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Design and implementation of finite control set mpc with an LCL filter for grid-tied PMSG based wind turbine

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2023年 152卷

作者： Prince, M. K. K. Arif, M. T. Haque, M. E. Gargoom, A. Oo, A. M. T. Deakin Univ Ctr Smart Power & Energy Res CSPER Renewable Energy & Elect Vehicle REEV Lab Waurn ponds Vic 3216 Australia Macquarie Univ Sch Engn Sydney Australia

This paper presents a grid-connected wind energy conversion system (WECS) that leverages the benefits of a permanent magnet synchronous generator and a finite control set model predictive control (FCS mpc) strategy. Despite the advantages offered by FCS mpc, challenges such as fluctuations in switching frequency, steady-state errors, high computational demands, and limited prediction horizons still persist. To address the switching frequency issue, the study introduces an approach incorporating the switching control action within the cost function while preserving the finite character of FCS mpc. The weight factors for switching control are optimized to reduce the switching frequency fluctuations while addressing other control objectives, such as regulating the DC-link voltage and controlling the flow of active and reactive power. The grid currents on the d and q axes are controlled to limit the amount of active and reactive electricity entering the grid. The proposed system also includes a modified third-order LCL filter, which is optimized by the predictive controller's regulation of switching frequency, reducing design complexities and ensuring effective performance. A simulation of the proposed WECS with FCS mpc and a modified LCL filter has been performed using the MATLAB/Simulink environment. The dSpace DS1202 controller has been used to create an experimental setup suitable for a lab setting. The simulation and experimental findings confirm the controller and filter's effectiveness under dynamic and steady-state operating circumstances. This research provides a promising solution for future wind energy conversion systems, advancing the field and establishing a foundation for further exploration.

关键词： PMSG Wind finite control set mpc Weight factor Switching frequency LCL filter

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A Comparison of finite control set and Continuous control set Model Predictive control Schemes for Speed control of Induction Motors

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IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2018年第4期14卷 1334-1346页

作者： Ahmed, Abdelsalam A. Koh, Byung Kwon Lee, Young Il Tanta Univ Fac Engn Dept Elect Power & Machines Engn Tanta 31511 Egypt SeoulTech Dept Elect & Informat Engn Seoul 01811 South Korea

This paper presents a comparative study of two predictive speed control schemes for induction machine (IM) in terms of their design and performance. The first control scheme is finite control set-model predictive control (FCS-mpc) with modulation control and the second control scheme is continuous control set-model predictive control (CCS-mpc) with space vector-pulse width modulation. The two schemes adopt the cascaded control approach, which consists of an inner mpc loop for torque control and outer mpc loop for speed control using two individual cost functions. The outer mpc produces the required torque to drive the IM at the reference speed while the reference torque is taken as the input of the inner mpc, which in turn generates control signals for the inverter. The control states of the two mpcs are constrained with the maximum limits of the drive system. The state feedback is achieved with a standard Kalman filter, which estimates the nonmeasured load torque. For a fair comparison, both approaches are applied to the same IM at the same operational circumstances. The control approaches are implemented and validated in an experimental environment using the same sampling frequency on the same test bench (3.7 kW IM drive). The behavior of the control approaches is assessed by applying reference and disturbance steps to the system in different operational modes. Comparison of the predictive schemes leads to the conclusion that the both mpc approaches achieve similar performances. However, the CCS-mpc scheme has a smaller current ripple and is of low computational complexity. The computing duration is not very different for the three tested schemes. CCS-mpc can cope with a less powerful DSP than for FCS.

关键词： Continuous control set-model predictive control (CCS-mpc) field weakening control finite control set mpc induction motors Kalman filter (KF) estimator speed control torque constraint

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Model predictive control with improved discrete space vector modulation for three-level Vienna rectifier

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IET POWER ELECTRONICS 2019年第8期12卷 1998-2004页

作者： Zhu, Wenjie Chen, Changsong Duan, Shanxu Huazhong Univ Sci & Technol Sch Elect & Elect Engn State Key Lab Adv Electromagnet Engn & Technol Luoyu Rd 1037 Wuhan Hubei Peoples R China

This article proposes a model predictive control (mpc) with the discrete space vector modulation (DSVM) to reduce input current ripple of three-level Vienna rectifier. The finite control set mpc (FCS-mpc) applied in power converters has variable switching frequency and needs high sampling frequency for better input current quality. With the proposed approach, more feasible vectors can be used to improve the input current's performance with the DSVM using the virtual vectors. The DSVM-mpc features fixed switching frequency and should implement large numbers of virtual vectors with the calculation burden. The improved DSVM-mpc is proposed to optimise the mpc algorithm by selecting the adjacent feasible vectors according to the reference voltage vector trajectory. The effectiveness of the proposed method is verified by the experimental results in a Vienna rectifier platform, which shows that the proposed method possesses better input current performance compared with the FCS-mpc method.

