"From the Depths of Code to the Apex of Sky." The proprietary, AI-integrated flight control and mission computer framework designed exclusively for next-generation stealth aviation. Developed by Batuhan ALGÜL.
Ergenon-Systems is a high-assurance, real-time operating system and artificial intelligence framework engineered specifically for the avionics of 6th-generation fighter jets. Named after the legendary "Ergenekon" (the place of rebirth in Turkic mythology), this project represents a paradigm shift in aerial sovereignty, combining deterministic real-time performance with autonomous tactical decision-making.
Unlike conventional open-source projects, Ergenon-Systems is a proprietary, closed-source initiative led solely by Batuhan ALGÜL. It is designed to ensure absolute data security, algorithmic independence, and strategic autonomy for national defence infrastructures.
| Principle | Description |
|---|---|
| Absolute Sovereignty | No external dependencies; all code and data remain within the secure hardware boundary. |
| Deterministic Real-Time | Microsecond-level precision for flight stability and weapon systems integration. |
| AI-First Architecture | Deep integration of the "Bilge-Aviation" AI engine for sensor fusion and tactical support. |
| Stealth-by-Design | Low-probability of intercept (LPI) communication and emission control protocols. |
| Proprietary Security | Closed-source kernel with cryptographic verification of every module. |
Ergenon-Systems utilises a modular, microkernel-based design to ensure fault tolerance, security, and scalability. The architecture is divided into three primary layers: the Mission Layer, the Flight Control Layer, and the Hardware Abstraction Layer.
┌─────────────────────────────────────────────────────────────────┐
│ MISSION COMPUTER (AI LAYER) │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────────────┐ │
│ │ Bilge-Avia │ │ Sensor Fusion│ │ Electronic Warfare │ │
│ │ AI Engine │ │ Engine │ │ Manager │ │
│ └──────┬───────┘ └──────┬───────┘ └──────────┬───────────┘ │
└─────────┼─────────────────┼─────────────────────┼───────────────┘
▼ ▼ ▼
┌─────────────────────────────────────────────────────────────────┐
│ FLIGHT CONTROL COMPUTER (FCC - RTOS) │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────────────┐ │
│ │ Control Laws │ │ Actuator │ │ Redundancy │ │
│ │ (PID/Adaptive│ │ Interface │ │ Voting Algorithm │ │
│ └──────┬───────┘ └──────┬───────┘ └──────────┬───────────┘ │
└─────────┼─────────────────┼─────────────────────┼───────────────┘
▼ ▼ ▼
┌─────────────────────────────────────────────────────────────────┐
│ HARDWARE ABSTRACTION LAYER (HAL) │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────────────┐ │
│ │ IMU / AHRS │ │ Pitot/Static │ │ Hydraulic Actuators │ │
│ │ Sensors │ │ Probes │ │ │ │
│ └──────────────┘ └──────────────┘ └──────────────────────┘ │
└─────────────────────────────────────────────────────────────────┘
[SENSORS]
│
▼
┌─────────────────────┐
│ 1. DATA ACQUISITION │───▶ Raw data from IMU, Radar, IRST
└──────────┬──────────┘
▼
┌─────────────────────┐
│ 2. SENSOR FUSION │───▶ Kalman Filter & AI Integration
└──────────┬──────────┘
▼
┌─────────────────────┐
│ 3. STATE ESTIMATION │───▶ Position, Velocity, Attitude
└──────────┬──────────┘
▼
┌─────────────────────┐
│ 4. CONTROL LAWS │───▶ PID & Adaptive Control Algorithms
└──────────┬──────────┘
▼
┌─────────────────────┐
│ 5. ACTUATOR OUTPUT │───▶ Surface Deflection Commands
└─────────────────────┘
A specialised version of the Bilge AI framework, optimised for aviation. It provides:
- Tactical Decision Support: Real-time analysis of threat environments.
- Predictive Maintenance: AI-driven health monitoring of aircraft systems.
- Natural Language Interface: Voice-command integration for pilot assistance.
- Microkernel Architecture: Minimal attack surface and high reliability.
- Preemptive Scheduling: Guaranteed response times for critical tasks.
- Memory Protection: Isolation between processes to prevent cascading failures.
- Voting Algorithm: Three independent computers calculate flight parameters; the majority vote determines the output.
- Fault Tolerance: Automatic isolation of faulty channels without pilot intervention.
Ergenon-Systems is being developed in five distinct phases, culminating in a fully operational 6th-gen flight control system by 2029.
| Phase | Timeline | Key Milestones |
|---|---|---|
| Phase 1: Foundation | 2024–2025 | • RTOS Kernel Development • Basic Driver Implementation (IMU, UART) • Bootloader & Secure Boot |
| Phase 2: Control Laws | 2025–2026 | • PID Controller Implementation • Sensor Fusion Algorithms • Simulation Environment (HIL) |
| Phase 3: AI Integration | 2026–2027 | • Bilge-Aviation Engine Porting • Neural Network Optimisation for Embedded Systems • Tactical Data Link Integration |
| Phase 4: Stealth & Security | 2027–2028 | • LPI Communication Protocols • Cryptographic Module Validation • Electronic Warfare Countermeasures |
| Phase 5: Certification & Deployment | 2028–2029 | • DO-178C Compliance Testing • Live Flight Tests • Final System Integration & Handover |
© 2026 Batuhan ALGÜL. All Rights Reserved.
This software and its associated documentation are the exclusive intellectual property of Batuhan ALGÜL. No part of this project may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the copyright holder, except in the case of brief quotations embodied in critical reviews and certain other non-commercial uses permitted by copyright law.
- Commercial Use: ❌ Strictly Prohibited without explicit license.
- Modification: ❌ Prohibited.
- Distribution: ❌ Prohibited.
- Patent Rights: ✅ Protected under international patent laws.
For licensing inquiries, please contact: batuhanalgul@proton.me
Ergenon-Systems employs a rigorous, safety-critical technology stack designed for maximum performance and reliability.
| Component | Language/Technology | Justification |
|---|---|---|
| Kernel Core | Rust | Memory safety without garbage collection; ideal for safety-critical systems. |
| Drivers & HAL | C (MISRA-C) | Direct hardware access; industry standard for embedded systems. |
| AI Engine | C++ / Python | C++ for inference runtime; Python for training and simulation. |
| Control Laws | MATLAB/Simulink | Model-Based Design for rapid prototyping and verification. |
| Build System | CMake / Make | Cross-platform compilation and dependency management. |
| Testing | Unity / CMock | Unit testing framework for C code. |
Access to the source code is restricted to authorised developers under non-disclosure agreement (NDA).
- Compiler: Rust Nightly, GCC ARM Embedded
- IDE: VS Code with Rust Analyzer
- Hardware: STM32H7 Series or Custom FPGA Board
- Simulation: QEMU or X-Plane SDK
# Clone the repository (Authorised Access Only)
git clone git@github.com:DeveloperBatuhanALGUL/Ergenon-Systems.git
cd Ergenon-Systems
# Configure the build environment
make config-target=stm32h743
# Compile the kernel
make all
# Flash to target hardware
make flash| Batuhan ALGÜL |
|---|
| Lead Architect & Sole Developer |
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Last Update: April 2026 | Ergenon-Systems v0.1.0-alpha | Proprietary & Confidential