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BENJAMIN LOOP Simulation Environment for Power
Management and Distribution Development
SBIR Phase II/II-E
• Period of performance: July 2013 – July 2016
• Technical objectives • Develop a simulation environment to support the development of
autonomous controls
• Demonstrate distributed control architectures
Component and System Models
• Began working with ISS electrical system
• Moved to EAM system with similar overall architecture
• Modified component parameters and interconnections
International Space Station Exploration
Augmentation Module
Spacecraft Model Library
• Average value electrical
component models
• Solar array
• Sequential shunt unit
• Battery charge discharge unit
• Master bus switching unit
• DC switching unit
• Power distribution unit
• Aggregate load
• Constant power
• Constant current
• Resistive
• Remote power controller
• Remote bus interrupter
Model Fidelity • Fast electrical transients not necessary for
development of energy management controls • Skipped switch level models from the beginning
• Created average value models and validated against available hardware data
• Eliminated fast transients through model reduction and parameter modification
Switch
level
Average
value
Reduced
order
Power electronics
systems levels of
fidelity
Model Library Features
• Component parameter specification
• Constant or over-ridden by time-varying value
• Control signal specification
• Model certification GUI
• Specify inputs and outputs
• Automated html report
• Sensor model
• Communication model
Automated State Model Generator • ASMG is a circuit simulation tool developed by PCKA
• Automatically determines switch states and calculates model topology
• Enables expedited construction of complex systems
Native Simulink Implementation • Native Simulink implementation constructed to reach real-time
simulation speeds • Switching circuit models derived by hand
• Less flexible / user friendly
• Consistent computation time per simulation time step
Identification of Fast Transients • Eigenvalue analysis tool
• Matlab GUI that evaluates model eigenvalues
• Calculates participation factors for each mode, links to the relevant
block in the model
Eigenvalues
Participation factors State names
Small Signal Stability Analysis Tool • Parse Simulink model to determine
interconnection of components
• No simulation execution required
• Combine small signal models into
full system model for evaluation
Linear
interpolation:
Critical
Power
Command:
5.3296kW
5.3kW
5.4kW
Communication Modeling
• Network communication model using
ns-3
• Currently developing graphical interface
of the Simulink/ns-3 environment
• Determine topology from Simulink
connections
• Set up communication (and spam) through
block mask
n4 n2 | | | | s2---------s1---------s0 | | | | | | n1 n3 n0
Interface with Controller
• Interface developed with Case
Western Reserve University
• GUI allows definition of
• Planned scenario
• Actual scenario
• System parameters and initial
conditions
• Communication parameters
• Data logging parameters
• Automatically launches
simulation and control process
Controller Communication
• GUI launches processes and transmits relevant information to simulation and controller. Also logs data during simulation
• UDP communication between simulation and controller during simulation
Load Schedule
PV Schedule
Initial conditions
Pro
cess #
2
Scenario
Generator GUI EAM_Simulink.mdl
Controller
MA
TLA
B
t_start
PDU State
Load allocation
t
SOC
Sensor values
Extension to Aircraft System Modeling • Build on modeling experience with near-term military aircraft and apply to
N+3 generation aircraft electrical systems and technologies
• Provide modeling and simulation support for NASA aircraft electrical system testbeds
• Analyze tradeoffs of system configurations • Benefits of energy storage
• Stability analysis and control development
• Provide models to estimate size/weight/efficiency of components as they increase in power from ~100kW to ~10MW • Inverters, generators/motors
PCKA 220 kVA SiC inverter module
that will form the scaling basis