关键词： PWM rectifiers power convertors machine control rectifiers torque control predictive control PWM power convertors virtual vectors improved DSVM-mpc mpc algorithm adjacent feasible vectors reference voltage vector trajectory Vienna rectifier platform input current performance FCS-mpc method model predictive control improved discrete space vector modulation three-level Vienna rectifier input current ripple finite control set mpc power converters variable switching frequency high sampling frequency input current quality DSVM-mpc features

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Composite adaptive model predictive control for DC-DC boost converters

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IET POWER ELECTRONICS 2018年第10期11卷 1706-1717页

作者： Li Po Li Ruiyu Shao Tianying Zhang Jingrui Fang Zheng Xiamen Univ Dept Instrumental Elect Engn Sch Aerosp Engn Xiamen Peoples R China Xiamen Univ Shenzhen Res Inst Shenzhen Peoples R China

A composite adaptive model predictive control (mpc) scheme is proposed to mitigate model mismatches due to parameter uncertainties and disturbances in controller designs for DC-DC boost converters. First, a model-based feedforward compensator based on a cascade proportional-integral (PI) mpc controller was developed as a current reference to improve the dynamic response performance. Then, an observer was employed to construct an accurate model and thereby avoid overcompensation and poor prediction due to model mismatch. Finally, a finite control set mpc was implemented to select a suitable switching state with which to realise output voltage regulation. Compared with a traditional PI mpc, the proposed controller has a rapid dynamic response, and compared with an unknown offset free mpc, the proposed controller is well suited to a simplified model. The proposed methods and benefits were validated by simulations in MATLAB/Simulink and by experiments on an NI Compact RIO rapid control prototype test bench.

关键词： Optimal control dynamic response performance control of electric power systems current reference feedback observer predictive control PI control cascade proportional-integral mpc controller cascade control controller designs NI compact RIO rapid control prototype test bench switching systems (control) control system analysis and synthesis methods finite control set mpc DC–DC boost converters PI mpc controller switching state parameter uncertainties DC-DC power convertors observers DC-DC boost converters Matlab-Simulink Voltage control composite adaptive model predictive control scheme control system synthesis model-based feedforward compensator dynamic response adaptive control Simulation, modelling and identification output voltage regulation Self-adjusting control systems Time-varying control systems model mismatch mitigation voltage control

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Computationally efficient direct predictive speed control of PMSMs fed by three-level NPC convertors with guaranteed stability

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JOURNAL OF POWER ELECTRONICS 2022年第7期22卷 1131-1141页

作者： Saberi, Sajad Rezaie, Behrooz Babol Noshirvani Univ Technol Fac Elect & Comp Engn Babol Iran

Direct predictive speed control (DPSC) using a finite control set mpc (FCS-mpc) is a popular control method for multi-level converters. In FCS-mpc-based designs, there are two key issues. First, when the number of switching states increases, the computational burden dramatically increases, which makes real-time implementation impractical when compared to traditional modulation methods such as field-oriented control (FOC). The issue of stability is another key concern with DPSC. In the present study, the speed of a permanent magnet synchronous motor (PMSM) fed by a three-level neutral-point clamped (3L-NPC) convertor is controlled using a computationally efficient DPSC technique with hexagon candidate region (HCR). Back-stepping is also used in the proposed method to generate the q-axis current reference and continuous d-q axis control voltage for the DPSC to guarantee the stability of the closed loop system using the Lyapunov stability theorem. Furthermore, in HCR, the continuous control law checks the voltage vectors while only passing the vectors that do not jeopardize the stability of the system. As a result, stability is taken into account and also the number of voltage candidates for FCS-mpc decreases significantly. This in turn leads to reductions in the computational burden. The system is simulated in MATLAB/Simulink to validate the efficiency of the proposed method.

关键词： Permanent magnet synchronous motor finite control set mpc Direct predictive speed control Back-stepping control

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finite control set Model Predictive Torque control of Induction Motors using a Neutral Point Clamped Three-Level Inverter with Computational load Reduction

Finite Control Set Model Predictive Torque Control of Induct...

