Advanced Spacecraft Power Subsystem Design
Budget: $30 ā $250 USD
We are designing a spacecraft power subsystem using MATLAB/Simulink with focus on a three-port converter topology (DAB or SAB) for solar, battery, and load interfacing and The final control system will be implemented in LabVIEW and deployed on NI myRIO hardware.
I'm working on a multi-stage project involving advanced control of isolated multiport DC-DC converters using Simulink.
Iām looking to begin with a Dual Active Bridge (DAB) converter using fixed phase-shift control, and eventually scale up to a Triple Active Bridge (TAB) system with optimization and load scheduling.
Project Roadmap Overview:
We have ready Dual Active Bridge (DAB)
Simulink model with two H-bridges and a high-frequency transformer
Fixed phase-shift control implementation
Validate bidirectional power transfer (e.g., from a source to a load)
Stage 1: Triple Active Bridge (TAB)
Extend to 3-port system (solar input, battery, load)
Apply individual phase-shift control for each port pair
Simulate different operating scenarios (e.g., power-limited, eclipse mode)
Stage 2: Adaptive Optimization
Introduce a metaheuristic algorithm (e.g., multiverse optimization) for MPPT
Optimize phase-shift angles dynamically based on efficiency and scenario
I'm working on a multi-stage project involving advanced control of isolated multiport DC-DC converters using Simulink.
Iām looking to begin with a Dual Active Bridge (DAB) converter using fixed phase-shift control, and eventually scale up to a Triple Active Bridge (TAB) system with optimization and load scheduling.
Project Roadmap Overview:
We have ready Dual Active Bridge (DAB)
Simulink model with two H-bridges and a high-frequency transformer
Fixed phase-shift control implementation
Validate bidirectional power transfer (e.g., from a source to a load)
Stage 1: Triple Active Bridge (TAB)
Extend to 3-port system (solar input, battery, load)
Apply individual phase-shift control for each port pair
Simulate different operating scenarios (e.g., power-limited, eclipse mode)
Stage 2: Adaptive Optimization
Introduce a metaheuristic algorithm (e.g., multiverse optimization) for MPPT
Optimize phase-shift angles dynamically based on efficiency and scenario
Related categories:
Electronics
Matlab and Mathematica
Electrical Engineering
LabVIEW
Embedded Systems
MATLAB
Simulation