Efficient and Robust Electric Machines and Control Systems for Jet Engines
Reference number | |
Coordinator | GKN Aerospace Sweden AB |
Funding from Vinnova | SEK 6 500 000 |
Project duration | June 2024 - June 2028 |
Status | Ongoing |
Venture | Strengthened Swedish aeronautical research and development |
Call | Strengthened Swedish aeronautical research and innovation - NFFP8: Call for proposals 2 |
Purpose and goal
The project intends to build knowledge about control and construction of electrical systems that are needed for an increased electrification of aircraft engines. The project parties will apply knowledge from the road vehicle industry as well as build new knowledge to meet the aviation industry´s tough specification requirements. Overall objective is to create capability for electric drive systems for an aircraft engine, as well as develop design and control methods.
Expected effects and result
This work provides a greater national capability around electric propulsion systems in the aerospace industry for civil and military application. The project intends to lead to the following results: - a simulation environment with representative conditions - a motor/generator control that works seamlessly from linear modulation into full overmodulation of the power electronics - a system solution with subsystems consisting of power electronics and electric machine - a test lab for testing and validation - a system design with an expedient electric machine design
Planned approach and implementation
The first part of the project focuses on modulation and control of an electric machine system and on a power electronic solution for redundancy and reliability. Experimental verification is planned with existing electric machines and power electronics with self-control to calibrate developed models. The second part focuses on system design, construction of electric machine and at least one load in the form of a pump operation. The project intends to construct and simulate an electric machine with control that represents an optimal combination of performance, weight and redundancy.