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9th IFAC Symposium on control of Power and Energy Systems (CPES 2015)

作者： Park, Hyo Sung Koh, Byung Kwon Lee, Young Il Seoul Natl Univ Sci & Technol Dept Elect Engn & Informat Technol Seoul South Korea

In this paper, a FCS-mpc strategy for the torque control of 3 phase induction motors using a NPC type 3-level inverter is proposed. It derives a reference state for the given torque reference. Use of a performance index penalizing tracking error for the reference state. Here we propose to confine the evaluation of the performance index to 3 voltage vectors of the 3-level inverter considering the fact that the dynamics of the electrical system is far faster than that of mechanical system. Thus the computational load is not increased compared to earlier FCS-mpc methods based on 2-level inverters. An effective method to maintain the balance of dc capacitors is also proposed. The efficacy of the proposed method is proved simulations.

关键词： Three-level Inverter Induction Motors Torque control finite control set mpc Computational load reduction

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Predictive control of Converter Switches in a Multi-Terminal HVDC system

Predictive Control of Converter Switches in a Multi-Terminal...

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39th Annual Conference of the IEEE Industrial-Electronics-Society (IECON)

作者： Vatani, Mohsen Hovd, Morten Norwegian Univ Sci & Technol Dept Engn Cybernet N-7034 Trondheim Norway

ISBN: (纸本)9781479902248

In this paper, the finite control set Model Predictive control (FSC-mpc) is used to control the multi-level neutral point clamped converter of each station in a four-terminal VSC-based Multi-Terminal HVDC system (MTDC). Three stations of MTDC are controlled to track desired reference power and one station is controlled to keep the DC side voltage in the desired value. The FCS-mpc controller is designed to keep a tradeoff between current tracking error, switching frequency and capacitor voltage balancing. The measurement and computation delay is considered by applying two steps ahead prediction in control algorithm. The validity of the proposed controller is confirmed by simulations.

关键词： Multi-terminal HVDC finite control set mpc Neutral point clamped converters optimization

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A finite control set model predictive direct torque control for the PMSM with MTPA operation and torque ripple minimization

A finite control set model predictive direct torque control ...

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IEEE International Electric Machines and Drives Conference, IEMDC 2015

作者： Liu, Qian Hameyer, Kay Institute of Electrical Machines RWTH Aachen University Germany

ISBN: (纸本)9781479979417

In this paper, a Lyaupnov based finite control set model predictive direct torque control for the permanent magnet synchronous machine (PMSM) is proposed. In the proposed control scheme, the finite control set prediction and the Lyapunov theory are combined to minimize the torque ripple. The 8 voltage vectors of the 2-level converter are utilized as a finite control set for the torque prediction of the PMSM. A cost function considering the torque error, the Maximum Torque per Ampere (MTPA) operation and the current limitation is introduced. Comparing to the conventional finite control set predictive control, the dominant part of the cost function is utilized as a Lyapunov function to estimate the duty cycle of each voltage vector. An optimum voltage can be obtained by the optimum voltage vector from the 8 vectors and their duty cycles. A small sampling frequency and a fixed switching frequency can be realized when compared to the conventional finite set model predictive control. In the end, the simulation and experimental results validate the performance of the proposed control scheme. © 2015 IEEE.

关键词： Current ripple direct torque control finite control set mpc fixed switching frequency Lyapunov based duty cycle MTPA PMSM torque ripple

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finite control set Model Predictive Torque control of Induction Motors using a Neutral Point Clamped Three-Level Inverter with Computational load Reduction *

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IFAC-PapersOnLine 2015年第30期48卷 321-326页

作者： Hyo Sung Park Byung Kwon Koh Young Il Lee Dept. of Electrical Engineering & Information Technology Seoul National University of Science & Technology Seoul

关键词： Three-level Inverter Induction Motors Torque control finite control set mpc Computational load reduction

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Predictive control of Converter Switches in a Multi-Terminal HVDC system

Predictive Control of Converter Switches in a Multi-Terminal...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Mohsen Vatani Morten Hovd Department of Engineering Cybernetics Norwegian University of Science and Technology

ISBN: (纸本)9781479902255

关键词： Multi-terminal HVDC finite control set mpc Neutral point clamped converters Optimization HVDC SYSTEMS Predictive control multiterminal Converters STATIONS Computer algorithms tradeoffs DC side Switches

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