Nonlinear Optimal Control of Magnetically Geared Induction Motors
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P. Siano 2,3
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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
 
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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.
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