Model Predictive Control of Power Electronic Systems: Methods, Results, and Challenges

Abstract

Model predictive control (MPC) has established itself as a promising control methodology in power electronics. This survey paper highlights the most relevant MPC techniques for power electronic systems. These can be classified into two major groups, namely, MPC without modulator, referred to as direct MPC, and MPC with a subsequent modulation stage, known as indirect MPC. Design choices and parameters that affect the system performance, closed-loop stability and controller robustness are discussed. Moreover, solvers and control platforms that can be employed for the real-time implementation of MPC algorithms are presented. Finally, the MPC schemes in question are assessed, among others, in terms of design and computational complexity, along with their performance and applicability depending on the power electronic system at hand.

Current Sensor-Less Virtual Synchronous Generator Model Predictive Control Based on Sliding Mode Observer

“…Other papers, such as [17][18][19], have also studied and verified the effectiveness of MPC strategies. All the results illustrated in [11][12][13][14][15][16][17][18][19] show the effectiveness and superiority of MPC in the region of power electronics and power drives. So, MPC has also been studied to control the VSG very recently in [20][21][22] by several researchers.…”

“…The primary design method for the sliding mode gain K2 is given by (12). Moreover, the detailed analysis of the sliding mode gains is given as follows.…”

“…If the SMO is stable, dY2/dt<0 should hold. That is, the sliding mode gain K1 needs to meet 1 >0 K (17) The basic sliding mode gain selection methods are shown in (12) and (17). To further study the influences of the sliding mode gains K1 and K2 on the observation of the current, another research is carried out in the following by analyzing the bode diagram of the closed-loop transfer function [33].…”

“…In this paper, since the sliding mode gain K2 accounts for (12), K2 should be larger than 0. Therefore, K2 here is set as 2.…”

“…In recent years, a new type of control method, which is named model predictive control (MPC), is receiving more and more attention because of its many advantages, such as easy to understand and extend, flexible to control different targets simultaneously, simple to implement with improved dynamic control performance, etc [11][12][13][14][15][16]. Reviews about MPC strategies are carried out by J. Rodriguez and R. Kennel in [11][12], which show its wide application prospect. T. Geyer studied multistep MPC in [13], which is very suitable for high-power converters and machine drives as its switching frequency can be reduced to several hundred hertz.…”