Torque ripple minimization in SRM drive using second-order-generalized-integrator-based FLL equivalent PR current controller

A second-order-generalized-integrator (SOGI)-based frequency-locked-loop (FLL) equivalent proportional-resonant (PR) current controller is introduced in this paper to minimize torque ripple in switched reluctance motor (SRM) drive system. The typical cascaded closed-loop speed control of SRM compris...

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Bibliographic Details
Published in:Electrical engineering 2023-08, Vol.105 (4), p.2421-2441
Main Authors: Sial, Manas Ranjan, Sahoo, N. C.
Format: Article
Language:English
Subjects:
Closed loops
Dynamic models
Economics and Management
Electric motors
Electrical Engineering
Electrical Machines and Networks
Energy Policy
Engineering
Equivalence
Frequency locking
Fuzzy control
Fuzzy logic
Hysteresis
Integrators
Lookup tables
Original Paper
Power Electronics
Predictive control
Proportional integral
Ripples
Speed control
Torque
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Summary:A second-order-generalized-integrator (SOGI)-based frequency-locked-loop (FLL) equivalent proportional-resonant (PR) current controller is introduced in this paper to minimize torque ripple in switched reluctance motor (SRM) drive system. The typical cascaded closed-loop speed control of SRM comprises a speed controller giving desired torque, a static look-up table mapping the desired torque to desired/reference phase currents of SRM, and a current controller to track the reference phase currents. It is often seen that conventional current controllers like hysteresis controllers, proportional-integral (PI) controllers, and even intelligent controllers such as fuzzy logic controllers and model predictive direct torque controllers (MPDTC) are not very effective in minimizing the torque pulsations for a wide range of operating scenarios. The proposed SOGI-FLL-PR-based current control strategy is aimed at improving torque control under a wide range of operations of SRM. The performance of the proposed current controller has been compared to that of traditional current controllers like the hysteresis controller, the proportional-integral controller, the fuzzy logic current controller (FLCC), and MPDTC; and has shown to be superior in both simulation and experimental studies. Our study details a systematic approach to the dynamic modeling of SRMs, control strategy formulation, dynamic analysis, and experimental verification.
ISSN:0948-7921
1432-0487
DOI:10.1007/s00202-023-01811-9