-
Require:
User-defined swarm control task, Number of UUVs N
-
Ensure:
Deployed and operational UUV swarm with real-time monitoring
-
1:
Stage 1: Algorithm Design and System Configuration
-
2:
Construct the global swarm control algorithm G using the graphical interface.
-
3:
Decompose G into N individual controller algorithms , each encapsulated as a sub-device module.
-
4:
For each sub-device , assign a unique controller IP address .
-
5:
Stage 2: System-wide Co-simulation and Validation
-
6:
Simulate the entire swarm system within the unified virtual environment.
-
7:
Validate collective behaviors, inter-agent interactions, and control logic.
-
8:
Tune parameters of based on simulation results.
-
9:
if performance is unsatisfactory then
-
10:
goto Line 2 ▹ Refine the algorithm design
-
11:
end if
-
12:
Stage 3: Automated Code Generation & Partitioning
-
13:
For the validated global algorithm G, invoke the automated code generation engine.
-
14:
The engine compiles G and automatically partitions it into executables: for each sub-device, and for the main coordinator (if any).
-
15:
The engine automatically resolves and embeds UDP communication protocols between based on the signal lines in G.
-
16:
Stage 4: Distributed Deployment
-
17:
Deploy each executable to its corresponding physical controller at address via the platform’s one-click deployment interface.
-
18:
Establish communication links between the controllers and the central monitoring server.
-
19:
Stage 5: Real-time Operation & Monitoring
-
20:
Activate the swarm. Each controller i executes its respective algorithm .
-
21:
Initiate real-time data stream from all controllers to the server.
-
22:
Visualize swarm kinematics and dynamics in the 3D digital twin interface.
-
23:
Monitor key signals and perform online parameter tuning via the customizable dashboard.
-
24:
while swarm mission is ongoing do
-
25:
Continue monitoring and logging.
-
26:
end while