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Visual Approximation of Nanosat Trajectories to Augment Ground-based Estimation Team: Aaron Aboaf, Dylan Bossie, Sean Downs, Justin Fay, Marshall Herr, Josh Kirby, Lara Lufkin, Richard Moon, Nicholas Renninger, Zach Talpas, Jerry Wang Customer: Prof. Penina Axelrad (CCAR), John Gaebler (CCAR) Advisor: Prof. Marcus Holzinger ASEN 4018 Senior Projects, Spring 2019 Test Readiness Review (TRR)
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Page 1: ASEN 4018 Senior Projects, Spring 2019 Visual Approximation of … · 2019-04-02 · 03 / 07 / 2019 Test Readiness Review Project Purpose 4 Objectives: The long term vision of this

Visual Approximation of Nanosat Trajectories to Augment Ground-based Estimation

Team: Aaron Aboaf, Dylan Bossie, Sean Downs, Justin Fay, Marshall Herr, Josh Kirby, Lara Lufkin, Richard Moon, Nicholas Renninger, Zach Talpas, Jerry Wang

Customer: Prof. Penina Axelrad (CCAR), John Gaebler (CCAR)

Advisor: Prof. Marcus Holzinger

ASEN 4018 Senior Projects, Spring 2019 Test Readiness Review (TRR)

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03 / 07 / 2019 Test Readiness Review 2

Overview Lara Lufkin

Schedule Nicholas Renninger

Test ReadinessJosh Kirby, Aaron Aboaf, Sean Downs,

Zach Talpas, Marshall Herr

Safety Status Richard Moon

Budget Justin Fay

Presenters

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03 / 07 / 2019 Test Readiness Review

Project Purpose

4

Objectives:

The long term vision of this project is to augment existing, ground-based CubeSat Space Situational Awareness (SSA)

by observing CubeSat deployments from the perspective of the NanoRacks (NR) ISS-based deployer.

This year’s VANTAGE team will produce a proof of concept for this mission by developing a ground based prototype

which will be tested using a simulated CubeSat deployment in a laboratory environment.

Project Stakeholders:● Customer: Prof. Axelrad and John Gaebler● Associated Company: NanoRacks

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Specific Objectives

5

Structures - STR(level 2)

All key system components fit in the structure, but they only need to function as a “flat sat”

Tracking - TRK(level 2)

VANTAGE software will track the states of 1-6 mock CubeSats out to 100m and report off-nominal velocities of these CubeSats

Power - EPS(level 3)

VANTAGE’s EPS will distribute power corresponding to the available power from the NR deployer

Testing - TST(level 2)

Test rigs can simulate physical deployment of up to six (6) mock CubeSats out to 100m and record position truth data

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CONOPS

6

Output Post- Process

Sensing Go! Ready! Pre- Process

Manifest Boot

Boot!

Output Post- Process

Sensing Go! Ready! Pre- Process

Manifest Boot Output Post- Process

Sensing Go! Ready! Pre- Process

Manifest Boot

Deployment Tube, Number of Sats, Type of Sats, Etc.

Extract Relevant Information

Output Post- Process

Sensing Go! Ready! Pre- Process

Manifest Boot

Ready For Launch!

Output Post- Process

Sensing Go! Ready! Pre- Process

Manifest Boot

Launching!

Output Post- Process

Sensing Go! Ready! Pre- Process

Manifest Boot Output Post- Process

Sensing Go! Ready! Pre- Process

Manifest Boot

Calculate Position and Velocity

Output Post- Process

Sensing Go! Ready! Pre- Process

Manifest Boot

Output File

Output Post- Process

Sensing Go! Ready! Pre- Process

Manifest Boot

6

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Baseline Design Overview

7

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Baseline Design Overview

8

V A N T A G E

Monochrome Camera

Acquire Data

Time of Flight (TOF) Camera

Avionics and Software

Next Unit of Computing

(NUC)

MATLAB SW

Interface With NanoRacks

Ground-based Hardware

External Mounting

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Shelf holds VANTAGE structure

VANTAGE

Modular Test Overview

9

*Full Track Not Shown*

10m

V

Motor pulls Cart

On the Ground

Cart holds up to 6 1U mock cubesats

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Test Readiness Review03 / 07 / 2019 10

100m

t0 t1 t3

100m Test Overview

CubeSat Kabob10ft Test BoomGPS unit

Legend

Up to 6U of CubeSats

VANTAGE (stationary)

Roof rack mounts to vehicle

Steel boom to extend mock cubesats from vehicle

Cubesat Kabob for mock cubesat configurations

t2

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Design Updates Since MSR

● Modular test motor changed from a stepper motor to a DC brushless motor to increase velocity range and decrease complexity.

