Full Authority Digital Engine Control

Full Authority Digital Engine Control (FADEC) is an advanced electronic system used to manage and optimize the operation of modern aircraft engines. It represents a significant evolution from traditional hydro-mechanical engine control systems by providing full digital oversight and automated control over virtually every aspect of engine performance. FADEC systems are now widely used in both turbine and high-performance piston engines, particularly in commercial airliners, business jets, and advanced military platforms.

Electrical Machines Expert

Analyzing the performance of generators and electric motors
Designing high-speed permanent magnet generators and electric motors
Structural analysis and loss calculations in high-speed electric machines
Material selection and design of manufacturing processes; generating manufacturing drawings for high-speed electric machines
Supervising manufacturing and performing quality control
Designing test stands for high-speed electric machines

Control Expert

Developing control models for gas turbines and generators
Formulating control approaches and logic
Designing controllers for turbo-generator operation in all conditions (startup, normal operation, and critical situations)
Integrating the engine control system with the aircraft control system
Defining the control system configuration

Axial Flux Magnetically Geared Generator

An Axial Flux Magnetically Geared Generator (AFMGG) is an advanced electrical machine that combines the principles of axial flux generators and magnetic gearing to efficiently convert mechanical energy into electrical energy. This innovative design has emerged as a compact and high-performance alternative to traditional systems, addressing the growing demand for more efficient and lightweight energy solutions.

Digital Twin

Digital twins are virtual replicas of physical assets, processes, or systems that simulate their behavior in real time. These replicas integrate data from sensors, historical information, and advanced modeling techniques to provide insights into the physical counterpart’s performance, condition, and potential future states.