Examinando por Autor "Rodriguez, Jose R."

Mostrando 1 - 2 de 2
  • Miniatura
    Ítem
    Modulated Model-Predictive Control with Optimized Overmodulation
    (Institute of Electrical and Electronics Engineers Inc., 2019-03) Garcia, Cristian F.; Silva, Cesar A.; Rodriguez, Jose R.; Zanchetta, Pericle; Odhano, Shafiq A.
    Finite-set model-predictive control (FS-MPC) has many advantages, such as a fast dynamic response and an intuitive implementation. For these reasons, it has been thoroughly researched during the last decade. However, the waveform produced by FS-MPC has a switching component whose spread spectrum remains a major disadvantage of the strategy. This paper discusses a modulated model-predictive control that guarantees a spectrum switching frequency in the linear modulation range and extends its optimized response to the overmodulation region. Due to the equivalent high gain of the predictive control and to the limit on the voltage actuation of the power converter, it is expected that the actuation voltage will enter the overmodulation region during the large reference changes or in response to load impacts. An optimized overmodulation strategy that converges toward the FS-MPC 's response for large tracking errors is proposed for this situation. This technique seamlessly combines PWM's good steady-state switching performance with FS-MPC 's high dynamic response during large transients. The constant switching frequency is achieved by incorporating modulation of the predicted current vectors in the model-predictive control of the currents in a similar fashion as the conventional space-vector pulsewidth modulation is used to synthesize an arbitrary voltage reference. Experimental results showing the proposed strategy's good steady-state switching performance, its FS-MPC -like transient response, and the seamless transition between modes of operation are presented for a permanent magnet synchronous machine drive. © 2013 IEEE.
  • Miniatura
    Ítem
    Predictive Current Control with Instantaneous Reactive Power Minimization for a Four-Leg Indirect Matrix Converter
    (Institute of Electrical and Electronics Engineers Inc., 2017-02) Garcia, Cristian F.; Rivera, Marco E.; Rodriguez, Jose R.; Wheeler, Pat W.; Pena, Ruben S.
    This paper presents the experimental validation of a predictive current control strategy with minimization of the instantaneous reactive input power for a Four-Leg Indirect Matrix Converter (4Leg-IMC). The topology includes an input matrix converter stage, which provides the dc voltage for a four-leg voltage source converter (VSC) output stage. The VSC's fourth leg provides a path for the zero sequence load current. The control technique is based on a finite control set model predictive control (FCS-MPC) strategy, whereby the switching states for the input and output converters are selected by evaluating a predictive cost function. This results in a simpler approach than that seen in other well-known modulation methods, such as three-dimensional space vector modulation (3D-SVM). Positive dc voltage, (a requirement for the safe operation of the IMC) and minimization of the instantaneous input reactive power are obtained, while maintaining good tracking of the load reference currents. Furthermore, soft switching is achieved by synchronizing the state changes in the input stage with the application of zero voltage space vectors in the inverter stage. The control strategy is experimentally verified using a laboratory prototype. © 1982-2012 IEEE.