space mission concept design
TRANSCRIPT
David Mauro, KBR / NASA Ames Research Center [email protected] 1
Space Mission Concept Design
at the NASA Ames Mission Design Center (MDC)
Stanford University
David Mauro, KBR / NASA Ames Research Center
Agenda
2David Mauro, KBR / NASA Ames Research Center [email protected]
β’ Space Mission Concept Design at NASA Amesβ’ What the Ames MDC isβ’ A framework for space mission ideas β The Concept Maturity Levelsβ’ Aeolus: an example of a mission concept study for Marsβ’ Lessons learned and tips
β’ Overview on how to design a spacecraft telecommunication subsystemβ’ Overview on the main design considerationsβ’ The Link Budget
β’ Summary & Conclusion
Mission Design Center - What is it?
https://www.nasa.gov/centers/ames/engineering/mission-design-center/about
3David Mauro, KBR / NASA Ames Research Center [email protected]
Credit: Amanda Waltz
5David Mauro, KBR / NASA Ames Research Center [email protected]
A framework for space mission ideas
The Concept Maturity Levels
From: Space Mission Concept Development Using Concept Maturity Levels, Wessen et al., 2013
6David Mauro, KBR / NASA Ames Research Center [email protected]
7David Mauro, KBR / NASA Ames Research Center [email protected]
Aeolus: an example of a mission concept study for
Mars
8
CML 1
βCocktail Napkinβ
David Mauro, KBR / NASA Ames Research Center [email protected]
Aeolus: an example of a mission concept study for
Mars
9
CML 1
βCocktail Napkinβ
David Mauro, KBR / NASA Ames Research Center [email protected]
Aeolus: an example of a mission concept study for
Mars
10
CML 1
βCocktail Napkinβ
David Mauro, KBR / NASA Ames Research Center [email protected]
Aeolus: an example of a mission concept study for
Mars
11
CML 1
βCocktail Napkinβ
David Mauro, KBR / NASA Ames Research Center [email protected]
Opportunity December 2011 (Credit NASA)
Aeolus: an example of a mission concept study for
Mars
CML 1: Initial Cartoon
Meaningfulness & Uniqueness
Identify Knowledge Gaps
State Broad Science Objective
One-sentence description of measurement(s)
12David Mauro, KBR / NASA Ames Research Center [email protected]
CML 1
βCocktail Napkinβ
CML 2
Feasibility
Does any
solution
exist?
Aeolus: an example of a mission concept study for
Mars
13David Mauro, KBR / NASA Ames Research Center [email protected]
CML 2: Feasibility Study
Resource CBE
Volume45 x 35 x 52
cm Total Launch Mass 37.6 kg
Total Power 53 W
Spacecraft Delta-V 237.5 m/sSolid State Data Storage (Vol)
8GB
Data Throughput (UHF Downlink)
1Mbps
Draft of Science Traceability Matrix
Mission Architecture β main elements
Environmental driving parameters
Identify required tech development
Launch opportunities
Delta-V calculations
Orbital solutions
Mission ops
Spacecraft CAD model
Rough cost estimate
Rough schedule
Initial risks & mitigation identified
Future trades identified
14David Mauro, KBR / NASA Ames Research Center [email protected]
Develop Feasible Mission Architecture
Link Budget
Orbital Mechanic
Power Budget
Propellant budget
ADCS
CAD Visualization
Mass Budget
Data Budget
Concept of Operations
Science
Risks & Tech Dev
Cost
15David Mauro, KBR / NASA Ames Research Center [email protected]
Mission Concept
LaunchCruise 15 months
17David Mauro, KBR / NASA Ames Research Center [email protected]
Mission Concept
LaunchCruise 15 months
NeMO LTT10 months
18David Mauro, KBR / NASA Ames Research Center [email protected]