11

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Critical Manufacturing Elements

12

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Critical Testing Elements

13

CPE Summary Specific Objective Testing Item

Calculate Individual CubeSat Position and Velocity Within Error

Bounds

Tracking Lvl. 2Use Simulated Data to

Verify Software and Data Handling Functionality

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Critical Test Elements

14

CPE Summary Specific Objective Testing Task

Individual Components Will Fit Inside the VANTAGE

Structure and the Structure Will Interface With the

NanoRacks System

Structures Lvl. 2

The VANTAGE Structure Will Be Integrated Onto the

NanoRacks Deployer to Verify Compliance

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Critical Testing Elements

15

CPE Summary Specific Objective Testing Task

VANTAGE Captures and Stores Sensor Data for

Future Processing

Command & Data Handling Lvl. 2

Use Modular Test Data to Verify Sensor Functionality

and Software Integration

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Critical Testing Elements

16

CPE SummarySpecific

ObjectiveTesting Task

Captured Images are Processed by

C&DH and Communicated

to the Mock Deployer

Tracking Lvl. 2

C&DH Lvl. 2

Use the 100m Test to Verify Multiple System Functionality and Integration

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Software Test Schedule

TRR SFRAIAA SPS

Critical PathSafety

ElectronicsSoftware

SensorsStructures

TestingFinance

All Tasks have built in 10% approximate margin

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03 / 07 / 2019 Test Readiness Review

Modular Test Schedule

TRR SFRAIAA SPS

Critical PathSafety

ElectronicsSoftware

SensorsStructures

TestingFinance

All Tasks have built in 10% approximate margin

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100m Test Schedule

20

TRR SFRAIAA SPS

Critical PathSafety

ElectronicsSoftware

SensorsStructures

TestingFinance

All Tasks have built in 10% approximate margin

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Testing OverviewSubsystem Testing Integration Testing System Testing

22

100 m Test

Sensors-Structural Integration Test

Sensors-Software Integration Test

EPS Load Test

Modular Test Structural Fit

Sensors-Modular Test Rig Integration Test

VICON Error Characterization

Software Functions

Sensor Calibration

GPS Error Characterization

100 m Test Structural Fit

VICON-VANTAGE Data Integration

Sensors-NUC Integration Test

Raspberry Pi & NUC LAN Boot

LegendIn ProgressNot Started

Completed

Simulation Test

Modular Test

Electrical System

Structures-NanoRacks Deployer Fit Test

Modular Test Motor Test

Data Transfer Test

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Software Integration TestingSubsystem Testing Integration Testing System Testing

23

LegendIn ProgressNot Started

Completed

100 m Test

Sensors-Structural Integration Test

Sensors-Software Integration Test

EPS Load Test

Modular Test Structural Fit

Sensors-Modular Test Rig Integration Test

VICON Error Characterization

Software Functions

Sensor Calibration

GPS Error Characterization

100 m Test Structural Fit

VICON-VANTAGE Data Integration

Sensors-NUC Integration Test

Raspberry Pi & NUC LAN Boot

Simulation Test

Modular Test

Electrical System

Structures-NanoRacks Deployer Fit Test

Modular Test Motor Test

Data Transfer Test

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Sensor-Hardware Integration

24

Project Risks Mitigated:● Verify that sensors can capture integrated test data

● Verify that physical data can be used for more robust software validation

Model Validated Risk Buy-Down Expected Results Status Obstacles/Mitigation

Validate sensor

integration with

VANTAGE software for

automated data capture

VANTAGE can

perform

integrated tests

Automated point cloud and grayscale image outputs from

sensors

Initial setup complete

Ensuring consistent data

capture/Extensive modular testing,

reallocating resources

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TOF Camera Integration

25

Simulation Data (from Modular Test Simulation)

Actual ToF Sensor Data (from Modular Test)

CubeSat Models

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Optical Camera Integration

26

Actual Optical Camera Data (Modular Test)

Simulation Data

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Integrated System Object Detection

