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24th IEEE International Symposium on Industrial Electronics (ISIE)

作者： Rivera, M. Univ Talca Dept Ind Technol Curico Chile

ISBN: (纸本)9781467375542

In this paper a predictive control technique for an indirect matrix converter is proposed. The control strategy allows to impose a sinusoidal waveform in both the input and output current of the converter without any weighting factor in the controller and, at the same time, the operation at fixed switching frequency. Simulation results validate the proposal under both steady and transient states which are also compared with the predictive current control strategy with minimization of the reactive input power.

关键词： current control matrix converters predictive control finite control set model predictive control

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Indirect model predictive control with Imposed Sinusoidal Source Currents for a Direct Matrix Converter Working at Fixed Switching Frequency

Indirect Model Predictive Control with Imposed Sinusoidal So...

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IEEE Southern Power Electronics Conference (SPEC)

作者： Rivera, M. Tarisciotti, L. Wheeler, P. Univ Talca Fac Engn Curico Chile Univ Nottingham Dept Elect & Elect Engn Nottingham England

ISBN: (纸本)9781509064267;9781509064250

In this paper a simple indirect model predictive current control strategy is proposed for the control of both input and output currents in a direct matrix converter. This simplified strategy reduces the computational cost while avoiding the use of weighting factors. The method is based on the fictitious dc-link concept, which has been used in the past for the classical modulation and control techniques of this converter. The proposal is enhanced with a fixed switching predictive strategy in order to improve the performance of the full system. Simulated results confirm the feasibility of the proposal demonstrating that it is an alternative to classical predictive control strategies.

关键词： current control matrix converters predictive control finite control set model predictive control fictitious dc-link

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Long-Horizon Direct model predictive control Based on Neural Networks for Electrical Drives 46

Long-Horizon Direct Model Predictive Control Based on Neural...

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46th Annual Conference of the IEEE-Industrial-Electronics-Society (IECON)

作者： Hammoud, Issa Hentzelt, Sebastian Oehlschlaegel, Thimo Kennel, Ralph Tech Univ Munich TUM Inst Elect Dr Syst & Power Elect Munich Germany IAV GmbH Powertrain Mechatron Control Engn Excellence Clus Gifhorn Germany

ISBN: (纸本)9781728154145

In this work, the use of a multilayer perceptron feedforward neural network is proposed to capture the solution of the long-horizon finite control set model predictive control (FCS-MPC) problem in electrical drive systems. The motivation behind this research is based on treating the direct model predictive control problem of a power converter as a multi-class classification problem as it consists of a finite set of switching states, which can be seen as a finite number of different classes. By simulation results and hardware in the loop (HIL) test, it is proved that the solution of the long-horizon FCS-MPC can be captured by a real-time computationally implementable neural network that recognizes the converter switching states with an accuracy of 85 - 90%. Hence, it captures the performance enhancement of long horizon FCS-MPC in a computationally efficient manner (15.84 mu s).

关键词： Long horizon direct model predictive control finite control set model predictive control pattern recognition multi-class classification power converters electrical drives

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Flexible Test Bench Arrangement and Particular Implementation of Three Level IGBT Based VSI for Self-sensing model predictive control of Induction Motor 21

Flexible Test Bench Arrangement and Particular Implementatio...

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21st IEEE Workshop on control and modeling for Power Electronics (COMPEL)

作者： Soliman, Ahmed Ibrahim Vedadi, Mohammad Kahia, Billel Abdelrahem, Mohamed Kennel, Ralph Chair Elect Drive Syst & Power Elect Dept Elect & Comp Engn Munich Germany

ISBN: (数字)9781728171609

ISBN: (纸本)9781728171616

In this paper, the main parts of test bench for a self-sensing model predictive control (MPC) technique for an induction motor (IM) operated with IGBT-based three level neutral point clamped voltage source inverters (3L-NPC-VSI) are introduced and discussed. The essential aspects, software and hardware components are discussed, and the crucial required design issues, calculations, layouts, and manufacturing process are illustrated. The MPC algorithm is based on the finite control set (FCS) of the 3L-NPC-VSI, the self-sensing mechanism is based, from one side, on the Extended Kalman Filter (EKF) nonlinear adaptive observer for speed estimation and from other side on the linkage flux estimation for stator flux and motor torque. Transient dynamic behavior of the Motor under different load conditions will be presented and evaluated.

关键词： Induction Motor finite control set model predictive control Direct Torque control 3L-NPC Voltage Source Inverter Extended Kalman Filter Hardware components Bootstrap capacitors signal conditioning Current and voltage measurements Self-sensing

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Shortest horizon FCS-MPC output voltage tracking in non-minimum phase boost-type converters 45

Shortest horizon FCS-MPC output voltage tracking in non-mini...

