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8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016)

作者： D.F.F. Ferreira S.M.A. Cruz A.M.S. Mendes Universidade de Coimbra Coimbra Coimbra PT

ISBN: (纸本)9781510825666

This paper presents the power converters topology and the corresponding control systems of a three-phase regenerative grid simulator. The proposed system consists in three identical single-phase units, each one consisting in two H-bridge power converters sharing a common dc-bus. The mathematical model of the two converters is developed and based on them, a finite control set model predictive control strategy was developed for the grid simulator. Simulation results demonstrate the very good dynamic performance of the developed grid simulator under all operating conditions and for all types of loads, as well as the adequacy of predictive control algorithms for the application in question.

关键词： Regenerative grid simulator finite control set model predictive control Harmonic voltage control Voltage dips voltage sags predictive control control set simulator control systems model predictive control grids Grid Computer algorithms Regenerative power conversion unit dynamic characteristics simulating

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

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

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第三十八届中国控制会议

作者： Wentao Zhang Weilin Yang Wenxu Yan Dezhi Xu School of IoT Engineering Jiangnan University

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 realtime 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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finite control set model predictive Current control for PMSM based on Extended State Observer 14

Finite Control Set Model Predictive Current Control for PMSM...

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14th IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： He, Chun Hu, Jianhui Ran, Xiaohe Harbin Inst Technol Dept Elect Engn Harbin Peoples R China

ISBN: (纸本)9781538694909

Based on extended state observer (ESO), a robust finite control set model predictive control (FCS-MPC) strategy is proposed for permanent-magnet synchronous motor (PMSM) system. In order to reduce the influence of parametric uncertainties and unmodeled dynamics, an ESO is proposed to estimate the total disturbances in the system, and the estimated values are added to the FCS-MPC controller to compensate the prediction errors. The feasibility of the strategy is introduced in this paper and the simulation results illustrate that the proposed strategy possesses better steady-state performance under parameters mismatch.

关键词： wended state observer finite control set model predictive control parametric uncertainties permanent-magnet synchronous motor (PMSM)

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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 7

An Energy Management Method for Hybrid Energy Storage System...

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7th IFAC Conference on Engine and Powertrain control, Simulation and modeling (E-COSM)

作者： Li, Xiang Gao, Jingyi Peng, Rui Huang, Zhixuan Zhang, Huiliu Li, Po Xiamen Univ Sch Aerosp Engn Xiamen 361102 Peoples R 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 real-time 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. Copyright (c) 2024 The Authors.

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

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A finite control set model predictive Torque control for Switched Reluctance Motor Drives with Adaptive Turn-off Angle 45

A Finite Control Set Model Predictive Torque Control for Swi...

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

作者： Tarvirdilu-Asl, Rasul Nalakath, Shamsuddeen Bilgin, Berker Emadi, Ali MARC Hamilton ON Canada

ISBN: (纸本)9781728148786

This paper presents an online adaptive method to adjust the phase turn-off angle in finite control set model predictive control (FCS-MPC) of switched reluctance motor (SRM) drives to reduce the negative torque production. The current in the inductance falling region generates negative torque which increases the torque ripple, RMS current, and reduces the efficiency, especially at high speed operation. The existing FCS-MPC needs long prediction horizon to predict and reduce the negative torque production by adjusting the turn-off angle. However, long prediction horizon substantially increases the computational burden. This paper proposes a simple online method to automatically adjust the phase turn-off angle for single prediction horizon FCS-MPC. The proposed method is validated in simulations for a three phase, 12/8, 2.3 kW SRM in the entire operating region. The comparison with the existing MPC shows the effectiveness of the proposed method in terms of efficiency and torque ripple reduction.

关键词： commutation angles finite control set model predictive control switched reluctance motor torque ripple

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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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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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Online Adaptive Parameter Estimation of a finite control set model predictive controlled Hybrid Active Power Filter

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ENERGIES 2023年第9期16卷 3830页

作者： Ferreira, Silvia Costa Foster, Joao Gabriel Luppi Gonzatti, Robson Bauwelz Pereira, Rondineli Rodrigues Pinheiro, Guilherme Goncalves Guimaraes, Bruno P. Braga Univ Fed Lavras Automat Control Dept BR-37203202 Lavras Brazil Univ Fed Itajuba Inst Engn & Informat Technol IESTI BR-37500903 Itajuba Brazil

This paper presents a novel strategy for online parameter estimation in a hybrid active power filter (HAPF). This HAPF makes use of existing capacitor banks which it combines with an active power filter (APF) in order to dynamically compensate reactive power. The equipment is controlled with finite control set model predictive control (FCS-MPC) due to its already well-known fast dynamic response. The HAPF model is similar to a grid-connected LCL-filtered converter, so the direct control of the HAPF current can cause resonances and instabilities. To solve this, indirect control, using the capacitor voltage and the inverter-side current, is applied in the cost function, which creates high dependency between the system parameters and the equipment capability to compensate the load reactive power. This dependency is evaluated by simulations, in which the capacitor bank reactance is shown to be the most sensitive parameter, and, thus, responsible for inaccuracies in the FCS-MPC references. In order to minimize this problem without increasing the complexity of the FCS-MPC algorithm, an estimation technique, based on adaptive notch filters, is proposed. The proposed algorithm is tested in a laboratory prototype to demonstrate its ability to follow variations in the HAPF capacitor reactance, effectively correcting the reactive power reference and providing dynamic reactive power compensation. During the tests, the proposed algorithm was capable of keeping the supplied reactive power within a 1% error, even in a situation with 33% variation in the HAPF capacitor reactance.

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

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Torque predictive control Based on an Improved finite control set model of Switched Reluctance Motor 7

Torque Predictive Control Based on an Improved Finite Contro...

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7th International Conference on Automation, control and Robotics Engineering (CACRE)

作者： Liu, He Zhao, Yongsheng Fan, Yunsheng Liu, Jian Dalian Maritime Univ Coll Marine Elect Engn Dalian Peoples R China

ISBN: (数字)9781665403870

ISBN: (纸本)9781665403870

To improve the performance of control systems used with switched reluctance motors (SRMs), a sensorless finite control set model predictive control (FCS-MPC) strategy has been proposed in this paper. First, high-frequency pulse signals are injected into the non-conduction interval. Second, the inductance information associated with the non-conduction interval is obtained using the current slope method, and the rotor speed and position of the SRM are estimated accurately according to the obtained inductance information. Finally, the FCS-MPC control strategy is used to further reduce the torque ripple and copper loss. The simulation results show that the proposed sensorless control strategy can allow SRMs to run reliably and stably while achieving effective speed and torque control. In contrast to the traditional sensorless control strategy, the proposed method delivers better performance in torque ripple reduction and robustness.

关键词： Pulse injection method finite control set model predictive control sensorless control switched reluctance motor

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