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finite control set model predictive control for Dynamic Reactive Power Compensation With Hybrid Active Power Filters

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IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2018年第3期65卷 2608-2617页

作者： Ferreira, Silvia Costa Gonzatti, Robson Bauwlez Pereira, Rondineli Rodrigues da Silva, Carlos Henrique Borges da Silva, L. E. Lambert-Torres, Germano Lavras Federal University Lavras Brazil Itajuba Federal University Itajuba Brazil Itajuba Federal University Itajuba Brazil Electrical Engineering Institute Universidade Federal de Ouro Preto Joao Monlevade Brazil Itajuba Federal University Itajuba Brazil PS Solutions Itajuba Brazil

This paper applies finite control set model predictive control (FCS-MPC) for dynamic reactive power compensation using a hybrid active power filter (HAPF). The FCS-MPC uses a model based on LCL-filter equations to predict the system behavior and optimize the control action. In fact, the application of FCS-MPC in grid-connected converters with LCL-Filter is quite recent. This algorithm is a very promising control technique for power electronics converters and its use for reactive power control of hybrid filter has not been reported in the literature yet. This paper uses the FCS-MPC in a multivariable structure along with an adaptive notch filter to damp resonance. The main purpose is to improve the dynamic response of the HAPF. Simulation as well as practical results prove the feasibility of FCS-MPC application in HAPF reactive power control. The dynamic response of the equipment was significantly improved and represents the main contribution of this paper. As a result, the FCS-MPC allows tracking fluctuations and abrupt changes in load reactive power.

关键词： Dynamic reactive power compensation finite control set model predictive control hybrid active power filter LCL-filter model predictive control

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finite control set model predictive control of Six-Phase Asymmetrical Machines-An Overview

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ENERGIES 2019年第24期12卷 4693页

作者： Goncalves, Pedro Cruz, Sergio Mendes, Andre Univ Coimbra Dept Elect & Comp Engn Polo 2 Pinhal Marrocos P-3030290 Coimbra Portugal Inst Telecomunicacoes Polo 2 Pinhal Marrocos P-3030290 Coimbra Portugal

Recently, the control of multiphase electric drives has been a hot research topic due to the advantages of multiphase machines, namely the reduced phase ratings, improved fault tolerance and lesser torque harmonics. finite control set model predictive control (FCS-MPC) is one of the most promising high performance control strategies due to its good dynamic behaviour and flexibility in the definition of control objectives. Although several FCS-MPC strategies have already been proposed for multiphase drives, a comparative study that assembles all these strategies in a single reference is still missing. Hence, this paper aims to provide an overview and a critical comparison of all available FCS-MPC techniques for electric drives based on six-phase machines, focusing mainly on predictive current control (PCC) and predictive torque control (PTC) strategies. The performance of an asymmetrical six-phase permanent magnet synchronous machine is compared side-by-side for a total of thirteen PCC and five PTC strategies, with the aid of simulation and experimental results. Finally, in order to determine the best and the worst performing control strategies, each strategy is evaluated according to distinct features, such as ease of implementation, minimization of current harmonics, tuning requirements, computational burden, among others.

关键词： multiphase electric drives multiphase machines six-phase machines finite control set model predictive control predictive current control predictive torque control

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finite control set - model predictive control Based On Sliding Mode For Bidirectional Power Inverter

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IEEE TRANSACTIONS ON ENERGY CONVERSION 2021年第4期36卷 2814-2824页

作者： Estrada, Leonel Vazquez, Nimrod Vaquero, Joaquin Hernandez, Claudia Arau, Jaime Huerta, Hector Higher Technol Inst South Guanajuato Uriangato 38980 GTO Mexico Technol Inst Celaya Technol Natl Mexico Celaya 38010 GTO Mexico Univ Rey Juan Carlos Mostoles 28933 Spain Technol Natl Mexico CENIDET Cuernavaca Morelos Mexico Univ Guadalajara Ameca 46600 Jal Mexico

This paper presents a different finite control set - model predictive control (FCS-MPC) for grid-connected three-phase bidirectional power inverters. These are typically used in dc or ac renewable-based microgrids (MGs), where bidirectional operation and fast dynamic response is required. The bidirectional grid-connected inverters are an essential part of MG, which inject energy into the ac grid or demand energy from it. The dynamic behavior of the system is a major concern since the current can suddenly change depending on the hierarchical controller. This paper proposes a different cost function using sliding mode theory, which offers a good dynamic response, reduced computational burden, and a parameter-free control model. The operation principle of the proposed controller is given and evaluated using a Hardware-In-the-Loop (HIL) system, but also experimentally with a 1kW laboratory prototype. The final results demonstrate the advantages of using this approach in grid-connected three-phase bidirectional power inverters in terms of dynamic response and reduced computational burden, making this solution technically attractive and viable.

