Predictive Control in Power Converter Applications: Challenge and Trends

Hosseinzadeh, Mohammad Ali; Sarbanzadeh, Maryam; Sarebanzadeh, E.; Rivera, Marco; Muñoz, Javier

doi:10.1109/ica-acca.2018.8609704

Cited by 4 publications

(8 citation statements)

References 38 publications

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“…where i L [n] is the average inductor current in the current state, T i represents the sampling period of the current controller. If the actual inductor current i L [n + 2] accurately tracks the reference inductor current i ref L , the duty cycle d[n] can be devised from Equation (12) and is of the form…”

Section: Model-free Predictive Current Controller Of Inner-loopmentioning

confidence: 99%

“…Comparatively, model predictive control as an advantageous alternative for fast response has gained attention in the field of boost PFC current control. [12][13][14][15] Predictive control combined with a DCM detection circuit is used to make up for degraded current by identifying the DCM period. 16 New current predictive controller under DCM operation cooperates with the original predictive controller under CCM operation in the light of operation mode detection algorithm.…”

Section: Introductionmentioning

confidence: 99%

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Cascaded model‐free predictive control for single‐phase boost power factor correction converters

Zhang

et al. 2021

Intl J Robust & Nonlinear

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Conventionally, the dual-loop PI controllers are designed for the single-phase boost power factor correction (PFC) converters operating under continuous conduction mode (CCM), which is not available to perform rapid adaptations to plant uncertainties caused by the different operation modes and the parameter variations. In order to improve the control performance and robustness, a cascaded model-free predictive control (MFPC) scheme is proposed based on the unified ultra-local model under CCM and discontinuous conduction mode (DCM) for the single-phase boost power factor correctors. Different from the traditional sluggish PI controllers, the proposed control law is adaptive to the operation mode and sudden variations with the algebraic identification technique, thus providing high-quality line current and fast dynamic characteristic for the full power operating range. Comparative simulations and experiments with PI control scheme are provided to certificate the effectiveness of the proposed control scheme.

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Section: Model-free Predictive Current Controller Of Inner-loopmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Cascaded model‐free predictive control for single‐phase boost power factor correction converters

Zhang

et al. 2021

Intl J Robust & Nonlinear

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“…The term g I can now be added to the conventional CF in Equation (20), and the weight λ d controls its effect:…”

Section: Proposed Fcs-mpc Schemementioning

confidence: 99%

“…FCS-MPC has been discussed intensively in [11][12][13][14][15][16] for grid-connected applications and [17][18][19] provide detailed discussions on the performance of different FCS-MPC algorithms. To sum up the detailed discussion in the references mentioned above, FCS-MPC enabled simplicity and ease of including the constraints and non-linearities, and it has been proposed to be applied in many applications such as electrical drives and grid-connected power electronic systems [20,21]. Mainly, these promising results were achieved because of the general concept of FCS-MPC, which is based on the principle of using a discrete model of the power converter with an associated filter to predict its future behaviour for all possible control inputs and, consequently, apply the one that minimizes a programmed cost function (CF) at every sampling time [17] (see Figure 2).…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Control of Grid Forming Converters with Enhanced Power Quality

et al. 2020

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This paper proposes an enhanced finite control set model predictive control (FCS-MPC) strategy for voltage source converter (VSC) with a LC output filter. The proposed control scheme is based on tracking the voltage reference trajectory by using only a single-step prediction within the controller horizon. Besides, the suitability of different frequency control schemes with the proposed scheme to prevent from inherent variable switching behaviour of conventional FCS-MPC is investigated. Based on that, the proposed method targets two major factors influencing power quality in grid forming applications by enhancing the output voltage harmonic distortion and also preventing variable switching behaviour of FCS-MPC. Although compared to multi-step prediction approaches, only a single-step multi-objective cost function to improve computation efficiency is utilized, the introduced control schemes are able to deliver higher power quality compared to its counterpart methods as well. Furthermore, the effect of different applied cost functions on the transient response of the system is studied and investigated for the future use of the VSC in microgrids (MGs). The effectiveness of the proposed scheme was assessed by simulation using MATLAB/SIMULINK and experiment using a 5.5 kVA VSC module and the results were in good agreement.

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“…Indeed, MPC consists in predicting the values of variables to be controlled. To do so, a cost function is used and minimized in such a way that the optimum value of the control signals of the power converter switching states are calculated at each sample time [4,6,7]. Based on the type of optimization (integer or non-integer), two subdivisions may be considered for the MPC.…”

Section: Introductionmentioning

confidence: 99%

Theoretical and Experimental Comparative Analysis of Finite Control Set Model Predictive Control Strategies

et al. 2023

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This research paper studies and highlights the features of the most popular finite control set model predictive control (FCS-MPC) strategies available in the state of the art, which are the optimal switching vector (OSV-MPC), modulated model predictive control (M2PC), and optimal switching sequence (OSS-MPC) methods. Thus, these strategies are studied experimentally by analyzing the transient and steady state performance using a grid tie conventional three-phase two-level voltage source inverter (VSI) with inductive output filter in a Typhoon HIL real-time simulator (RTS) with a Texas Instruments F28379D digital signal processor (DSP). Hence, quantitative indicators, such as the maximum tracking error, the mean absolute error, the settling time, the total harmonic distortion, the switching frequency spectrum, the switching pattern, and the computational burden are compared with the aim to deduce the best strategy for each criteria.

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Predictive Control in Power Converter Applications: Challenge and Trends

Cited by 4 publications

References 38 publications

Cascaded model‐free predictive control for single‐phase boost power factor correction converters

Cascaded model‐free predictive control for single‐phase boost power factor correction converters

Model Predictive Control of Grid Forming Converters with Enhanced Power Quality

Theoretical and Experimental Comparative Analysis of Finite Control Set Model Predictive Control Strategies

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