrees of their normal, with illumination coming from no more than 60 degrees from normal. The inspector must be within 250 meters to inspect the RSO.
[9]:
scenario = scene.SphericalRSO(
n_points=100,
radius=1.0,
theta_max=np.radians(30),
range_max=250,
theta_solar_max=np.radians(60),
)
This scenario uses two rewarders. For the RSO inspection component of the task, a bonus of 1.0 is yielded once at least 90% of the illuminated points have been inspected. The ResourceReward is used to penalize fuel use, with some basic logic add to only apply the reward to the Inspector.
[10]:
rewarders = (
data.RSOInspectionReward(
completion_bonus=1.0,
completion_threshold=0.90,
),
data.ResourceReward(
resource_fn=lambda sat: sat.fsw.dv_available
if isinstance(sat.fsw, fsw.MagicOrbitalManeuverFSWModel)
else 0.0,
reward_weight=np.random.uniform(0.0, 0.5),
),
)
With all the components defined, the environment can be instantiated.
[11]:
env = ConstellationTasking(
satellites=[
RSOSat("RSO", sat_args=rso_sat_args),
InspectorSat("Inspector", sat_args=inspector_sat_args, obs_type=dict),
],
sat_arg_randomizer=sat_arg_randomizer,
scenario=scenario,
rewarder=rewarders,
time_limit=60000,
sim_rate=5.0,
log_level="INFO",
)
Environment Interaction
The environment is reset and randomly stepped through.
Future Work: This example will be updated with an actual trained policy in the future.
[12]:
env.reset()
for i in range(4):
env.step(dict(RSO=0, Inspector=env.action_space("Inspector").sample()))
2025-12-03 22:24:06,448 gym INFO Resetting environment with seed=1861128318
2025-12-03 22:24:06,595 gym INFO <0.00> Environment reset
/opt/hostedtoolcache/Python/3.11.14/x64/lib/python3.11/site-packages/gymnasium/spaces/box.py:130: UserWarning: WARN: Box bound precision lowered by casting to float32
gym.logger.warn(f"Box bound precision lowered by casting to {self.dtype}")
2025-12-03 22:24:06,597 gym INFO <0.00> === STARTING STEP ===
2025-12-03 22:24:06,597 sats.satellite.RSO INFO <0.00> RSO: action_downlink tasked for 1000000000.0 seconds
2025-12-03 22:24:06,598 sats.satellite.RSO INFO <0.00> RSO: setting timed terminal event at 1000000000.0
2025-12-03 22:24:06,600 sats.satellite.Inspector INFO <0.00> Inspector: Thrusting with inertial dV [-0.29854775 -0.1123522 0.36177095] with 10077.5185546875 second drift.
2025-12-03 22:24:06,600 sats.satellite.Inspector INFO <0.00> Inspector: setting timed terminal event at 10077.5
2025-12-03 22:24:06,601 sats.satellite.Inspector INFO <0.00> Inspector: FSW action action_inspect_rso activated.
2025-12-03 22:24:06,675 sats.satellite.Inspector INFO <1555.00> Inspector: Exceeded maximum range of 1000 m from RSO
2025-12-03 22:24:06,681 data.rso_inspection INFO <1555.00> Inspected/Illuminated/Total: 0/45/100
2025-12-03 22:24:06,682 data.composition INFO <1555.00> ResourceReward reward: {'Inspector': np.float64(-0.1716415352052667)}
2025-12-03 22:24:06,682 data.base INFO <1555.00> Total reward: {'Inspector': np.float64(-0.1716415352052667)}
2025-12-03 22:24:06,684 sats.satellite.Inspector WARNING <1555.00> Inspector: failed range_valid check
2025-12-03 22:24:06,687 gym INFO <1555.00> Step reward: {'Inspector': np.float64(-1.1716415352052667)}
2025-12-03 22:24:06,688 gym INFO <1555.00> Episode terminated: ['Inspector']
2025-12-03 22:24:06,688 gym INFO <1555.00> === STARTING STEP ===
2025-12-03 22:24:06,689 sats.satellite.RSO INFO <1555.00> RSO: action_downlink tasked for 1000000000.0 seconds
2025-12-03 22:24:06,690 sats.satellite.RSO INFO <1555.00> RSO: setting timed terminal event at 1000001555.0
2025-12-03 22:24:06,691 sats.satellite.Inspector INFO <1555.00> Inspector: Thrust clamped from 1.0919050785676085 m/s to 1.0 m/s.
2025-12-03 22:24:06,691 sats.satellite.Inspector INFO <1555.00> Inspector: Thrusting with inertial dV [-0.14126536 0.7826038 -0.60627996] with 8097.640625 second drift.
