Nonlinear Optimal Control of Magnetically Geared Induction Motors
 
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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
 
 
Corresponding author
Gerasimos G. Rigatos   

Industrial Systems Institute
 
 
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.
eISSN:2543-4292
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