MY SPACE INDUSTRY EXPERIENCE Kamara Brown The George Washington University School of Engineering and...
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Transcript of MY SPACE INDUSTRY EXPERIENCE Kamara Brown The George Washington University School of Engineering and...
MY SPACE INDUSTRY EXPERIENCEMY SPACE INDUSTRY EXPERIENCE
Kamara Brown
The George Washington University
School of Engineering and Applied Science
Department of Electrical Engineering
An Assessment of System Engineering Conceptual Design Laboratory The John Hopkins University/Applied Physics Laboratory (JHU/APL) The John Hopkins University/Applied Physics Laboratory (JHU/APL)
Space Department, Space Systems Applications, Mission and Space Systems EngineeringSpace Department, Space Systems Applications, Mission and Space Systems EngineeringKamara Brown Kamara Brown 11, James Leary , James Leary 22, Richard Anderson , Richard Anderson 33
1 Research Associate, George Washington University 2 Principal Investigator, Section Supervisor Space System Engineer , JHU/APL 3 Co-Principal Investigator, Space System Engineer, JHU/APL
The SE Lab is being developed to better The SE Lab is being developed to better position APL in collaborating more position APL in collaborating more effectively with NASA centers as well as effectively with NASA centers as well as other potential partners who have created other potential partners who have created similar design centers as an standard similar design centers as an standard approach to conducting business.approach to conducting business.
As APL moves towards planning deep As APL moves towards planning deep space missions, there is a need for space missions, there is a need for improving their practices for conceptual improving their practices for conceptual spacecraft design. The SE Lab is being spacecraft design. The SE Lab is being developed to better position APL in developed to better position APL in collaborating more effectively with collaborating more effectively with NASA centers as well as other potential NASA centers as well as other potential partners who have created similar partners who have created similar design centers as an standard approach design centers as an standard approach to conducting business. to conducting business.
Research Problem Statement Background
Defining the System Engineering Laboratory
What is the SE Lab? Collaboration conceptual toolEnhance existing system engineering and system Architecture processes
Characteristics / Intent of the SE LaboratoryTool to assist and increase quality of proposalsMission Concept Studies, System Test Planning
Key Spacecraft Mission Question: How do the different Spacecraft Subsystems interact to perform one or more missions?
Data Analysis
POWER DATA EXCEL WORKBOOK
(B:2 = 2 X A:2)
Tx DC POWER
TAB: TxPWR vs DR
Tx_RF-PWRRange (30 – 250)
H:52MEDIUM / HIGH
POWER[INPUT]
Phoenix Model Power Sheet Flow Chart
A:2[INPUT]
B:2[OUTPUT]
Solar Sentinels Power
WORKBOOK
TAB: Detailed Power Budget H:71 TOTAL CBE + 30% MARGIN
(BUS POWER)[ OUTPUT]
H:52
TOTAL POWER[INPUT]
CALCULATE ARRAY AREA WORKBOOK
PWR TOTAL = (0.23)(.77)(1358) (1/ R2) (A)
ARRAY AREA[OUTPUT]
Developed Flow Chart for Developed Flow Chart for Subsystem to model in Subsystem to model in Phoenix IntegrationPhoenix Integration
Relationship Models
Developed Subsystem Developed Subsystem Relationship Models to Relationship Models to identify Top Level Mission identify Top Level Mission NeedsNeeds
POWER
S/C MISSION SYSTEM
FAULT PROTECTION COMMUNICATIONS
THERMAL
MECH
G&C
BATTERY CYCLE
SUN DISTANCE
S/A OPERATING TEMP
In PWR’s World, FAULT
PROTECTION is considered
Load PWR SERVICES
S/A Pointing Requirements
∑ PWR LOAD
S/A PACKAGING DEPLOYMENT
LIFETIME / DURATION
PROPLoad PWR SERVICES
RELIABILITY
RELIABILITY
PAYLOAD
C&DH
Load PWR SERVICES
ARRAY
PRIMARY PWR SOURCE TYPES
CELLS
PWR ELECTRONICS PARAMETERS
(Box [PSE, PDU, SAJB] quantities , PWR Consumption, PWR
Dissipation, Mass, Dimensions )
MISSION
POWER SUBSYSTEM
SUBSYSTEM
Load PWR SERVICES
Load PWR SERVICES
S/A ARTICULATION AXES
Load PWR SERVICES
SUN POINTING ERROR
PWR DISTRIBUTION
BATTERY CYCLE
Load PWR SERVICES
RADIATION
SUN / ECLIPSE CONDITIONS
Bus Voltage RangeCONTROL MODE(S)
POWER
MASS
CONTROL
VOLTAGE RANGE
Software Analysis
Spearhead a study on Spearhead a study on Phoenix Integration to Phoenix Integration to identify whether it will identify whether it will serve the SE Lab in serve the SE Lab in developing Deep Space developing Deep Space missions studies and missions studies and prototypes.prototypes.
