Theory and Control Systems

Electromechanical and Power System Control

The interests of this research group focus mainly on analysis, modeling, identification and control of nonlinear systems with special emphasis on the following applications:

  • Electric  machines
  • Power converters
  • Wind energy conversion systems
  • Industrial robots

A model-based robust control design is considered to take account of nonlinearities and parameter variations in electromechanical and power systems. In the framework of robust control techniques, a particular interest is addressed to sliding-mode methods that make plants more than robust, invariant with respect to matched uncertainties and are computational simpler with respect to other robust control approaches.

Though extra costs added by transducers are rather limited, control performance may be affected by sensors inaccuracies and/or faults.  In most applications, these sensors present several disadvantages, such as reduced reliability, susceptibility to noise, additional cost and weight and increased complexity of the system. For these reasons, the so-called sensorless control attract the industrial interest, and induce an intensive research activity in our research group.  

The development of algorithms and simulation tools and their application to embedded real-time control solutions are also within our research topics.  The support of  Texas Instruments within the "European University Program" allow our research group the implementation of prototypes based on embedded industrial platform, very useful for our research activities and technology transfer capabilities

Laboratory Robotics Lab. at DII
Contact PersonGianluca IppolitiGiuseppe Orlando

  • Prof. Maria Letizia Corradini (University of Camerino)
  • Texas Instruments (European University Program)