27

Optical Object Detections

ToF Object Detection

Model Validated Risk Buy-Down Expected Results Status Obstacles/Mitigation

Validate processing of

test data to meet

software requirements

Using simulated data to increase real-world testing efficiency

Object detection in both grayscale and point cloud data sets

Unit tests for major functionality written

Pipelining unit tests into full system/Collaborative coding sessions

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Structural Interface TestingSubsystem Testing Integration Testing System Testing

28

LegendIn ProgressNot Started

Completed

100 m Test

Sensors-Structural Integration Test

Sensors-Software Integration Test

EPS Load Test

Modular Test Structural Fit

Sensors-Modular Test Rig Integration Test

VICON Error Characterization

Software Functions

Sensor Calibration

GPS Error Characterization

100 m Test Structural Fit

VICON-VANTAGE Data Integration

Sensors-NUC Integration Test

Raspberry Pi & NUC LAN Boot

Simulation Test

Modular Test

Electrical System

Structures-NanoRacks Deployer Fit Test

Modular Test Motor Test

Data Transfer Test

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Structural Interface TestOBJECTIVE: Be Mechanical ICD Compliant with NanoRacks Hardware

+

29

Model Validated Risk Buy-Down Expected Results Status Obstacles/MitigationValidate CAD and CAM

for building the

VANTAGE structure to

support future iterations

VANTAGE

provides a future

platform for flight

payloads

Structure integrates with the

NanoRacks Deployer

In Manufacturing

Machining Time/ Early Completion and Plenty of Extra Time

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Sensor Calibration TestingSubsystem Testing Integration Testing System Testing

30

100 m Test

Sensors-Structural Integration Test

Sensors-Software Integration Test

EPS Load Test

Modular Test Structural Fit

Sensors-Modular Test Rig Integration Test

VICON Error Characterization

Software Functions

Sensor Calibration

GPS Error Characterization

100 m Test Structural Fit

VICON-VANTAGE Data Integration

Sensors-NUC Integration Test

Raspberry Pi & NUC LAN Boot

LegendIn ProgressNot Started

Completed

Simulation Test

Modular Test

Electrical System

Structures-NanoRacks Deployer Fit Test

Modular Test Motor Test

Data Transfer Test

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Sensor Calibration TestObjective: To calculate each camera’s intrinsic parameters and relative

position and orientation between the two cameras.

31

Models Validated

Risk Buy-Down Expected Results StatusObstacles/Mitigation

Pinhole Camera Model, Mechanical

Mounting Model

Tracing sources of error, systematic biases in data

Knowledge of pointing of sensors should be well within total error

requirements

Iterating to improve

uncertainty

Large calibration uncertainties ->

More, smarter samples

Preliminary Stereo Calibration Results: Measurements + uncertainty within expectations from mechanical model:● Angular Uncertainty: [2.67 4.82 0.34] degrees [x,y,z]● Camera Relative Positional Uncertainty: 12 mm

Procedure: Take images of a checkerboard in various orientations with both

cameras at the same time. Use stereo camera calibration techniques to

determine positional and angular orientation and uncertainties

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Modular Test OverviewSubsystem Testing Integration Testing System Testing

32

LegendIn ProgressNot Started

Completed

100 m Test

Sensors-Structural Integration Test

Sensors-Software Integration Test

EPS Load Test

Modular Test Structural Fit

Sensors-Modular Test Rig Integration Test

VICON Error Characterization

Software Functions

Sensor Calibration

GPS Error Characterization

100 m Test Structural Fit

VICON-VANTAGE Data Integration

Sensors-NUC Integration Test

Raspberry Pi & NUC LAN Boot

Simulation Test

Modular Test

Electrical System

Structures-NanoRacks Deployer Fit Test

Modular Test Motor Test

Data Transfer Test

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Modular Test Objectives

Test ObjectivesRelevant

DR’s

Camera system functionality and single infocus image returnDR.1.1DR.1.3DR.1.4

Mock cubesat detection at 10 m range DR.5.2

Position vector and velocity vector measurements are within error bounds for 10 m range

DR.6.1DR.6.2

Off-nominal ejection times and velocitiesDR.7.2DR.7.3

Most Critical for Project Success

33

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Modular Test Overview/Procedure

34

VICON Cameras

Motor Assembly

Cart

Shelf

VANTAGE System

VTrack

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03 / 07 / 2019 Test Readiness Review