Mission Concept
LaunchAeolus Stowed
Cruise 15 months
NeMO LTT10 months
19David Mauro, KBR / NASA Ames Research Center [email protected]
Mission Concept
AeolusDeploy
LaunchAeolus Stowed
Cruise 15 months
NeMO LTT10 months
20David Mauro, KBR / NASA Ames Research Center [email protected]
Mission Concept
Orbit Transfer
AeolusDeploy
LaunchAeolus Stowed
Cruise 15 months
NeMO LTT10 months
21David Mauro, KBR / NASA Ames Research Center [email protected]
Mission Concept
Orbit Transfer
AeolusDeploy
LaunchAeolus Stowed
Cruise 15 months
NeMO LTT10 months
Commiss. 3 months
22David Mauro, KBR / NASA Ames Research Center [email protected]
Mission Concept
Orbit Transfer
AeolusDeploy
LaunchAeolus Stowed
Cruise 15 months
NeMO LTT10 months
Science24 months
Commiss. 3 months
23David Mauro, KBR / NASA Ames Research Center [email protected]
Mission Concept
Science24 months
Orbit Transfer
AeolusDeploy
LaunchAeolus Stowed
Cruise 15 months
NeMO LTT10 months
Commiss. 3 months
Decommission
Total Mission Duration
52 months
24David Mauro, KBR / NASA Ames Research Center [email protected]
Develop Feasible Mission Architecture
Orbital Mechanic
Power BudgetADCS
CAD Visualization
Mass Budget
Data Budget
Concept of Operations
Science
Risks & Tech Dev
Cost Link Budget πΈπ
ππππ΅ = πΈπΌπ π + πΏππ π ππ πππππ, πππππ‘πππ, ππππππ +
G
Tβ dataratedB + 228.6
Propellant budget
βπ = π β πΌπ π β lnππππππ
πππππ‘πππ
25David Mauro, KBR / NASA Ames Research Center [email protected]
Develop Feasible Mission Architecture
Orbital Mechanic
Power BudgetADCS
CAD Visualization
Mass Budget
Data Budget
Concept of Operations
Science
Risks & Tech Dev
Cost Link Budget πΈπ
ππππ΅ = πΈπΌπ π + πΏππ π ππ πππππ, πππππ‘πππ, ππππππ +
G
Tβ dataratedB + 228.6
Propellant budget
βπ = π β πΌπ π β lnππππππ
πππππ‘πππ
26David Mauro, KBR / NASA Ames Research Center [email protected]
Develop Feasible Mission Architecture
Orbital Mechanic
Power BudgetADCS
CAD Visualization
Mass Budget
Data Budget
Concept of Operations
Science
Risks & Tech Dev
Cost Link Budget πΈπ
ππππ΅ = πΈπΌπ π + πΏππ π ππ πππππ, πππππ‘πππ, ππππππ +
G
Tβ dataratedB + 228.6
Propellant budget
βπ = π β πΌπ π β lnππππππ
πππππ‘πππ
27David Mauro, KBR / NASA Ames Research Center [email protected]
Develop Feasible Mission Architecture
Orbital Mechanic
Power BudgetADCS
CAD Visualization
Mass Budget
Data Budget
Concept of Operations
Science
Risks & Tech Dev
Cost Link Budget πΈπ
ππππ΅ = πΈπΌπ π + πΏππ π ππ πππππ, πππππ‘πππ, ππππππ +
G
Tβ dataratedB + 228.6
Propellant budget
βπ = π β πΌπ π β lnππππππ
πππππ‘πππ
28David Mauro, KBR / NASA Ames Research Center [email protected]
Develop Feasible Mission Architecture
Orbital Mechanic
Power BudgetADCS
CAD Visualization
Mass Budget
Data Budget
Concept of Operations
Science
Risks & Tech Dev
Cost Link Budget πΈπ
ππππ΅ = πΈπΌπ π + πΏππ π ππ πππππ, πππππ‘πππ, ππππππ +
G
Tβ dataratedB + 228.6
Propellant budget
βπ = π β πΌπ π β lnππππππ
πππππ‘πππ
29David Mauro, KBR / NASA Ames Research Center [email protected]
Develop Feasible Mission Architecture
Orbital Mechanic
Power BudgetADCS
CAD Visualization
Mass Budget
Data Budget
Concept of Operations
Science
Risks & Tech Dev
Cost Link Budget πΈπ
ππππ΅ = πΈπΌπ π + πΏππ π ππ πππππ, πππππ‘πππ, ππππππ +
G
Tβ dataratedB + 228.6
Propellant budget
βπ = π β πΌπ π β lnππππππ
πππππ‘πππ
30David Mauro, KBR / NASA Ames Research Center [email protected]
Develop Feasible Mission Architecture
Orbital Mechanic
