Model-Based Design enables collaboration among maritime architects, controls and signal processing engineers, and system integrators. MATLAB and Simulink help advance digital engineering workflows to:
- Perform system-level trade studies to improve efficiency and performance
- Develop digital twins for surface, underwater, and onshore platforms
- Integrate physics-based models with sensor data for predictive maintenance
- Use advanced signal processing and AI to analyze real-world maritime data
- Test algorithms on hardware in real-time
- Ensure designs meet industry standards through Model-Based Design practices
“The simulation engineers produced a high-level, tested description of the C code—the Simulink model—which the software engineers used to generate the code for the application. Without MathWorks tools I don’t think we could have completed the trainer with as few resources as we did.”
Platform Dynamics and Controls
Maritime platform designs involve vessel dynamics, mission requirements, and operating conditions. MATLAB and Simulink provide a complete environment to:
- Model hydrodynamics and develop control systems
- Simulate seakeeping, manoeuvring, and mission scenarios
- Optimize mission planning and fuel consumption
- Test designs with closed-loop, environment-in-the-loop simulations
Propulsion and Electrification
Model and evaluate maritime power and propulsion systems with MATLAB and Simulink to:
- Build multi-domain models that include electric drives, power electronics, batteries, fuel cells, and mechanical propulsion components
- Model energy storage systems and hybrid powertrains to optimize fuel efficiency, emissions, and reliability
- Design optimization and hardware-in-the-loop (HIL) tests before physical prototypes are built
- Validate controller performance under various operating scenarios through HIL testing
Navigation, Sensors, and Situational Awareness
Develop advanced sensing and perception capabilities for maritime systems with MATLAB and Simulink to:
- Model sensors, including IMU, GPS, radar, sonar, communications, phased arrays, DVL, and more
- Fuse data from multiple sensors using state estimation techniques for robust navigation and situational awareness
- Leverage built-in libraries for sensor fusion, localization, mapping, and tracking
- Process radar and sonar signals for target detection and tracking
Autonomy and AI
Develop and validate autonomy architectures for maritime platforms using MATLAB and Simulink to:
- Model and simulate autonomous system scenarios that include platforms, trajectories, paths, sensors, and complex environments
- Model path planning algorithms based on varied motion characteristics
- Build AI-based target recognition and behavior prediction models using deep learning
- Deploy autonomy algorithms on hardware
Diagnostics and Health Management
Develop data-driven and physics-based health monitoring workflows for maritime systems with MATLAB and Simulink to:
- Acquire, organize, clean, and process complex datasets
- Diagnose and prognose faults in onboard systems
- Model health monitoring algorithms across hull, propulsion, and electronic systems
- Package the analysis into software components or embeddable source code without manually recoding algorithms
Standards Compliance and Secure Deployment
Automate software development and ensure compliance for mission-critical maritime systems using MATLAB and Simulink to:
- Generate C/C++, HDL, and GPU code from Simulink models for mission-critical maritime systems
- Perform static and dynamic verification of the code
- Manage, measure, and monitor software quality throughout the development lifecycle
- Comply with industry standards for software and systems, such as DO-178C, DO-254, and ARP 4754, through Model-Based Design
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