关键词： Inverters Cost function Switches predictive models predictive control control systems Load flow Bidirectional power finite control set model predictive control inverter microgrid sliding mode

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An Energy Management Method for Hybrid Energy Storage System of Aircraft Based on Dual-layer finite-control-set model predictive control

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IFAC-PapersOnLine 2024年第29期58卷 31-36页

作者： Xiang Li Jingyi Gao Rui Peng Zhixuan Huang Huiliu Zhang Po Li School of Aerospace Engineering Xiamen University Xiamen 361102 China

Hybrid energy storage system (HESS) refers to a new type of energy storage technology that combines two or more energy storage devices to achieve complementary advantages. In this paper, a realtime energy management strategy (EMS) based on dual-layer finite control set model predictive control (FCS-MPC) is proposed with the aim of improving the energy performance and reliability of the battery/supercapacitor HESS for electric aircraft. The upper layer supervisor aims to realize rational energy allocation with the cost function considering the battery current rate and supercapacitor voltage constraints and generates the battery current command of the lower layer FCS-MPC controller in real time. Besides, the lower layer achieves the real-time tracking of battery current based on FCS-MPC. In order to verify the effectiveness of the proposed method, the HESS mathematical model is constructed and the studied EMS is simulated in this paper. Furthermore, the proposed EMS is compared with the rule-based EMS, which shows that the proposed dual-layer EMS can significantly improve the battery and supercapacitor performance of the HESS, which is an effective method for HESS of electric aircraft.

关键词： Hybrid energy storage system Energy management strategy Electric aircraft finite control set model predictive control Battery/supercapacitor

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Constant switching frequency finite control set model predictive control applied to the boost converter of a photovoltaic system

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SOLAR ENERGY 2019年 189卷 57-66页

作者： Cunha, R. B. A. Inomoto, R. S. Altuna, J. A. T. Costa, F. F. Di Santo, S. G. Sguarezi Filho, A. J. Univ Sao Paulo Ave Prof Luciano GualbertoTravessa 3158 Sao Paulo SP Brazil Fed Univ ABC Ave Estados 5001 Santo Andre SP Brazil Univ Fed Bahia Rua Aristides Novis 02 Salvador BA Brazil

This paper proposes a constant switching frequency finite control set model predictive control applied to the boost converter of a photovoltaic system. The controller consists of two control loops: the outer voltage control loop employs the voltage reference generated by the MPPT and the system model to calculate the inductor predicted current reference for the converter, in order to minimize the error in the voltage at the terminals of the panel. The inner current control loop minimizes the current error to obtain a cost function calculated from the current variation rates in the inductor for the two possible states of the switch. The resulting equation gives the converter's duty cycle, thus ensuring constant switching frequency. The obtained results are compared with a two-pole two-zero controller using an experimental setup presenting a reduction in the settling time, steady-state error and overshoot, attesting the controller performance.

关键词： finite control set model predictive control Boost converter Photovoltaic systems Constant switching frequency

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Speed control of PMSM with finite control set model predictive control Using General-purpose Computing on GPU

Speed Control of PMSM with Finite Control Set Model Predicti...

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作者： Kozubík, Michal Brno University of Technology

In this article, novel approach in implementing finite control set predictive control is introduced. Algorithm is implemented using general-purpose computing on graphics processing unit. Predictions are computed using parallel threads on the GPU. Optimal switching state is then selected in dependence on the cost function given by angular speed error and constraints on the current. The algorithm is tested in the PIL simulation using Simulink and Jetson Nano. The ability of the algorithm to ensure the reference tracking and keeping the current within its limits are discussed.

关键词： finite control set model predictive control permanent magnet synchronous motor general-purpose computing graphics processing unit

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finite-control-set model predictive control of interleaved DC-DC boost converter Based on Kalman observer

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ETRANSPORTATION 2022年 11卷

作者： Tan, Bo Li, Haiyan Zhao, Dongdong Liang, Zehua Ma, Rui Huangfu, Yigeng Xian Technol Univ Sch Elect Informat Engn Xian Peoples R China Northwestern Polytech Univ Sch Automat Xian Peoples R China

A finite control set model predictive control (FCS-MPC) method combining with a Kalman observer is proposed to control an interleaved DC-DC boost converter. The optimal switching control signals are obtained by the FCS-MPC to keep the minimal inductor current error with the advantage of fast calculation. The time delay from sampling is compensated in FCS-MPC. And a Kalman observer is designed to obtain the load variation for model correction, which can diminish the disturbance. Moreover, it can estimate the voltage error and its integration, which is used to dynamically compensate the current reference calculated from power balance equation. In this way, the robustness of the FCS-MPC can be improve. The proposed control method is validated both by simulation and experiment. The results show that compared with PI and ST controllers, the robustness of the proposed approach is improved both in load and input voltage changes. (c) 2022 Elsevier B.V. All rights reserved.