Power BudgetADCS
CAD Visualization
Mass Budget
Data Budget
Concept of Operations
Science
Risks & Tech Dev
Cost Link Budget πΈπ
ππππ΅ = πΈπΌπ π + πΏππ π ππ πππππ, πππππ‘πππ, ππππππ +
G
Tβ dataratedB + 228.6
Propellant budget
βπ = π β πΌπ π β lnππππππ
πππππ‘πππ
31David Mauro, KBR / NASA Ames Research Center [email protected]
Develop Feasible Mission Architecture
Orbital Mechanic
Power BudgetADCS
CAD Visualization
Mass Budget
Data Budget
Concept of Operations
Science
Risks & Tech Dev
Cost Link Budget πΈπ
ππππ΅ = πΈπΌπ π + πΏππ π ππ πππππ, πππππ‘πππ, ππππππ +
G
Tβ dataratedB + 228.6
Propellant budget
βπ = π β πΌπ π β lnππππππ
πππππ‘πππ
32David Mauro, KBR / NASA Ames Research Center [email protected]
Develop Feasible Mission Architecture
Orbital Mechanic
Power BudgetADCS
CAD Visualization
Mass Budget
Data Budget
Concept of Operations
Science
Risks & Tech Dev
Cost Link Budget πΈπ
ππππ΅ = πΈπΌπ π + πΏππ π ππ πππππ, πππππ‘πππ, ππππππ +
G
Tβ dataratedB + 228.6
Propellant budget
βπ = π β πΌπ π β lnππππππ
πππππ‘πππ
33David Mauro, KBR / NASA Ames Research Center [email protected]
Develop Feasible Mission Architecture
Orbital Mechanic
Power BudgetADCS
CAD Visualization
Mass Budget
Data Budget
Concept of Operations
Science
Risks & Tech Dev
Cost Link Budget πΈπ
ππππ΅ = πΈπΌπ π + πΏππ π ππ πππππ, πππππ‘πππ, ππππππ +
G
Tβ dataratedB + 228.6
Propellant budget
βπ = π β πΌπ π β lnππππππ
πππππ‘πππ
34David Mauro, KBR / NASA Ames Research Center [email protected]
Develop Feasible Mission Architecture
Orbital Mechanic
Power BudgetADCS
CAD Visualization
Mass Budget
Data Budget
Concept of Operations
Science
Risks & Tech Dev
Cost Link Budget πΈπ
ππππ΅ = πΈπΌπ π + πΏππ π ππ πππππ, πππππ‘πππ, ππππππ +
G
Tβ dataratedB + 228.6
Propellant budget
βπ = π β πΌπ π β lnππππππ
πππππ‘πππ
35David Mauro, KBR / NASA Ames Research Center [email protected]
Develop Feasible Mission Architecture
Orbital Mechanic
Power BudgetADCS
CAD Visualization
Mass Budget
Data Budget
Concept of Operations
Science
Risks & Tech Dev
Cost Link Budget πΈπ
ππππ΅ = πΈπΌπ π + πΏππ π ππ πππππ, πππππ‘πππ, ππππππ +
G
Tβ dataratedB + 228.6
Propellant budget
βπ = π β πΌπ π β lnππππππ
πππππ‘πππ
36David Mauro, KBR / NASA Ames Research Center [email protected]
Develop Feasible Mission Architecture
Orbital Mechanic
Power BudgetADCS
CAD Visualization
Mass Budget
Data Budget
Concept of Operations
Science
Risks & Tech Dev
Cost Link Budget πΈπ
ππππ΅ = πΈπΌπ π + πΏππ π ππ πππππ, πππππ‘πππ, ππππππ +
G
Tβ dataratedB + 228.6
Propellant budget
βπ = π β πΌπ π β lnππππππ
πππππ‘πππ
37David Mauro, KBR / NASA Ames Research Center [email protected]
Develop Feasible Mission Architecture
Orbital Mechanic
Power BudgetADCS
CAD Visualization
Mass Budget
Data Budget
Concept of Operations
Science
Risks & Tech Dev
Cost Link Budget πΈπ
ππππ΅ = πΈπΌπ π + πΏππ π ππ πππππ, πππππ‘πππ, ππππππ +
G
Tβ dataratedB + 228.6
Propellant budget
βπ = π β πΌπ π β lnππππππ
πππππ‘πππ
38David Mauro, KBR / NASA Ames Research Center [email protected]
Develop Feasible Mission Architecture
Orbital Mechanic
Power BudgetADCS
CAD Visualization
Mass Budget
Data Budget
Concept of Operations
Science
Risks & Tech Dev
Cost Link Budget πΈπ
ππππ΅ = πΈπΌπ π + πΏππ π ππ πππππ, πππππ‘πππ, ππππππ +
G
Tβ dataratedB + 228.6
Propellant budget
βπ = π β πΌπ π β lnππππππ
πππππ‘πππ
39David Mauro, KBR / NASA Ames Research Center [email protected]
Develop Feasible Mission Architecture