2025-12-03 22:24:06,692 sats.satellite.Inspector INFO <1555.00> Inspector: setting timed terminal event at 9652.6
2025-12-03 22:24:06,693 sats.satellite.Inspector INFO <1555.00> Inspector: FSW action action_inspect_rso activated.
2025-12-03 22:24:07,051 sats.satellite.Inspector INFO <9655.00> Inspector: timed termination at 9652.6
2025-12-03 22:24:07,067 data.rso_inspection INFO <9655.00> Inspected/Illuminated/Total: 0/79/100
2025-12-03 22:24:07,068 data.composition INFO <9655.00> ResourceReward reward: {'Inspector': np.float64(-0.35586695993620426)}
2025-12-03 22:24:07,069 data.base INFO <9655.00> Total reward: {'Inspector': np.float64(-0.35586695993620426)}
2025-12-03 22:24:07,069 sats.satellite.Inspector INFO <9655.00> Inspector: Satellite Inspector requires retasking
2025-12-03 22:24:07,071 gym INFO <9655.00> Step reward: {}
2025-12-03 22:24:07,071 gym INFO <9655.00> === STARTING STEP ===
2025-12-03 22:24:07,072 sats.satellite.RSO INFO <9655.00> RSO: action_downlink tasked for 1000000000.0 seconds
2025-12-03 22:24:07,073 sats.satellite.RSO INFO <9655.00> RSO: setting timed terminal event at 1000009655.0
2025-12-03 22:24:07,074 sats.satellite.Inspector INFO <9655.00> Inspector: Thrust clamped from 1.3539222020250983 m/s to 1.0 m/s.
2025-12-03 22:24:07,074 sats.satellite.Inspector INFO <9655.00> Inspector: Thrusting with inertial dV [0.42526431 0.66328056 0.61579961] with 7514.35791015625 second drift.
2025-12-03 22:24:07,075 sats.satellite.Inspector INFO <9655.00> Inspector: setting timed terminal event at 17169.4
2025-12-03 22:24:07,076 sats.satellite.Inspector INFO <9655.00> Inspector: FSW action action_inspect_rso activated.
2025-12-03 22:24:07,384 sats.satellite.Inspector INFO <17170.00> Inspector: timed termination at 17169.4
2025-12-03 22:24:07,399 data.rso_inspection INFO <17170.00> Inspected/Illuminated/Total: 0/79/100
2025-12-03 22:24:07,399 data.composition INFO <17170.00> ResourceReward reward: {'Inspector': np.float64(-0.35586695993620426)}
2025-12-03 22:24:07,400 data.base INFO <17170.00> Total reward: {'Inspector': np.float64(-0.35586695993620426)}
2025-12-03 22:24:07,400 sats.satellite.Inspector INFO <17170.00> Inspector: Satellite Inspector requires retasking
2025-12-03 22:24:07,402 gym INFO <17170.00> Step reward: {}
2025-12-03 22:24:07,403 gym INFO <17170.00> === STARTING STEP ===
2025-12-03 22:24:07,403 sats.satellite.RSO INFO <17170.00> RSO: action_downlink tasked for 1000000000.0 seconds
2025-12-03 22:24:07,404 sats.satellite.RSO INFO <17170.00> RSO: setting timed terminal event at 1000017170.0
2025-12-03 22:24:07,405 sats.satellite.Inspector INFO <17170.00> Inspector: Thrust clamped from 1.2485874354562423 m/s to 1.0 m/s.
2025-12-03 22:24:07,406 sats.satellite.Inspector INFO <17170.00> Inspector: Thrusting with inertial dV [-0.21937327 -0.64540381 0.731662 ] with 9945.8955078125 second drift.
2025-12-03 22:24:07,408 sats.satellite.Inspector INFO <17170.00> Inspector: setting timed terminal event at 27115.9
2025-12-03 22:24:07,408 sats.satellite.Inspector INFO <17170.00> Inspector: FSW action action_inspect_rso activated.
2025-12-03 22:24:07,825 sats.satellite.Inspector INFO <27120.00> Inspector: timed termination at 27115.9
2025-12-03 22:24:07,841 data.rso_inspection INFO <27120.00> Inspected/Illuminated/Total: 0/79/100
2025-12-03 22:24:07,841 data.composition INFO <27120.00> ResourceReward reward: {'Inspector': np.float64(-0.35586695993620426)}
2025-12-03 22:24:07,842 data.base INFO <27120.00> Total reward: {'Inspector': np.float64(-0.35586695993620426)}
2025-12-03 22:24:07,842 sats.satellite.Inspector INFO <27120.00> Inspector: Satellite Inspector requires retasking
2025-12-03 22:24:07,845 gym INFO <27120.00> Step reward: {}