Academic literature on the topic 'Finite control set model predictive control (FCS-MPC)'

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Journal articles on the topic "Finite control set model predictive control (FCS-MPC)"

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Zhang, Tao, Qiang Hao, Zheng Zheng, and Chuang Lu. "An Electric Spring Control Strategy Based on Finite Control Set-Model Predictive Control." Journal Européen des Systèmes Automatisés 53, no. 4 (2020): 461–68. http://dx.doi.org/10.18280/jesa.530403.

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As a novel voltage control device, electric spring (ES) can effectively suppress the voltage fluctuations across critical loads (CLs), and solve the various problems with electrical quality induced by the grid access of renewable energy resources (RES). However, the traditional controllers for the ES system can no longer meet the control requirements, as the environment is complicated by the growing number of load-side nonlinear loads and uncertain disturbances. To solve the problem, this paper proposes a control system based on finite control set-model predictive control (FCS-MPC), and applie
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Liu, Tao, Changliang Xia, Xin Gu, and Tingna Shi. "An Observer-Based Finite Control Set Model Predictive Control for Three-Phase Power Converters." Mathematical Problems in Engineering 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/351814.

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Finite control set model predictive control (FCS-MPC) for three-phase power converters uses a discrete mathematical model of the power converter to predict the future current value for all possible switching states. The circuit parameters and measured input currents are necessary components. For this reason, parameter error and time delay of current signals may degrade the performance of the control system. In the previous studies of the FCS-MPC, few articles study these aspects in detail and almost no method is proposed to avoid these negative influences. This paper, first, investigates the n
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Phan, Dzung Quoc, Tuyen Dinh Nguyen, and Nhat Minh Nguyen. "Finite control set model predictive control to balance DC-link capacitor voltage for TType NPC inverter of grid-connected photovoltaic systems." Science and Technology Development Journal 18, no. 3 (2015): 5–17. http://dx.doi.org/10.32508/stdj.v18i3.880.

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This paper proposes the Finite control set Model Predictive Control (FCS-MPC) with delay compensation for three-phase threelevel T-Type NPC inverter (T-Type NPC) of grid-connected photovoltaic systems (PV). The proposed FCS-MPC controls the objectives: current tracking control, DC-link capacitor voltage balance, the reduction of switching frequency to ensure issues of the power quality and improve the efficiency of grid-connected of PV system. The cost function of the proposed FCS-MPC uses the 27 possible switching states generated by TType NPC, the optimal switching state is selected in each
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Li, Po, Ruiyu Li, and Haifeng Feng. "Total Harmonic Distortion Oriented Finite Control Set Model Predictive Control for Single-Phase Inverters." Energies 11, no. 12 (2018): 3467. http://dx.doi.org/10.3390/en11123467.

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Inverters are commonly controlled to generate AC current and Total Harmonic Distortion (THD) is the core index in judging the control effect. In this paper, a THD oriented Finite Control Set Model Predictive Control (FCS MPC) scheme is proposed for the single-phase inverter, where a optimization problem is solved to obtain the switching law for realization. Different from the traditional cost function, which focuses on the instantaneous deviation of amplitude between predictive current and its reference, we redesign a cost function that is the linear combination of the current fundamental trac
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Gonçalves, Pedro, Sérgio Cruz, and André Mendes. "Finite Control Set Model Predictive Control of Six-Phase Asymmetrical Machines—An Overview." Energies 12, no. 24 (2019): 4693. http://dx.doi.org/10.3390/en12244693.

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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 m
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Katkout, Abdiddaim, Tamou Nasser, and Ahmed Essadki. "Robust Multiobjective Model Predictive Control with Computation Delay Compensation for Electric Vehicle Applications Using PMSM with Multilevel Inverter." Mathematical Problems in Engineering 2020 (May 15, 2020): 1–12. http://dx.doi.org/10.1155/2020/7015865.

