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Robust predictive control strategy of SCIG-based drive system.
Mishra, Rupa; Saha, Tapas Kumar.
Afiliación
  • Mishra R; School of Electrical Engineering, Vellore Institute of Technology Chennai, Chennai 600127, India. Electronic address: rupa.mishra@vit.ac.in.
  • Saha TK; Department of Electrical Engineering, National Institute of Technology Durgapur, Durgapur 713209, India.
ISA Trans ; 150: 198-207, 2024 Jul.
Article en En | MEDLINE | ID: mdl-38777694
ABSTRACT
This article presents a robust finite control set predictive scheme for a stand-alone squirrel cage induction generator (SCIG) drive. This technique is considered an alternative to the drive system due to the inclusion of system nonlinearities and fast dynamic response. The control objective in the distributed generation environment is to fix the output voltage to follow the stand-alone requirement. The strategy establishes optimized switching instants for cost function minimization for both source and load converter control and diminished cross-coupling amid active and reactive power during transient scenarios. The scheme is designed to achieve the minimal effect caused by the parameter uncertainties. During source and load changes, this work will also address the maintenance of dc-link voltage, machine, and load variables at the set value, supported by machine and load-end converter control to achieve stand-alone load objectives. In addition, the presented scheme is also tested with random variation of speed to check the efficacy of the control configuration. The drive performance is evaluated by simulation using MATLAB/Simulink environment. Comprehensive real-time findings obtained from a scaled laboratory test bench using dSPACE-1104 are provided to verify the feasibility of the predictive solution.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: ISA Trans Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: ISA Trans Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos