Foto del docente

Andrea Tilli

Associate Professor

Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi"

Academic discipline: IINF-04/A Systems and Control Engineering

Research

Keywords: Modelling, dimensioning and control of electric drives complex power electronics equipments Modelling, dimensioning and control of mechatronic systems Themal control of multicore and manycore systems-on-chip Nonlinear adaptive control Internal-model-based control

1) IDENTIFICATION AND CONTROL OF ELECTRIC DRIVES
The main subject is sensorless control of synchronous and asynchronous electric machines. "Sensorless" means "without position/speed sensor on the rotor shaft". Nonlinear Adaptive Control and Internal Model Principle techniques are adopted and combined with standard field-oriented solutions. The main objectives are:
a) to improve performance w.r.t. existing solutions;
b) to provide formal proof of convergence and stability for the new solutions by means of Lyapunov methods.

2) MODELLING AND CONTROL OF POWER ELECTRONICS EQUIPMENTS
Power electronics is crucial in energy generation and management (e.g. wind turbines, smart grids). Recent developments in this field require an integrated approach to electronic topology definition, component dimensioning and control design. Energy-based modelling and internal model control are exploited to tackle such issues. Another important point is the robustness with respect to off-nominal working conditions. In this respect,  advanced nonlinear anti-windup techniques are proposed.

3) THERMAL MODELLING AND CONTROL OF COMPUTING PLATFORMS
Upcoming multi-core and many-core systems-on-chip need a dynamical management of running frequencies and computing task to guarantee a safe thermal behavior. In this respect, advanced identification and model predictive control techniques are propose to achieve compact and scalable solutions giving reliable temperature capping, while maximizing computing performance.

4) MODELLING AND CONTROL OF AUTOMOTIVE SYSTEMS
Past activities:
a) modelling and control of drive-line behaviour and traction by means of servo-actuated clutch and gear-box;
b) modelling and control of cam-less systems;
c) modelling, architectural design, component sizing and control of hybrid vehicles.  

5) DESIGN METHODOLOGIES FOR LOGIC CONTROL IN AUTOMATION
Supervision and control of large-scale and distributed automation systems require involved logic control functionalities. In the past, some research activities have been carried out to define design methodologies and tools where clear separation of "mechanisms" and "policies" is exploited to obtain subsystems composability.