Control Systems

The Group focuses on the development and implementation of control design methods, as well as process monitoring and diagnostics, with applications in oil and gas, pulp and paper, pharmaceuticals, automotive, aerospace, and nuclear industries.

Our achievements include pioneering work in negative imaginary systems and robustness analysis of non-square systems, now standard tools in nano-positioning force-feedback control for atomic force microscopy, and a novel structure in constrained distributed control (stabilising the storage beam at the Diamond Light Source synchrotron).

Lead Researchers:

Professor Barry Lennox

Barry is a Professor of Applied Control, his research interests are in the development and deployment of robotic systems for nuclear decommissioning applications, applied control systems and the use of acoustic pulse reflectometry for monitoring industrial pipelines. In 2002 he co-founded Perceptive Engineering, a process control solutions provider and through Circor, his work in acoustics has led to the development of equipment that has been commercialised and successfully applied in the North Sea, USA and Asia to detect and locate blockages in subsea pipelines and heat exchangers.

 

 

Dr Joaquin Carrasco

Joaquin is a lecturer in the School of Electronic and Electrical Engineering, his research is carried out in two different fronts: Control applications: He is working on teleoperated systems using haptic joysticks and other robotics applications in hazardous environment along with other control applications such as PLL and power systems applications. Control theory: His interest lies in absolute stability, in particular, the connections between IQC and passivity theories. The search of the multiplier is an attractive problem, which cannot be avoided in order to exploit the advantages of the multiplier theory. Teleoperation seems to be a practical application where multiplier theory can provide a different approach to classical Lyapunov methods.

 

Dr Long Zhang

Long's research mainly focuses on machine and statistical learning, neural networks, system identification, frequency analysis, condition monitoring, intelligent control, instrumentation and their practical applications in smart renewable energy. One of his particular interest lies in the wind turbine condition monitoring and fault diagnosis. He is the director of the first industrial-scale wind turbine pitch bearing and blade laboratory at the University of Manchester.