Modular Test Overview

Status

● Initial data collection has been done

● Error inherent in VICON has been characterized

● Motor re-design in progress○ Motor Controller underperforming: max

velocity ~0.625 m/s

○ Switching to a new motor with triple the torque that doesn’t require a controller

Equipment/Facilities

● Two Power Supplies (TOF Camera & Motor)

● Modular Test Rig

● VICON Tracker Balls

● VANTAGE Sensor Package

● Test done at RECUV VICON Lab

35

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Modular Test Results

36

Expected Results Test Objectives

Images of mock cubesats being deployed Camera system functionality and single infocus image return

VANTAGE frame x,y,z cubesat centroid

positionsMock cubesat detection at 10 m range

VICON x,y,z positions & a fixed position

offset vector from VICON object center to

each cubesat centroid

Position vector and velocity vector measurements are within error bounds for 10 m range

Data from off-nominal deployments Off-nominal ejection times and velocities

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VICON Error Characterization

37

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100 m Test OverviewSubsystem Testing Integration Testing System Testing

38

LegendIn ProgressNot Started

Completed

100 m Test

Sensors-Structural Integration Test

Sensors-Software Integration Test

EPS Load Test

Modular Test Structural Fit

Sensors-Modular Test Rig Integration Test

VICON Error Characterization

Software Functions

Sensor Calibration

GPS Error Characterization

100 m Test Structural Fit

VICON-VANTAGE Data Integration

Sensors-NUC Integration Test

Raspberry Pi & NUC LAN Boot

Simulation Test

Modular Test

Electrical System

Structures-NanoRacks Deployer Fit Test

Modular Test Motor Test

Data Transfer Test

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100m Test Objectives

Test ObjectivesRelevant

DR’s

Mock cubesat detection at 100 m range DR.5.2

Position vector and velocity vector measurements are within error bounds for 100 m range

DR.6.1DR.6.2

Report data larger data file back to the user within allotted time DR.8.1

Most Critical for Project Success

39

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03 / 07 / 2019 Test Readiness Review 40

100m Test Overview100m

t0

Up to 6U of CubeSats

CubeSat Kabob10ft Test BoomGPS unit

Legend

VANTAGE (stationary)

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100m Test Overview

41

Status

● All fit checks have been completed

● Done a dry run of on site setup

● GPS uncertainty characterized

● Waiting for software to work with modular

test data to characterize VANTAGE

uncertainty○ Ready to test when software is ready for full

system automated testing

Equipment / Facilities

● Boulder Airport location works great

● Power generator available from Trudy

● All test rig stuff is ready

● VANTAGE sensor package ready with student

computer ground station

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100 m Test Results

42

*Includes a fixed position offset vector from GPS antenna to each cubesat centroid

Expected Results Test Objectives

Images of mock cubesats being deployed Mock cubesat detection at 100 m range

VANTAGE frame x,y,z cubesat centroid

positions & GPS truth x,y,z positions*

Position vector and velocity vector measurements are within error bounds for 100 m range

VANTAGE output file Report data larger data file back to the user within allotted time

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GPS Noise Characterization

43

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100m Test Velocity Characterization

44

Avg Value = 1.75 m/s

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Safety Procedures For Testing

Testing Procedures and Safety Regulations have been created for each of VANTAGE’s main tests.

46

Modular Test

● When entering and exiting the VICON space, individuals should take precautions not to trip over or knock into VICON netting or cameras.

● No person should handle the cart, spool, or motor while the motor is on.

● Sensors should be handled with two hands and stored carefully.

● Each individual should stand at least two feet away from the testing system while it is running.

100m Test

● To ensure equipment safety, all equipment shall be transported and set up according to testing procedures. All testing will be rescheduled to avoid inclement weather.

● All members present during testing should be familiar with the testing procedures. While running a test, all members will stand at least 10m away from the vehicle.

● To avoid obstacles while in motion, clear communication protocols will be used and motion paths will be planned out before moving the vehicle.

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03 / 07 / 2019 Test Readiness Review 48

Budget

Subsystem: Structures Sensors Software Electronics Testing Total

CDR Expected Total: $365.86 $2,430.00 $0.00 $916.22 $645.85 $3,992.07

Remaining Purchases: $0.00 $0.00 $0.00 $0.00 $0.00 $0.00

Total Spent: $286.33 $2,589.13 $0.00 $207.44 $582.34 $3,665.24

Current Expected Total: $286.33 $2,589.13 $0.00 $207.44 $582.34 $3,665.24

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