KEYWORD |
Control of Switched Reluctance Electric Motors (SRM)
Thesis in external company
keywords CONTROL, ELECTRICAL MACHINES, POWER SYSTEM, SWITCHING ARCHITECTURES
Reference persons IUSTIN RADU BOJOI, ALESSANDRO RIZZO
Thesis type SIMULATIVE AND EXPERIMENTAL
Description Background
SRMs belong to a class of electric motors that are typically seen as an alternative to the traditional Permanent Magnet (PM) motors. Despite their potential advantages in terms of efficiency, power density, simpler design and lower cost, they have not been really considered in the automotive industry for several technical challenges still not solved. The major issues are related to the complex power electronics and control systems that need to be adopted to cope with the intrinsic non-linear nature of this type of motors. Moreover, the performances are not at the level of PM motors when we talk about torque smoothness and driver comfort especially in the automotive sector.
There is anyway an interest in this technology due to the above potential advantages, the industry is looking for further innovation in the SRM control systems (control algorithms and electronics) to bridge the gap with PM motors technology.
Main items to be covered during the thesis work
Understanding (from Control perspective) of the SRM physics and engineering fundamentals including power electronics
Literature review of the state of the art control algorithm for SRMs and identification of the main pain points
Control oriented SRM Modeling
Design and simulate a basic prototypal algorithm
(optional) Proposal for an alternative optimal control scheme and formulation of the control problem
Required skills Required skills
Automatic Controls strong fundamentals (advanced controls academic courses are a plus)
basic knowledge on Electrical Machines
basic knowledge on eDrive power electronics and related controls
Modeling techniques
Matlab/Simulink
Pyhton programming (preferred)
Notes Thesis developed in collaboration with Punch Softronix
Deadline 10/05/2024
PROPONI LA TUA CANDIDATURA