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45th Annual Conference of the IEEE Industrial Electronics Society (IECON)

作者： Villarroel, Felipe Espinoza, Jose Perez, Marcelo Ramirez, Roberto Baier, Crlos Moran, Luis Univ Concepcion Dept Ingn Elect 160-C Concepcion Chile Univ Tecn Federico Santa Maria Dept Elect 110-V Valparaiso Chile Univ Talca Dept Ingn Elect 747-C Curico Chile

ISBN: (纸本)9781728148786

finite control set model predictive control is an emerging alternative for the control of power converters. Its main advantages are its conceptual simplicity, fast control response, flexibility and direct consideration of non linearities as well as constraints. Due to computational constraints, short prediction horizons are usually desired in power converters. However, control issues may appear when applied in topologies that exhibit non-minimum phase behavior such as active front end rectifiers and boost dc-dc converters. This work proposes the use of the concept of statically equivalent outputs in order to control these systems with the shortest prediction horizon. The proposed predictive controller partially inverts the plant dynamics, determining an auxiliary output by means of nonlinear control tools. Theoretical and simulated results show the feasibility of the proposal.

关键词： non minimum phase finite control set model predictive control boost converter

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model predictive control for Six-Phase Induction Machines with Insight into Past Current Errors

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APPLIED SCIENCES-BASEL 2024年第24期14卷 11684页

作者： Carrillo-Rios, Juan Gonzalez-Prieto, Ignacio Gonzalez-Prieto, Angel Duran, Mario J. Aciego, Juan Jose Univ Malaga Escuela Ingn Ind Dept Ingn Electr Malaga 29010 Spain Univ Politecn Madrid Escuela Tecn Super Ingn Ind Dept Ingn Electr Madrid 28040 Spain

Multi-phase electric drives can act as a competitive solution for high-power applications. To take advantage of the multi-phase benefits, the design of high-performance control techniques is a crucial task. In this regard, the inherent features of model predictive control (MPC) have aroused the interest of the scientific community in the last decade. This control solution, based on the usage of a cost function, provides notable flexibility to the control designer to select diverse regulation goals. Although the use of some weighting factors is a common trend to prioritize control purposes, the internal behavior of each term of the cost function is commonly ignored since the cost function is only focused on minimizing the total error. With this issue in mind, this work firstly performs a detailed analysis about the behavior of each cost function term in a standard MPC. The mentioned study permits identifying a certain pattern of the internal mechanics of the cost function that can disturb the current quality. To solve this limitation, the cost function of the MPC scheme is redefined. The proposed strategy permits improving current quality without increasing the number of switching states applied per control period, as it is validated with experimental results in six-phase electric drives.

关键词： accumulation of current errors cost function finite control set model predictive control multi-phase electric drives

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FPGA-Based Cost-Effective and Resource Optimized Solution of predictive Direct Current control for Power Converters

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ENERGIES 2021年第22期14卷 7669页

作者： Sankar, Deepa Syamala, Lakshmi Ayyappan, Babu Chembathu Kallarackal, Mathew Cochin Univ Sci & Technol Div Elect Engn Ernakulam 682022 India Mar Athanasius Coll Engn Dept Elect & Commun Engn Kothamangalam 686666 India

Recent advances in power converter applications with highly demanding control goals require the efficient implementation of superior control strategies. However, the real-time application of such control strategies demands high computational power that necessitates efficient digital controllers like field programmable gate array (FPGA). The inherent parallelism offered by FPGAs minimizes the execution time and exhibits an excellent cost-performance trade-off. In addition, rapid advancements in FPGA technology with a broad portfolio of intellectual property (IP) cores, design tools, and robust embedded processors resulted in a design paradigm shift. This article proposes a low-cost solution for the resource-optimized implementation of dynamic, highly accurate, and computationally intensive finite state-predictive direct current control (FS-PDCC). The challenges for implementing complex control algorithms for power converters are discussed in detail, and the control is implemented in Intel's low-cost non-volatile FPGA-MAX (R) 10. An efficient design methodology using finite state machine (FSM) is adopted to achieve time/resource-efficient implementation. The parallel and pipelined architecture of FPGA provides better resource utilization with high execution speed. The experimental results prove the efficiency of FPGA-based cost-effective solutions that offer superior performance with better output quality.

