Abstract
Brushless doubly fed induction machines (BDFIMs) feature some important advantages, such as high reliability and low maintenance cost, over alternative solutions for brushless machine applications. This paper proposes a modulated model predictive control (MPC) algorithm for BDFIMs, which achieves a fixed switching frequency and superior system performance. An improvement of power quality is shown in this paper when compared to the conventional finite-control set-MPC. This paper examines the design and implementation of the modulation technique as well as presenting the simulation and experimental results to verify the technique’s operation.
Highlights
With the current concern about climate change, the world is paying more attention to the power sector
1 The permanent magnet synchronous machine (PMSM) [3,4,5] and the doubly-fed induction machine (DFIM) [6,7] are the most common machines used in these applications
This paper presents the application of an modulated model predictive control (MMPC) strategy for the brushless doubly-fed induction machine (BDFIM)
Summary
With the current concern about climate change, the world is paying more attention to the power sector. The gearbox is not needed, which leads to high reliability and longevity, but the price is increased as the power converter must process all the electrical energy generated. The DFIM often has a high performance-price ratio when adopted in wind generation applications, partly due to the fact that the power converter only processes a fraction of the electrical energy generated. Power devices, the finite control set-model predictive control (FCS-MPC) is being considered as an alternative control method of power converters due to its advantages such as fast dynamic response, easy inclusion of nonlinearities and constraints of the system, and the flexibility to include other system requirements in the controller [28,29,30]. Compared with FCS-MPC, MMPC achieves a fixed switching frequency, higher reactive power control accuracy, and lower torque ripple.
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