Judith Apsley received her BA in Electrical Sciences from Cambridge University in 1986, and her PhD from the University of Surrey in 1996. She started her career as a Technologist Apprentice at Westland (now Leonardo) Helicopters (1982-87), then as an Electrical Engineer in the Machines and Drives Department at ERA Technology (1987-1995), (now part of Cobham plc,  followed by industrial control and database projects for an independent software house (1996-2001). She joined  the University of Manchester in 2001 as a Research Associate, becoming a Senior Experimental Officer in 2006 and a Lecturer in 2008.

BA, PhD, CEng

Judith Apsley's main research interest is the modelling and control of electric drive systems. This includes electrical machines, power electronics, microprocessor control, mechanical systems, sensors and the power system. Applications include transport, renewable energy and manufacturing. She is  interested in 

• Electromechanical interactions
• Energy efficiency of multi-drive systems for robotics and machine tools
• Industry 4.0
• Fault tolerant control of multiphase machines
• Drive and generator systems for electric transport applications
• Emulation of mechanical systems using electrical drives
• Control of wind generator systems

• Power Conversion

Dr Apsley has no research funding currently available, but is looking to develop projects in the following areas: 

a) Fault tolerant control strategies for multiphase machines

Survivability and fault tolerance are key issues in the aerospace and marine sectors. Multiphase machines have built-in redundancy, allowing continued operation with one or more phases open circuit, although at a reduced rating. She has ongoing work on multiphase generator systems and automotive drives.

b) Energy efficiency of drive systems and active load management through Industry 4.0.

Ongoing research has identified potential energy savings in multi-motor drives through the inclusion of the electrical machine constraints and losses in the calculation of optimised trajectories, in applications such as machine tools, 3D printers and robots. Active load management of motor drives can be used to provide virtual energy storage and reduce peak energy demand. Both techniques can be combined to reduce overall energy consumption in applications from factories to autonomous vehicles. Industry 4.0 provides the connectivity to achieve this.