Vienna rectifier is a typical three-level rectifier with complicated operating constraints. Also, the constraints pose a challenge for designing controllers with good dynamic performance. As predictive control is good at dealing with constraints, an optimal switching sequence model predictive control (OSS-MPC) strategy for the three-phase Vienna rectifier is proposed. A proportional-integral controller is designed to regulate the dc-link voltage. Also, an improved OSS-MPC method is utilised to control the input currents. Compared to the conventional finite control set model predictive control, it has the extra advantages of improved steady-state performance, fixed switching frequency, and elimination of weight factors. Simulation and experimental results verify the correctness and effectiveness of the proposed control scheme.
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For the digitally controlled Buck converters, the nonlinearity and time-periodicity, caused by the pulse-width modulator (PWM) and sample-and-hold, make the accurate frequency-domain analysis intractable. In this paper, based on the harmonic transfer function (HTF) approach, a precise small-signal continuous-time modeling for the digitally controlled Buck converter operating in continuous-conduction mode (CCM) under constant-frequency voltage-mode control is presented. The sideband components on the closed-loop control are embedded in the model. Thus, this model is accurate within the full frequency domain region, which breaks the limit of Nyquist frequency. Furthermore, by overcoming the barrier of infinite series introduced by the sideband effects, the analytical loop gain expression is derived, which contributes to accurate stability assessment and reduction of computation burden. In addition, the proposed exact small-signal model has explained the reasons why different information injection points lead to different measured loop gains. Simulations and experimental results are conducted to verify the effectiveness of the proposed method.
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