Orbital Mechanic
Power BudgetADCS
CAD Visualization
Mass Budget
Data Budget
Concept of Operations
Science
Risks & Tech Dev
Cost Link Budget πΈπ
ππππ΅ = πΈπΌπ π + πΏππ π ππ πππππ, πππππ‘πππ, ππππππ +
G
Tβ dataratedB + 228.6
Propellant budget
βπ = π β πΌπ π β lnππππππ
πππππ‘πππ
40David Mauro, KBR / NASA Ames Research Center [email protected]
Develop Feasible Mission Architecture
Orbital Mechanic
Power BudgetADCS
CAD Visualization
Mass Budget
Data Budget
Concept of Operations
Science
Risks & Tech Dev
Cost Link Budget πΈπ
ππππ΅ = πΈπΌπ π + πΏππ π ππ πππππ, πππππ‘πππ, ππππππ +
G
Tβ dataratedB + 228.6
Propellant budget
βπ = π β πΌπ π β lnππππππ
πππππ‘πππ
41David Mauro, KBR / NASA Ames Research Center [email protected]
Develop Feasible Mission Architecture
Orbital Mechanic
Power BudgetADCS
CAD Visualization
Mass Budget
Data Budget
Concept of Operations
Science
Risks & Tech Dev
Cost Link Budget πΈπ
ππππ΅ = πΈπΌπ π + πΏππ π ππ πππππ, πππππ‘πππ, ππππππ +
G
Tβ dataratedB + 228.6
Propellant budget
βπ = π β πΌπ π β lnππππππ
πππππ‘πππ
42David Mauro, KBR / NASA Ames Research Center [email protected]
Develop Feasible Mission Architecture
Orbital Mechanic
Power BudgetADCS
CAD Visualization
Mass Budget
Data Budget
Concept of Operations
Science
Risks & Tech Dev
Cost Link Budget πΈπ
ππππ΅ = πΈπΌπ π + πΏππ π ππ πππππ, πππππ‘πππ, ππππππ +
G
Tβ dataratedB + 228.6
Propellant budget
βπ = π β πΌπ π β lnππππππ
πππππ‘πππ
43David Mauro, KBR / NASA Ames Research Center [email protected]
Develop Feasible Mission Architecture
Orbital Mechanic
Power BudgetADCS
CAD Visualization
Mass Budget
Data Budget
Concept of Operations
Science
Risks & Tech Dev
Cost Link Budget πΈπ
ππππ΅ = πΈπΌπ π + πΏππ π ππ πππππ, πππππ‘πππ, ππππππ +
G
Tβ dataratedB + 228.6
Propellant budget
βπ = π β πΌπ π β lnππππππ
πππππ‘πππ
44David Mauro, KBR / NASA Ames Research Center [email protected]
Develop Feasible Mission Architecture
Orbital Mechanic
Power BudgetADCS
CAD Visualization
Mass Budget
Data Budget
Concept of Operations
Science
Risks & Tech Dev
Cost Link Budget πΈπ
ππππ΅ = πΈπΌπ π + πΏππ π ππ πππππ, πππππ‘πππ, ππππππ +
G
Tβ dataratedB + 228.6
Propellant budget
βπ = π β πΌπ π β lnππππππ
πππππ‘πππ
45David Mauro, KBR / NASA Ames Research Center [email protected]
Develop Feasible Mission Architecture
Orbital Mechanic
Power BudgetADCS
CAD Visualization
Mass Budget
Data Budget
Concept of Operations
Science
Risks & Tech Dev
Cost Link Budget πΈπ
ππππ΅ = πΈπΌπ π + πΏππ π ππ πππππ, πππππ‘πππ, ππππππ +
G
Tβ dataratedB + 228.6
Propellant budget
βπ = π β πΌπ π β lnππππππ
πππππ‘πππ
46David Mauro, KBR / NASA Ames Research Center [email protected]
Develop Feasible Mission Architecture
Orbital Mechanic
Power BudgetADCS
CAD Visualization
Mass Budget
Data Budget
Concept of Operations
Science
Risks & Tech Dev
Cost Link Budget πΈπ
ππππ΅ = πΈπΌπ π + πΏππ π ππ πππππ, πππππ‘πππ, ππππππ +
G
Tβ dataratedB + 228.6
Propellant budget
βπ = π β πΌπ π β lnππππππ
πππππ‘πππ
47David Mauro, KBR / NASA Ames Research Center [email protected]
Develop Feasible Mission Architecture
Orbital Mechanic
Power BudgetADCS
CAD Visualization
Mass Budget
Data Budget
Concept of Operations
Science
Risks & Tech Dev
Cost Link Budget πΈπ
ππππ΅ = πΈπΌπ π + πΏππ π ππ πππππ, πππππ‘πππ, ππππππ +
G
Tβ dataratedB + 228.6
Propellant budget
βπ = π β πΌπ π β lnππππππ
πππππ‘πππ
48David Mauro, KBR / NASA Ames Research Center [email protected]
