Reduction of Prediction Errors for the Matrix Converter with an Improved Model Predictive Control

Feng, Shuang; Wei, Chaofan; Lei, Jiaxing

doi:10.3390/en12153029

Cited by 10 publications

(10 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Estas estructuras han sido ampliamente estudiadas y son los convertidores utilizados en la industria actual [1]. En el grupo de circuitos de AC/AC sin un elemento almacenador de energía, se han reportado diferentes topologías en la literatura, que se clasifican en tres grupos principales: el cicloconvertidor en una amplia variedad de potencia, el convertidor matricial directo (DMC) [2] y el convertidor matricial indirecto (IMC), ambos en rango de baja potencia [3].…”

Section: Introducci óNunclassified

Reactive Power Control Using a Model-Based Predictive Control Strategy Applied to an Indirect Matrix Converter

Rojas

Rivera

Toledo

et al. 2021

2021 IEEE International Conference on Automation/Xxiv Congress of the Chilean Association of Automatic Control (ICA-ACCA)

View full text Add to dashboard Cite

Reactive power is often an issue of concern for the operation of alternating current (AC) electrical power systems. This work aims to apply a model-based predictive control (MPC) to an indirect matrix converter (IMC) to improve the power factor at the input of a converter whilst still having full control of the output current or voltage. Simulation results from a Matlab/Simulink model are presented. The objective is to compare the control performance of the IMC without input reactive power control and with reactive power minimization.

show abstract

Section: Introducci óNunclassified

Reactive Power Control Using a Model-Based Predictive Control Strategy Applied to an Indirect Matrix Converter

Rojas

Rivera

Toledo

et al. 2021

2021 IEEE International Conference on Automation/Xxiv Congress of the Chilean Association of Automatic Control (ICA-ACCA)

View full text Add to dashboard Cite

show abstract

“…This allows to minimize the complexity of the calculations in the algorithm, yet at the same time the dynamics of the plant could be worse, especially in the presence of the constraints. However, according to the review of the literature, this approach is commonly used in the domain of power electronics and drive control, particularly of current and torque control [5,[8][9][10][11][12]18,23,[28][29][30][31][32][33][34][36][37][38][39][40][41].…”

Section: Introductionmentioning

confidence: 99%

“…The MPC can also be divided, with reference to the character of the control signal, into CS-MPC (Continuous Set Model Predictive Control) and FS-MPC (Finite Set Model Predictive Control) [9][10][11]33,34,[36][37][38]. In the first framework the MPC controller generates the signal, which takes any value within the specified range.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Model Predictive Base Direct Speed Control of Induction Motor Drive—Continuous and Finite Set Approaches

2020

View full text Add to dashboard Cite

In the paper a comparative study of the two control structures based on MPC (Model Predictive Control) for an electrical drive system with an induction motor are presented. As opposed to the classical approach, in which DFOC (Direct Field Oriented Control) with four controllers is considered, in the current study only one MPC controller is utilized. The proposed control structures have a cascade free structure that consists of a vector of electromagnetic (torque, flux) and mechanical (speed) states of the system. The first investigated framework is based on the finite-set MPC. A short horizon predictive window is selected. The continuous set MPC is used in the second framework. In this case the predictive horizon contains several samples. The computational complexity of the algorithm is reduced by applying its explicit version. Different implementation aspects of both MPC structures, for instance the model used in prediction, complexity of the control algorithms, and their properties together with the noise level are analyzed. The effectiveness of the proposed approach is validated by some experimental tests.

show abstract

“…In addition to the simple concept and easy implementation, FS-MPC features fast dynamic response and multi-objective optimization. As the most popular predictive control scheme in recent years, FS-MPC has been applied to various power converters [21][22][23][24][25][26], including those used in naval MGs, which are similar to the aircraft MGs [27,28].…”

mentioning

confidence: 99%

A Hybrid Predictive Control for a Current Source Converter in an Aircraft DC Microgrid

et al. 2019

View full text Add to dashboard Cite

A current source converter (CSC) is a promising topology for interfacing aircraft generators with the onboard DC microgrid. In this paper, a hybrid predictive control is proposed for the CSC with an output LC filter in such application. Deadbeat predictive control with larger sampling time is applied to the output circuit, generating reference source currents. Finite-set model predictive control with smaller sampling time is applied to the input circuit to achieve sinusoidal source currents, which is simplified by saving the source current predictions. The proposed scheme eliminates both the proportional-integral controller and the weighting factor, which are required in the existing studies. Besides, it has lower control complexity. A SiC-MOSFET-based prototype is used to verify the validity of the proposed scheme. Experimental results under 150 V/350-800 Hz AC input and 270 V DC output demonstrate the superior control performance.Abstract: A current source converter (CSC) is a promising topology for interfacing aircraft 10 generators with the onboard DC microgrid. In this paper, a hybrid predictive control is proposed 11 for the CSC with an output LC filter in such application. Deadbeat predictive control with larger 12 sampling time is applied to the output circuit, generating reference source currents. Finite-set model 13 predictive control with smaller sampling time is applied to the input circuit to achieve sinusoidal 14 source currents, which is simplified by saving the source current predictions. The proposed scheme 15 eliminates both the proportional-integral controller and the weighting factor, which are required in 16 the existing studies. Besides, it has lower control complexity. A SiC-MOSFET-based prototype is 17 used to verify the validity of the proposed scheme. Experimental results under 150 V/350-800 Hz 18 AC input and 270 V DC output demonstrate the superior control performance.19 Keywords: more electric aircraft; DC microgrid; current source converter; deadbeat predictive 20 control; finite-set model predictive control 21 22 Energies 2019, 12, x FOR PEER REVIEW 3 of 14 while FS-MPC is applied to control source currents. Reference source currents are generated from the 86 output DBPC. In addition, the output DBPC has larger sampling time and the input FS-MPC is 87 simplified by eliminating source current predictions, which reduces the computational burden. 88This paper is organized as follows. Section 2 presents the mathematical model of the CSC system 89 for aircraft DC MG. Section 3 elaborates the principle of the proposed hybrid predictive control 90 scheme. Section 4 shows the simulation and experimental verification. Section 5 draws the conclusion.91 2. Mathematical Model of the CSC System 92 Schematic of the CSC system for the aircraft DC MG is shown in Figure 2. Power source 93 connected to the input side of CSC could be the variable frequency main generators or the auxiliary 94 power units. The input LC filter constituted by the inductor Lfi and the capacitor Cfi attenuates high-95 frequ...

show abstract

Reduction of Prediction Errors for the Matrix Converter with an Improved Model Predictive Control

Cited by 10 publications

References 27 publications

Reactive Power Control Using a Model-Based Predictive Control Strategy Applied to an Indirect Matrix Converter

Reactive Power Control Using a Model-Based Predictive Control Strategy Applied to an Indirect Matrix Converter

Model Predictive Base Direct Speed Control of Induction Motor Drive—Continuous and Finite Set Approaches

A Hybrid Predictive Control for a Current Source Converter in an Aircraft DC Microgrid

Contact Info

Product

Resources

About