Flight Simulation
We have been developing commodity-off-the-shelf (COTS)-based flight simulation capabilities for over a decade. This is largely based around Microsoft Flight Simulator, and the more recent Microsoft ESP visual simulation platform. Our work covers flight simulation for aircraft design, performance and operations.
Our simulation lab includes a reconfigurable twin-seat fixed-based simulator with 160 degree horizontal field-of-view and glass cockpit avionics. We also have other smaller simulators used for a variety of teaching and rsearch projects.
Our expertise covers design of flight simulation systems, exhibits, software, design and implementation. We work closely with Cursive Simulation, a spin-out consultancy that specialises in Microsoft ESP-based solution.
Publications
Takeda, K., and Kenny, J., M. (2008) Service-Oriented Architectures for Flight Simulation. In, Royal Aeronautical Society Flight Simulation Conference 2008, London, UK, May 2008. London, UK, Royal Aeronautical Society, 14pp, 1-14.
Takeda, K., Kenny, J. and Zyskowski, M. (2007) Commodity flight simulation: a SWOT analysis. In, Royal Aeronautical Society Flight Simulation Conference 2007, Flight Simulation Interoperability, Portability and Data: Achieving the user's dream, London, UK, 22-23 May 2007. London, UK, Royal Aeronautical Society, 14pp, 1-14.
Takeda, Kenji and Newman, Simon (2004) Convergence: the future of flight simulation. At, Flight Simulation 1929-2029: A Centennial Perspective, London, UK, 26-27 May 2004. .
Takeda, K. and Newman, S.J. (2003) Flying high at university: flight simulation in the lecture theatre. In, ASEE 2003 Annual International Conference and Exposition in Engineering Education, Nashville, USA, 22-25 June 2003.
Newman, S.J. and Takeda, K. (2003) Low cost flight simulation for light aircraft development. In, Royal Aeronautical Society, Light Aviation Group Conference: Current & Future Developments in Light Aviation, 2003.
Newman, S.J. and Takeda, K. (2002) Simulating the helicopter aerodynamic environment. In, Data for Simulation: The Weakest Link. London, UK, The Royal Aeronautical Society, 35.