Develop Feasible Mission Architecture
Orbital Mechanic
Power BudgetADCS
CAD Visualization
Mass Budget
Data Budget
Concept of Operations
Science
Risks & Tech Dev
Cost Link Budget πΈπ
ππππ΅ = πΈπΌπ π + πΏππ π ππ πππππ, πππππ‘πππ, ππππππ +
G
Tβ dataratedB + 228.6
Propellant budget
βπ = π β πΌπ π β lnππππππ
πππππ‘πππ
49David Mauro, KBR / NASA Ames Research Center [email protected]
50
CML 1
βCocktail Napkinβ
CML 2
FeasibilityCML 3
Expanded Trade
SpaceDoes any
solution
exist?
What other
solutions
exist?
Aeolus: an example of a mission concept study for
Mars
50David Mauro, KBR / NASA Ames Research Center [email protected]
CML 3: Expanded Trade Space
Divergent Phase:
Explore different mission architectures
primary vs. secondary
launch options
number of spacecrafts
et cetera
Convergent Phase:
Identify rejection criteria & pick
architectures to pursue.
Iteration:
Repeat CML 2 as needed on
selected architectures
51David Mauro, KBR / NASA Ames Research Center [email protected]
52
CML 1
βCocktail Napkinβ
CML 2
FeasibilityCML 3
Expanded Trade
Space
CML 4
Point Design
Does any
solution
exist?
What other
solutions
exist?
What is a good
approach, given our
circumstances?
Aeolus: an example of a mission concept study for
Mars
52David Mauro, KBR / NASA Ames Research Center [email protected]
CML 4: Point Design
53
Power analysis
Thermal analysis
Schedule
Science Traceability Matrix
Mission Architecture
Driving environmental parameters
Launch vehicle
Delta-V calculations
Orbital solution
Radiation Analysis
Mission ops
Identify required tech development
Spacecraft CAD model
Power Analysis
Thermal Analysis
Better Cost Estimate
Refined Schedule
Risks Matrix & Mitigation
53David Mauro, KBR / NASA Ames Research Center [email protected]
CML 4: Point Design
54
Science Traceability Matrix
Mission Architecture
Driving environmental parameters
Launch vehicle
Delta-V calculations
Orbital solution
Radiation Analysis
Mission ops
Identify required tech development
Spacecraft CAD model
Power Analysis
Thermal Analysis
Better Cost Estimate
Refined Schedule
Risks Matrix & Mitigation
2 weeks operational cycle
54David Mauro, KBR / NASA Ames Research Center [email protected]
CML 4: Point Design
55
Refined orbit design
Science Traceability Matrix
Mission Architecture
Driving environmental parameters
Launch vehicle
Delta-V calculations
Orbital solution
Radiation Analysis
Mission ops
Identify required tech development
Spacecraft CAD model
Power Analysis
Thermal Analysis
Better Cost Estimate
Refined Schedule
Risks Matrix & Mitigation
55David Mauro, KBR / NASA Ames Research Center [email protected]
CML 4: Point Design
56
Refined Flight system capabilitiesScience Traceability Matrix
Mission Architecture
Driving environmental parameters
Launch vehicle
Delta-V calculations
Orbital solution
Radiation Analysis
Mission ops
Identify required tech development
Spacecraft CAD model
Power Analysis
Thermal Analysis
Better Cost Estimate
Refined Schedule
Risks Matrix & Mitigation
+X (along track)
-Y (cross-track)
+Z (Zenith)
56David Mauro, KBR / NASA Ames Research Center [email protected]
Maturation of a Concept from CML 1 to CML 4
CML 1
CML 2
CML 4
57David Mauro, KBR / NASA Ames Research Center [email protected]
Lessons learned
58David Mauro, KBR / NASA Ames Research Center [email protected]
Science & Engineering
Lessons learned
59David Mauro, KBR / NASA Ames Research Center [email protected]
