Mini-UUV Systems Demo

Volume/Mass-Constrained Autonomous Underwater Vehicle Platform

Advanced mini-UUV demonstrator with modular payload bay, simulated effects integration, and multi-sensor fusion navigation achieving 1.2%/hr positional drift

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1.2%/hr
Navigation Drift
75-110
Endurance (min)
50-80W
Power Consumption
≤0.8L
Payload Volume

Project Overview

The Mini-UUV Systems Demo represents a comprehensive autonomous underwater vehicle platform designed for constrained operational environments. The system integrates advanced navigation, modular payload architecture, and simulated environmental effects to demonstrate real-world UUV capabilities at reduced scale.

Key Innovation

Multi-sensor fusion combining IMU data with doppler velocity surrogates and acoustic beacon positioning to achieve sub-2% navigation drift over extended missions, enabling precise autonomous operations in GPS-denied underwater environments.

Technology Stack

ROS2 Gazebo Unity IMU Fusion Mission Control FMEA

Interactive Navigation Simulator

Simulate UUV navigation performance under different mission parameters and environmental conditions.

System Specifications

Parameter Value Notes
Payload Bay Volume ≤ 0.8 L Hot-swappable modular design
Payload Mass Capacity ≤ 700 g Maintains neutral buoyancy
Navigation Accuracy 1.2% drift per hour Multi-sensor fusion (IMU + Doppler + Acoustic)
Mission Endurance 75-110 minutes Dependent on payload and speed profile
Power Consumption 50-80 W Propulsion + Sensors + Computing
Maximum Depth 100 m Pressure-rated hull design
Operating Speed 0.5-2.0 m/s Variable based on mission requirements
Communication Acoustic modem Low-bandwidth command & telemetry

Power Budget Analysis

Detailed power consumption breakdown across subsystems and mission profiles.

Endurance vs Speed Profile

Modular Payload Architecture

The hot-swappable payload bay supports rapid mission reconfiguration with standardized mechanical and electrical interfaces.

Supported Payload Types

Payload Type Mass Volume Power Use Case
Optical Camera 350 g 0.4 L 8 W Visual inspection, mapping
Side-Scan Sonar 650 g 0.7 L 15 W Seafloor mapping, object detection
Water Sampling 500 g 0.6 L 5 W Environmental monitoring
Acoustic Relay 400 g 0.5 L 12 W Communication extension
Sensor Package 300 g 0.3 L 6 W CTD, turbidity, fluorometry

Payload Interface

Mechanical: Quick-release latching mechanism with O-ring seal
Electrical: 12-pin connector (Power, Data, Ground)
Data: RS-485 serial bus + Ethernet option
Swap Time: < 3 minutes field replacement

Failure Modes & Effects Analysis

Comprehensive FMEA covering critical subsystems and failure scenarios.

Subsystem Failure Mode Effect Severity Mitigation
Propulsion Thruster failure Loss of maneuverability High Emergency surface, redundant thrusters
Navigation IMU drift exceeds threshold Position uncertainty increases Medium Acoustic beacon updates, surface GPS fix
Power Battery depletion System shutdown High Low-power warning, auto-abort mission
Communication Acoustic link loss Cannot receive commands Medium Autonomous mission completion, timeout abort
Hull Integrity Water ingress Electronics damage, loss of buoyancy Critical Leak detection sensors, watertight compartments
Depth Control Buoyancy control failure Uncontrolled ascent/descent High Drop weight mechanism, pressure relief

Failure Probability vs Impact

System Architecture

The mini-UUV architecture integrates multiple subsystems through a ROS2-based middleware.

Software Stack

Layer Components Description
Mission Planning Path Planner, Behavior Trees High-level mission execution and waypoint generation
Navigation EKF, Sensor Fusion Multi-sensor integration for position estimation
Control PID Controllers, Dynamic Positioning Low-level thruster control and station-keeping
Perception Sonar Processing, Obstacle Detection Environmental awareness and collision avoidance
Communication Acoustic Modem Driver, Telemetry Command reception and status reporting

ROS2 Integration

The system leverages ROS2's real-time capabilities with custom nodes for:

  • Sensor Drivers: IMU, DVL, Depth, Acoustic positioning
  • State Estimation: Extended Kalman Filter for pose fusion
  • Controllers: Cascaded PID for depth, heading, and speed
  • Mission Execution: Behavior tree-based autonomy
  • Safety Monitor: Watchdog and fault detection

Simulation & Validation Results

Extensive testing in Gazebo and Unity environments validates system performance.

Navigation Accuracy Over Mission Duration

Mission Success Rate Analysis

Key Achievements

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