关键词： finite control set model predictive control Kalman observer Interleaved DC-DC boost Converter

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Improved finite control set model predictive control for Permanent Magnet Synchronous Motor Drives 38

Improved Finite Control Set Model Predictive Control for Per...

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38th Chinese control Conference (CCC)

作者： Zhang, Wentao Yang, Weilin Yan, Wenxu Xu, Dezhi Jiangnan Univ Sch IoT Engn 1800 Lihu Rd Wuxi 214122 Jiangsu Peoples R China

ISBN: (纸本)9789881563972

finite control set model predictive control (FCS-MPC) has attracted much attention in the recent years due to its capability of handling system constraints and dealing with multivariables. The strategy of model predictive control mainly relies on the receding horizon paradigm and the optimization of a cost function. The traditional FCS-MPC approach selects an optimal voltage vector through the traversing method, which need to predict the system performance under for all the basic voltage vectors. Obviously, employing the traversing method in FCS-MPC results in heavy computational burden and thus restricts its practical implementations. In this paper, we consider FCS-MPC of permanent magnet synchronous motors (PMSMs). A novel FCS-MPC approach is proposed using the sector partitioning method. By directly determining the sector where the desired voltage vector locates, the proposed method apparently reduces the computations required for real-time implementations. Simulations yield that the proposed approach renders satisfying control performance of PMSMs within a wide speed range.

关键词： finite control set model predictive control permanent magnet synchronous motors sector partition

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Low-Switching-Loss finite control set model predictive Current control for IMs Considering Rotor-Related Inductance Mismatch

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IEEE ACCESS 2020年 8卷 108928-108941页

作者： Wang, Tan Hu, Yihua Wu, Zuyu Ni, Kai Tang Shan Ying Tong Technol Co Tangshan 063103 Peoples R China Univ York Dept Elect Engn York YO10 5DD N Yorkshire England Huazhong Univ Sci & Technol Sch Elect & Elect Engn Wuhan 430074 Peoples R China

This paper develops a high-performance finite control set model predictive current control (FCS-MPCC) method for induction motors (IM) to ensure the system control performance over the low-switching-frequency (LSF) range, where the switching loss is low. The new controller is based on tripartite calculations in each control period and sliding mode (SM) rotor-related inductance observer. In detail, firstly, to solve the problem that the control performance of the traditional FCS-MPCC methods is low when they are used at low frequencies, tripartite calculations are employed in each control period to improve the prediction accuracy. By dividing one control period into three equal parts and executing the prediction algorithm in each subsection, the current estimation errors become lower compared to the conventional single-step Euler-discretization controller. Then, considering that the performance of an FCS-MPCC controller highly relies on the machine parameter values, but it is hard to directly obtain the accurate rotor-related inductances (mutual inductance and rotor inductance), this paper uses an online parameter observer based on the sliding mode (SM) principle to diagnose them in real time. It needs to be mentioned that when discussing the stability of the sigmoid-function-based SM observer, a new technique called estimation-error-limitation is initially adopted in this paper to simplify the analysis process. Finally, the proposed algorithms are verified by simulation, which is conducted on a three-phase IM at LSF situations.

关键词： Rotors control systems Inductance Observers Switching loss predictive models Switching frequency Induction motor finite control set model predictive control sliding mode observer parameter mismatch low switching frequency

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Adaptive finite control set model predictive control Scheme for Single-phase Inverters with LCL Filter

Adaptive Finite Control Set Model Predictive Control Scheme ...

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第三十九届中国控制会议

作者： Po Li Zihan Song Haodong Zhang Wentao Jin Department of Instrumental and Electrical Engineering School of Aerospace Engineering Xiamen University

Grid-connected inverter, as one of the core components of power system, plays an important role in renewable energy generation. Many control methods for inverters are widely studied. Among them, finite control set model predictive control（FCS MPC） has many advantages, such as fast transient response, simple implementation and convenience to consider nonlinear and constraints. However, FCS MPC also has some shortcomings, one of which is that the performance of predictive algorithm is easily affected by the system model. The performance of the traditional FCS MPC algorithm is susceptible to model errors and parameter variations. To solve this problem, an adaptive FCS MPC algorithm is designed in this paper. The single-phase inverter with LCL filter is selected as the control plant. Since the use of sensors will increase the cost of system, how to reduce the number of sensors is also researched. The traditional FCS MPC and proposed adaptive FCS MPC algorithm with fewer sensors are simulated respectively. The effectiveness of proposed method is confirmed by the results.

关键词： finite control set model predictive control LCL filter Inverters Adaptive control

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