Science & Engineering
Programmatic Constraints
Lessons learned
60David Mauro, KBR / NASA Ames Research Center [email protected]
Science & Engineering Team Dynamics
Programmatic Constraints
Lessons learned
61David Mauro, KBR / NASA Ames Research Center [email protected]
Science & Engineering Team Dynamics
Programmatic Constraints
Life
Lessons learned
62David Mauro, KBR / NASA Ames Research Center [email protected]
β’ Meeting Ground Rules
Practical tips and best practices
63David Mauro, KBR / NASA Ames Research Center [email protected]
β’ Meeting Ground Rules
β’ Check out smartphone/tablet/pc at the door unless working session
Practical tips and best practices
64David Mauro, KBR / NASA Ames Research Center [email protected]
β’ Meeting Ground Rules
β’ Check out smartphone/tablet/pc at the door unless working session
β’ Prepare meeting in advance:
β’ Agenda & expected outcome
β’ Assign preliminary work
Practical tips and best practices
65David Mauro, KBR / NASA Ames Research Center [email protected]
β’ Meeting Ground Rules
β’ Check out smartphone/tablet/pc at the door unless working session
β’ Prepare meeting in advance:
β’ Agenda & expected outcome
β’ Assign preliminary work
β’ Brainstorming: use diverse options
Practical tips and best practices
66David Mauro, KBR / NASA Ames Research Center [email protected]
β’ Meeting Ground Rules
β’ Check out smartphone/tablet/pc at the door unless working session
β’ Prepare meeting in advance:
β’ Agenda & expected outcome
β’ Assign preliminary work
β’ Brainstorming: use diverse options
β’ Action Items: assign & review
Practical tips and best practices
67David Mauro, KBR / NASA Ames Research Center [email protected]
β’ Meeting Ground Rules
β’ Check out smartphone/tablet/pc at the door unless working session
β’ Prepare meeting in advance:
β’ Agenda & expected outcome
β’ Assign preliminary work
β’ Brainstorming: use diverse options
β’ Action Items: assign & review
β’ Do meetings only if needed
Practical tips and best practices
68David Mauro, KBR / NASA Ames Research Center [email protected]
β’ Meeting Ground Rules
β’ Check out smartphone/tablet/pc at the door unless working session
β’ Prepare meeting in advance:
β’ Agenda & expected outcome
β’ Assign preliminary work
β’ Brainstorming: use diverse options
β’ Action Items: assign & review
β’ Do meetings only if needed
β’ Scrum Wall
Practical tips and best practices
69David Mauro, KBR / NASA Ames Research Center [email protected]
β’ Meeting Ground Rules
β’ Check out smartphone/tablet/pc at the door unless working session
β’ Prepare meeting in advance:
β’ Agenda & expected outcome
β’ Assign preliminary work
β’ Brainstorming: use diverse options
β’ Action Items: assign & review
β’ Do meetings only if needed
β’ Scrum Wall
Practical tips and best practices
70David Mauro, KBR / NASA Ames Research Center [email protected]
β’ Meeting Ground Rules
β’ Check out smartphone/tablet/pc at the door unless working session
β’ Prepare meeting in advance:
β’ Agenda & expected outcome
β’ Assign preliminary work
β’ Brainstorming: use diverse options
β’ Action Items: assign & review
β’ Do meetings only if needed
β’ Scrum Wall
β’ Include Cost & Schedule early in the process
Practical tips and best practices
71David Mauro, KBR / NASA Ames Research Center [email protected]
β’ Meeting Ground Rules
β’ Check out smartphone/tablet/pc at the door unless working session
β’ Prepare meeting in advance:
