Model Predictive Direct Slope Control for Power Converters

Abstract

Model predictive control (MPC) schemes have become popular in the field of power electronics due to their intuitive formulation, flexibility, and ease of implementation. Typically, these schemes have been implemented with the prediction horizon limited to one time-step, and extension of the prediction horizon over multiple time-steps remains an ongoing area of research. In this paper, a variant of the MPC strategy is proposed wherein the slope of the output trajectories is used to emulate long prediction horizons. Each of the outputs, e.g. current, voltage, torque, or flux, is regulated within a set of symmetrical bounds. When switching is necessitated due to collision with a bound, the switching state that yields the set of output trajectories with the minimum slope, relative to the reference trajectory, is applied to the converter. The key benefit of this approach is its ability to achieve low switching frequencies with a minimal level of computational burden. The feasibility of the scheme, which can be adapted easily to different case studies, is demonstrated through simulations of both a Medium-Voltage (MV) induction machine drive and a grid-connected converter. Experimental results, which are presented for a 1.68 kVA prototype grid-connected Neutral-Point-Clamped (NPC) converter, further demonstrate the practical viability of the proposed strategy. Index Terms-Current control, model predictive control, neutral point clamped converter, slope control.

Optimal Filter Design for Power Converters Regulated by FCS-MPC in the MEA

“…The design points in Pareto front are also shown; however, they are not all preferred solutions according to the r-value criterion. The best design point chosen by (21), (22) is given in Table III together with the inner resistance. Fig.…”

“…Point-of-load converter control has been challenging since such electronic loads have a negative incremental impedance. Among the control strategies for such loads, the finite control set model predictive control (FCS-MPC) [19]- [21] is applied since it allows a much better transient response and similar steady-state performance compared to linear control methods [19]. Furthermore, FCS-MPC is characterized by its robust capability to deal with over 100% control parameter mismatch which is a big gain over linear control methods [22].…”

A low-cost and flexible architecture of digitally controlled DC-DC converter to improve dynamic performance

“…Because of this, MPC for electrical drive systems has become more popular in the research community in the last years. The MPC techniques that are applied to switching power converters are assorted into two main classes: continuous control set MPC (CCS-MPC) and FCS-MPC [17][18][19]. In the first class, the switching states generated by the modulator start from the continuous output of the predictive controller.…”

Modulated predictive current control for a two‐level grid‐connected converter with over‐modulation capability

“…Some of the promising features of FCS-MPC are the fast transient response, simplicity in implementation, and capability of multiple objectives control [12,13]. Until now, several successful implementations of FCS-MPC have been reported for grid-tied power converter applications [12][13][14][15][16]. In [15], a predictive DPC (P-DPC) technique is implemented that does not require sector information.…”