An Assessment of System Engineering Conceptual Design Laboratory
Results / Recommendations
The John Hopkins UniversityThe John Hopkins UniversityApplied Physics LaboratoryApplied Physics Laboratory
James Leary, Richard AndersonJames Leary, Richard AndersonDr. Ralph McNuttDr. Ralph McNutt
Grant Tregre, Patrick HillGrant Tregre, Patrick HillAndre Smith, Donna WilliamsAndre Smith, Donna Williams
David Artis, Richard CondeDavid Artis, Richard Conde
Special Thanks to: Special Thanks to: Dave RosageDave RosageJoseph DolanJoseph DolanLinda ButlerLinda Butler
Dipak SrinivasanDipak SrinivasanKaren KirbyKaren KirbySEA-3 Mission and Space System Engineering SEA-3 Mission and Space System Engineering Group Group 2006 NASA / APL Research Associates2006 NASA / APL Research Associates
Phoenix Integration
Need standardized forms from spacecraft subsystem leads in order to have a super decision-making system
File Wrapping Tools present more reusability for the scripts between Different system models
Further investigation on defining requirements and constraints
Validate against additional software toolsets that develop comprehensive models
Research cost trends and estimating relationships
Developing cost estimating methods and models
Acknowledgments
Future Phases
An Assessment of Artificial Intelligence Technologies for Vehicle Management Systems
Spacecraft and Vehicles Systems Department, Advanced Sensors & Health Management Systems, Code EV23
Kamara Brown Kamara Brown 11 , Dr. Mike Watson , Dr. Mike Watson 22 , Dr. Luis Trevino , Dr. Luis Trevino 33
1 Research Associate, George Washington University 2 Principal Investigator, Branch Chief, NASA MSFC 3 Principal Investigator, Artificial Intelligence Scientist, NASA MSFC
Data Analysis
As NASA moves towards planning deep space As NASA moves towards planning deep space missions, there is a need for examining applications missions, there is a need for examining applications utilizing autonomous systems and AI technologies. utilizing autonomous systems and AI technologies. This will allow space vehicle systems that can make This will allow space vehicle systems that can make decisions on its on. The intelligent system must decisions on its on. The intelligent system must dynamically select the “optimum” configurations dynamically select the “optimum” configurations for supporting such critical subsystems like crew for supporting such critical subsystems like crew environment, electrical power systems, propulsion environment, electrical power systems, propulsion systems.systems.
• To spearhead a study on how AI Techniques can To spearhead a study on how AI Techniques can create intelligent (decision-making) space vehicle create intelligent (decision-making) space vehicle systemssystems
• To analyze and determine the most prominent To analyze and determine the most prominent techniquestechniques
Acknowledgments
Research Objective
Research Problem Statement
NASA Marshall Space Flight CenterNASA Marshall Space Flight CenterDr. Mike Watson, Dr. Luis Trevino, Dr. Deidre ParisDr. Mike Watson, Dr. Luis Trevino, Dr. Deidre ParisDr. Katherine ChavisDr. Katherine ChavisJohn Wiley, Amanda Duffell, Valentin KormanJohn Wiley, Amanda Duffell, Valentin KormanLinda Brewster, Ricky HowardLinda Brewster, Ricky Howard
Special Thanks to:Special Thanks to:
Dr. Frank SixDr. Frank SixDr. Gerry KarrDr. Gerry KarrDr. Ruth JonesDr. Ruth JonesJessica Culler, Omar MirelesJessica Culler, Omar MirelesNASA Academy StaffNASA Academy Staff2005 NASA Academy Research Associates2005 NASA Academy Research Associates
Results
Bayesian Belief NetworkBayesian Belief Network
• Appears to be the most prominent for space applicationsAppears to be the most prominent for space applications
Why?Why?• Allows flexibleAllows flexible• Does not need any previous knowledge (very user friendly)Does not need any previous knowledge (very user friendly)• Graphical representation with strong mathematical foundationGraphical representation with strong mathematical foundation
Recommendations
NAAA, NASA, CommitteesNAAA, NASA, Committees
Quality AssuranceQuality Assurance
CollaborationsCollaborations
Giving BackGiving Back
Quality AssuranceQuality Assurance
CollaborationsCollaborations
Giving BackGiving Back
Visiting NASA AcademiesVisiting NASA Academies
NewslettersNewsletters
Strategic Planning MeetingsStrategic Planning Meetings
ProjectsProjects
Visiting NASA AcademiesVisiting NASA Academies
NewslettersNewsletters
Strategic Planning MeetingsStrategic Planning Meetings
ProjectsProjects
NASA Academy Alumni Association Future Leaders of the Aerospace Industry
NASA Academy Alumni AssociationNASA Academy Alumni Association
Young Leaders of the Space Industry TodayYoung Leaders of the Space Industry Today
NAAA