β’ Agenda & expected outcome
β’ Assign preliminary work
β’ Brainstorming: use diverse options
β’ Action Items: assign & review
β’ Do meetings only if needed
β’ Scrum Wall
β’ Include Cost & Schedule early in the process
β’ No to βNOβ and the power of positive language
Practical tips and best practices
72David Mauro, KBR / NASA Ames Research Center [email protected]
β’ Meeting Ground Rules
β’ Check out smartphone/tablet/pc at the door unless working session
β’ Prepare meeting in advance:
β’ Agenda & expected outcome
β’ Assign preliminary work
β’ Brainstorming: use diverse options
β’ Action Items: assign & review
β’ Do meetings only if needed
β’ Scrum Wall
β’ Include Cost & Schedule early in the process
β’ No to βNOβ and the power of positive language
β’ Awareness of Team Dynamics & Life
Practical tips and best practices
73David Mauro, KBR / NASA Ames Research Center [email protected]
Spacecraft Telecomm Sub-System
74David Mauro, KBR / NASA Ames Research Center [email protected]
Spacecraft Telecomm Sub-System
75David Mauro, KBR / NASA Ames Research Center [email protected]
Spacecraft Telecomm Sub-System
76David Mauro, KBR / NASA Ames Research Center [email protected]
Uplink / Command
Spacecraft Telecomm Sub-System
77David Mauro, KBR / NASA Ames Research Center [email protected]
Uplink / Command
Downlink / Telemetry
Spacecraft Telecomm Sub-System
78David Mauro, KBR / NASA Ames Research Center [email protected]
RadioTx / Rx
TX
RX
Uplink / Command
Downlink / Telemetry
Spacecraft Telecomm Sub-System
79David Mauro, KBR / NASA Ames Research Center [email protected]
RadioTx / Rx
TX
RX
Uplink / Command
Downlink / Telemetry
Link Margin = πΈπ
ππππ΅ received -
πΈπ
ππππ΅ required
Spacecraft Telecomm Sub-System
80David Mauro, KBR / NASA Ames Research Center [email protected]
RadioTx / Rx
TX
RX
Uplink / Command
Downlink / Telemetry
Link Margin = πΈπ
ππππ΅ received -
πΈπ
ππππ΅ required
β’ Aim to a value of 6dB or 10 dB for early concept
β’πΈπ
ππππ΅ required is a function of channel coding/modulation. It is the
threshold value of energy in order for the bit to be received.
β’ BPSK modulation with no channel coding has a Eb/No required ~ 9.6 dB for example
Spacecraft Telecomm Sub-System
81David Mauro, KBR / NASA Ames Research Center [email protected]
RadioTx / Rx
TX
RX
Uplink / Command
Downlink / Telemetry
πΈπ
ππππ΅ ππππππ£ππ = πΈπΌπ π + πΏππ π ππ +
G
Tβ dataratedB + 228.6
Link Margin = πΈπ
ππππ΅ received -
πΈπ
ππππ΅ required
Spacecraft Telecomm Sub-System
82David Mauro, KBR / NASA Ames Research Center [email protected]
RadioTx / Rx
TX
RX
Uplink / Command
Downlink / Telemetry
πππππ πΏππ π ππ΅ = 147.55 β 20log(π ππππ,π) β 20log(πΉπππ, π»π§)
πΈπ
ππππ΅ ππππππ£ππ = πΈπΌπ π + πΏππ π ππ +
G
Tβ dataratedB + 228.6
Link Margin = πΈπ
ππππ΅ received -
πΈπ
ππππ΅ required
How to do a Link Budget
πππππ πΏππ π ππ΅ = 147.55 β 20log(π ππππ,π) β 20log(πΉπππ, π»π§)
Link Margin = πΈπ
ππππ΅ received -
πΈπ
ππππ΅ required
EIRP = W RF Out dB + Antenna Gain dB β Cable Loss dB
83David Mauro, KBR / NASA Ames Research Center [email protected]
84David Mauro, KBR / NASA Ames Research Center [email protected]
Summary & Conclusion
85David Mauro, KBR / NASA Ames Research Center [email protected]
Summary & Conclusion
86David Mauro, KBR / NASA Ames Research Center [email protected]
Summary & Conclusion
87David Mauro, KBR / NASA Ames Research Center [email protected]
Summary & Conclusion