Advanced Technology Platform
Proprietary systems engineered for precision, reliability, and autonomous operation in extreme space environments.
Core Technology Systems
Integrated solutions for complete mission lifecycle support
Precision Navigation Module (PNM)
The PNM combines multiple sensor inputs including star trackers, inertial measurement units, and visual odometry to provide centimeter-level positioning accuracy in lunar orbit and surface operations.
- Multi-frequency GNSS receiver with lunar signal processing
- Optical navigation using crater pattern recognition
- Doppler-based velocity measurements
- Kalman filter fusion with adaptive noise modeling
- Real-time trajectory computation and optimization
Neural Motion Controller (NMC)
AI-powered control system that learns optimal maneuvering strategies through simulation and adapts to vehicle dynamics, environmental conditions, and mission constraints in real-time.
- Deep reinforcement learning for trajectory planning
- Predictive thrust vector control algorithms
- Autonomous fault detection and recovery
- Energy-efficient attitude control strategies
- Multi-objective optimization (fuel, time, safety)
Autonomous Landing Control System (ALCS)
Industry-leading precision landing technology for lunar surface operations
Terrain Mapping
High-resolution LIDAR scanning creates detailed 3D elevation maps during descent, identifying safe landing zones and potential hazards in real-time.
Hazard Detection
Computer vision algorithms analyze terrain for boulders, slopes, and shadows, automatically selecting optimal touchdown points within designated zones.
Descent Control
Adaptive guidance laws adjust thrust profiles based on terrain, vehicle state, and fuel reserves to ensure soft, precise landings.
ALCS Performance Specifications
Orbital Navigation & Transfer Systems
Optimized solutions for Earth-Moon transit and orbital operations
Transfer Trajectory Optimization
Advanced algorithms compute minimum-fuel paths between Earth and lunar orbits, accounting for gravitational perturbations, launch windows, and mission timeline constraints.
- Hohmann transfer and bi-elliptic trajectory planning
- Low-energy lunar transfer orbit computation
- Gravity-assist maneuver optimization
- Delta-V budget calculation and allocation
- Launch window analysis and contingency planning
Station-Keeping & Formation Flying
Precision orbital maintenance systems enable long-duration missions and coordinated multi-spacecraft operations around the Moon and in cislunar space.
- Continuous thrust or impulsive maneuver strategies
- Relative navigation for spacecraft clusters
- Collision avoidance and proximity operations
- Orbit determination with sub-meter accuracy
- Autonomous rendezvous and docking guidance
Multi-Sensor Fusion Architecture
Redundant, fault-tolerant sensing for mission-critical reliability
Star Trackers
High-precision attitude determination using celestial navigation with arc-second accuracy for pointing and orientation control.
Inertial Measurement
Ring laser gyroscopes and accelerometers provide continuous motion sensing independent of external references.
Visual Odometry
Camera-based position estimation tracks surface features during descent and surface mobility operations.
LIDAR Ranging
Laser altimetry and 3D scanning for terrain mapping, obstacle detection, and precision altitude measurement.
Radio Navigation
Deep Space Network tracking and lunar relay satellite signals for position fixes and time synchronization.
Magnetometers
Magnetic field sensing for supplementary attitude information and space weather monitoring.
Artificial Intelligence Integration
Next-generation autonomous decision-making capabilities
Adaptive Learning Systems
LMCU's neural networks continuously improve performance through mission data analysis, identifying optimal control strategies and predicting system behavior under varying conditions.
- Online learning during mission execution
- Transfer learning from simulation to flight
- Anomaly detection and classification
- Predictive maintenance algorithms
Autonomous Decision Framework
Hierarchical reasoning system enables spacecraft to make critical decisions without ground intervention, essential for time-delayed communications in deep space missions.
- Goal-oriented mission planning
- Risk assessment and mitigation strategies
- Resource allocation optimization
- Emergency response protocols
Computer Vision Processing
Convolutional neural networks process imagery for terrain classification, landmark identification, and visual navigation during all mission phases.
- Real-time image segmentation and analysis
- Crater detection and matching algorithms
- Shadow and lighting condition handling
- Multi-spectral data fusion
Software Architecture & Certification
Robust, safety-critical software development practices
Flight Software Platform
Our real-time operating system provides deterministic performance, fault tolerance, and modular architecture compliant with NASA standards and DO-178C requirements.
- Rate-monotonic scheduling with guaranteed timing
- Built-in health monitoring and watchdog timers
- Triple-modular redundancy for critical functions
- Secure boot and encrypted communications
- Extensive unit and integration testing coverage
Verification & Validation
Rigorous testing methodology ensures system reliability through hardware-in-the-loop simulation, Monte Carlo analysis, and flight-heritage component validation.
- Formal methods for safety-critical code
- Continuous integration and automated testing
- Fault injection and stress testing
- Independent verification and validation (IV&V)
- Compliance with ECSS and ISO standards