Nonlinear Optimal Control of Magnetically Geared Induction Motors
More details
Hide details
1
Unit of Industrial Automation, Industrial Systems Institute, Athena RC, Rion Patras, 26504, Greece
2
Department of Management and Innovation Systems, University of Salerno, Fisciano 84084, Italy
3
Department of Electrical Engineering, University of Johannesburg, Johannesburg 2006, South Africa
4
Department of ECS Engineering, Rensselaer Polytechnic Institute, New York, NY 12065, USA
5
Depatment of Industrial Engineering, University of Salerno, Fisciano 84084, Italy
These authors had equal contribution to this work
Power Electronics and Drives 2025;10 (45):227-240
KEYWORDS
TOPICS
ABSTRACT
The present article proposes a non-linear optimal control method for magnetically geared induction motors (MGIMs). It is proven that
the dynamic model of the magnetically geared three-phase induction motor is differentially flat, which confirms the controllability of
this system. Next, to apply the non-linear optimal control scheme, the dynamic model of the magnetically geared motor undergoes
approximate linearisation with the use of a first-order Taylor-series expansion and through the computation of the associated Jacobian
matrices. For the approximately linearised model of the MGIM, an H-infinity optimal feedback controller is designed. To compute the
controller’s stabilizing feedback gains, an algebraic Riccati equation has to be solved repetitively at each time-step of the control
algorithm. The global stability properties of the non-linear optimal control scheme are proven through Lyapunov analysis.