The Complex Systems and Signal Processing research group has an applied engineering focus involving multi-disciplinary collaboration via engineering companies and industrial research institutes. Here are some examples of collaborative partnerships.

Vestas Logo

The group has successfully developed individual blade-pitch control algorithms to attenuate the harmful structural loads experienced by wind turbine generators. This control solution is currently being benchmarked by Vestas in-house, to establish the business case for taking the design forward to production.

Building on the group’s success in estimating complex fluid flows, wind turbine gust prediction techniques have been pioneered using measurements from state-of-the-art Light Detection and Ranging (LiDAR) instruments. This project was supported by Vestas and has yielded a system that can pinpoint the strength, direction and location of oncoming gusts of wind. This paves the way for designing preview blade-pitch control systems that will dramatically reduce harmful wind turbine loads.

BAE Systems Logo

It is well known that increasing damping can improve vibration performance around resonance but is often detrimental for performance at higher frequencies. The group has rigorously proven that nonlinear damping can systematically resolve this fundamental problem. The result provides the foundation for solutions to a wide range of challenging vibration control problems and has enabled the development of new magneto-rheological damper based smart actuators, and novel damping for a BAE Systems rig. The outcomes have also initiated significant application studies involving vibration control of an offshore wind tower in Germany.

NHS Sheffield

In collaboration with NHS neurologists, the group has developed the first reliable method to detect the onset of epileptic seizure several seconds before the seizure occurs.

An electroencephalogram (EEG) is routinely used in the evaluation of brain disorders including the diagnosis and treatment of epilepsy. The group has introduced fundamentally new algorithms to model time varying processes, to track rapid parameter variations, and to map these to frequency domain behaviours. The algorithms have now been incorporated into existing EEG software packages and following full ethical approval has been used in clinical practice at the Sheffield Hallam Teaching Hospital NHS Foundation Trust.