In a conventional FCS-MPC formulation, active and reactive power control loops rely on the predictive controller while the dc-bus voltage is usually governed by a PI-based control loop. This comes from fact that the dynamic equations for describing the predictions of these variables are heavily coupled. In this paper, a cascadefree finite control set model predictive control (FCS-MPC) for single-phase grid-connected power converters is presented. The proposed control algorithm is formulated in terms of established dynamic references design, which was originally proposed to directly govern active and reactive power, and dc-voltage in three-phase power converters. In this work, the dynamic reference design concept is extended to control single-phase grid-connected power converters. The proposed control algorithm does not use instantaneous ac-power calculations; instead it directly formulates the optimal control problem on the grid-current in the original stationary reference frame. The experimental results obtained with a single-phase grid-connected Neutral Point Clamped (NPC) converter confirm a successful design, where system constraints, e.g. maximum power and weighted switching frequency, are easily taken into account.
The experimental implementation and performance analysis of control techniques applied to an indirect matrix converter are presented here, to improve the input current behaviour under resonances and harmonics distortions. The control strategies are based on model predictive control, which uses the commutation state of the converter in the subsequent sampling time, according to an optimisation algorithm given by a simple cost function and the discrete system model. Experimental results with a laboratory prototype are provided in order to validate the different control schemes, and the effects of a distorted source voltage and filter resonance are analysed.
Munoz, JA (Munoz, Javier A.); Baier, CR (Baier, Carlos R.). Univ Talca, Dept Ind Technol, Talca 747C, ChileDigital signal processors (DSPs) and field-programmable gate arrays (FPGAs) are predominant in the implementation of digital controllers and/or modulators for power converter applications. This paper presents a systematic comparison between these two technologies, depicting the main advantages and drawbacks of each one. Key programming and implementation aspects are addressed in order to give an overall idea of their most important features and allow the comparison between DSP and FPGA devices. A classical linear control strategy for a well-known voltage-source-converter (VSC)-based topology used as Static Compensator (STATCOM) is considered as a driving example to evaluate the performance of both approaches. A proof-of-concept laboratory prototype is separately controlled with the TMS320F2812 DSP and the Spartan-3 XCS1000 FPGA to illustrate the characteristics of both technologies. In the case of the DSP, a virtual floating-point library is used to accelerate the control routines compared to double precision arithmetic. On the other hand, two approaches are developed for the FPGA implementation, the first one reduces the hardware utilization and the second one reduces the computation time. Even though both boards can successfully control the STATCOM, results show that the FPGA achieves the best computation time thanks to the high degree of parallelism available on the device
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