Sequential Model Predictive Control of Three-Phase Direct Matrix Converter

Energies

Margarita Norambuena¹  David Dorrell²  Jose Rodriguez³  Li Li⁴  Jianwei Zhang⁴ 

[1] Departamento de Ing. Electrica, Universidad Tecnica Federico Santa Maria, Valparaiso 2390123, Chile;Department of Electrical Engineering, University of KwaZulu-Natal, Durban 4001, South Africa;Facultad de Ingenieria, Universidad Andres Bello, Santiago 7500791, Chile;Faculty of Engineering and IT, University of Technology Sydney, Broadway NSW 2007, Sydney, Australia;

关键词: Matrix converter (MC);    model predictive control (MPC);    sequential model predictive control (SMPC);    weighting factors;   

DOI  :  10.3390/en12020214

来源: DOAJ

【 摘 要 】

The matrix converter (MC) is a promising converter that performs the direct AC-to-AC conversion. Model predictive control (MPC) is a simple and powerful tool for power electronic converters, including the MC. However, weighting factor design and heavy computational burden impose significant challenges for this control strategy. This paper investigates the generalized sequential MPC (SMPC) for a three-phase direct MC. In this control strategy, each control objective has an individual cost function and these cost functions are evaluated sequentially based on priority. The complex weighting factor design process is not required. Compared with the standard MPC, the computation burden is reduced because only the pre-selected switch states are evaluated in the second and subsequent sequential cost functions. In addition, the prediction model computation for the following cost functions is also reduced. Specifying the priority for control objectives can be achieved. A comparative study with traditional MPC is carried out both in simulation and an experiment. Comparable control performance to the traditional MPC is achieved. This controller is suitable for the MC because of the reduced computational burden. Simulation and experimental results verify the effectiveness of the proposed strategy.

【 授权许可】

Unknown