关键词： field programmable gate array intellectual property core finite control set model predictive control finite state machine resource optimization voltage source inverter analog to digital converter

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An FCS-MPC Strategy for Series APF Based on Deadbeat Direct Compensation

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ENERGIES 2023年第5期16卷 2507-2507页

作者： Wang, Guifeng Gao, Xujie Li, Chunjie Jiangsu Normal Univ Sch Elect Engn & Automat Xuzhou 221008 Peoples R China

Aiming at the delay caused by the phase-locked loop (PLL) and harmonic detection in the traditional control of a series active power filter (SAPF), a deadbeat direct control (DBDC)-based finite control set model predictive control (FCS-MPC) strategy for the SAPF is proposed in this work. Firstly, a reference voltage generation mechanism based on direct control is established, which avoids the delay in harmonic detection, thus improving the dynamic response performance of the system. Secondly, the reference current generation mechanism suitable for the SAPF is derived and established using the deadbeat control (DBC) in the alpha beta coordinate system, based on which the FCS-MPC system is constructed. It eliminates the complex coordinate transformation and PLL and effectively compensates for the full-frequency harmonic voltage. Finally, the proposed control strategy is verified by a simulation and an experiment. The results suggest that the proposed control strategy can effectively compensate for the load voltage and suppress harmonic distortion for the temporary swell and sag of the grid voltage, sudden load changes, and harmonic distortion conditions.

关键词： series active power filter direct control deadbeat control finite control set model predictive control harmonic distortion

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model predictive control algorithm for fault ride-through of stand-alone microgrid inverter

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2022年 135卷 107485-107485页

作者： Aboelsaud, Raef Ibrahim, Ahmed Aleksandrov, Ivan, V Ali, Ziad M. Zagazig Univ Dept Elect Power & Machines Engn Zagazig 44519 Egypt Tomsk State Univ Inst Appl Math & Comp Sci Tomsk Russia Natl Res Tomsk Polytech Univ Tomsk 634050 Russia Novosibirsk State Tech Univ Dept Radio Engn & Elect Novosibirsk 630073 Russia Prince Sattam Bin Abdulaziz Univ Coll Engn Wadi Addawaser Wadi Addawaser 11991 Saudi Arabia Aswan Univ Elect Engn Dept Fac Engn Aswan 81542 Egypt

With high penetration of power inverters in microgrids, the Fault Ride-Through (FRT) strategy is of great importance for the inverter operation. However, the finite control set model predictive control is considered as a powerful control for power electronic devices and inverters. This control technique has not been applied for handling the FRT of stand-alone inverters. Therefore, this paper proposes a new control algorithm based on finite control set model predictive control to control the stand-alone inverter in normal modes and to ride-through the fault without any deterioration. The proposed algorithm considers the following aspects: high-speed fault detection, limiting fault current, power quality during the fault, and soft recovery to normal mode at the fault clearance. These aspects require additional calculations in the control algorithm, resulting in higher computation time and delay. In this paper, the delay is compensated using the two-step prediction horizon principle. Moreover, the algorithm is optimized by removing repeated computations and by separating the fault mode algorithm from the basic algorithm. Simulation and experimental studies are carried out to validate the performance of the proposed FCS-MPC algorithm under symmetrical and asymmetrical faults. The results reveal the high effectiveness of the proposed algorithm to improve the FRT capability of the inverter.

关键词： Four-leg inverter Fault ride-through Fault current limiter finite control set model predictive control

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A Simplified model predictive control for T-Type Inverter with Output LC Filter

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ENERGIES 2019年第1期12卷 31页

作者： Van-Quang-Binh Ngo Minh-Khai Nguyen Tan-Tai Tran Lim, Young-Cheol Choi, Joon-Ho Chonnam Natl Univ Dept Elect Engn Gwangju 500757 South Korea Hue Univ Coll Educ Dept Phys Thua Thien Hue 530000 Vietnam Chosun Univ Dept Elect Engn Gwangju 61452 South Korea

In this paper, a model predictive control scheme for the T-type inverter with an output LC filter is presented. A simplified dynamics model is proposed to reduce the number of the measurement and control variables, resulting in a decrease in the cost and complexity of the system. Furthermore, the main contribution of the paper is the approach to evaluate the cost function. By employing the selection of sector information distribution in the reference inverter voltage and capacitor voltage balancing, the execution time of the proposed algorithm is significantly reduced by 36% compared with conventional model predictive control without too much impact on control performance. Simulation and experimental results are studied and compared with conventional finite control set model predictive control to validate the effectiveness of the proposed method.

关键词： finite control set model predictive control T-type inverter computational cost LC filter DC-link capacitor voltage balancing

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