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The Three-Level Neutral-Point-Clamped (3L-NPC) inverter fed Permanent Magnet Synchronous Motor (PMSM) drive is an attractive configuration for high performance Electric Vehicle (EV) applications. For such configuration, due to their high performances, the Finite-Control-Set Model Predictive Control (FCS-MPC) is a very attractive control solution. The FCS-MPC scheme is based on the prediction of the future behavior of the controlled variables using the dynamic model of PMSM and the discrete nature of the 3L-NPC inverter. However, the parametric uncertainties and time-varying parameters affect t
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Šlapák, Viktor, Karol Kyslan, Milan Lacko, Viliam Fedák, and František Ďurovský. "Finite Control Set Model Predictive Speed Control of a DC Motor." Mathematical Problems in Engineering 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/9571972.

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The paper describes the design procedure for a finite control set model predictive control (FCS-MPC) of brushed permanent magnet DC (PMDC) machine supplied from DC-DC converter. Full order linear Kalman filter is used for estimation of an unmeasured load torque and reduction of speed measurement noise. A new cost function has been introduced with a feedforward dynamic current component and a feedforward static load current component. The performance of the proposed control strategy is compared to the conventional PI-PWM cascade speed control through the experimental verification on the 250 W l
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Chen, Xiaotao, Weimin Wu, Ning Gao, Jiahao Liu, Henry Shu-Hung Chung, and Frede Blaabjerg. "Finite Control Set Model Predictive Control for an LCL-Filtered Grid-Tied Inverter with Full Status Estimations under Unbalanced Grid Voltage." Energies 12, no. 14 (2019): 2691. http://dx.doi.org/10.3390/en12142691.

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This paper proposes a novel finite control set model predictive control (FCS-MPC) strategy with merely grid-injected current sensors for an inductance-capacitance-inductance (LCL)-filtered grid-tied inverter, which can obtain a sinusoidal grid-injected current whether three-phase grid voltages are balanced or not. Compared with the conventional FCS-MPC method, four compositions are added in the proposed FCS-MPC algorithm, where the grid voltage observer (GVO) and Luenberger observer are combined together to achieve full status estimations (including grid voltage, capacitor voltage, inverter-si
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Sha, MaiChao, RuiJin Zhu, and XueJiao Gong. "Fixed frequency Finite Control Set Model Predictive Control For Three-level APF." E3S Web of Conferences 233 (2021): 04028. http://dx.doi.org/10.1051/e3sconf/202123304028.

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Active power filter can compensate harmonic and reactive power, Three level neutral point clamp (ANPC) has the characteristics of low output harmonic and low device loss. The control of three-level active power filter needs to consider multiple objectives. Finite control set model predictive control (FCS-MPC) is a new method which can add constraints and multi-objective control. According to the limit of the switch state, it can track the reference current, which has the characteristics of fast dynamic response and good compensation effect. This method not only keeps the neutral point voltage
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Alhasheem, Mohammed, Frede Blaabjerg, and Pooya Davari. "Performance Assessment of Grid Forming Converters Using Different Finite Control Set Model Predictive Control (FCS-MPC) Algorithms." Applied Sciences 9, no. 17 (2019): 3513. http://dx.doi.org/10.3390/app9173513.

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Finite control set model predictive control (FCS-MPC) methods in different power electronic applications are gaining considerable attention due to their simplicity and fast dynamics. This paper introduces an assessment of the two-level three-phase voltage source converter (2L-VSC) utilizing different MPC schemes with and without a modulation stage. In order to perform such a comparative evaluation, 2L-VSC efficiency and total harmonics distortion of the voltage (THDv) have been investigated, when considering a linear load. The results demonstrate the performance of different MPC algorithms thr
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Dissertations / Theses on the topic "Finite control set model predictive control (FCS-MPC)"

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Ngo, Van Quang Binh. "Algorithmes de conception de lois de commande prédictives pour les systèmes de production d’énergie." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLC031/document.

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Cette thèse vise à élaborer de nouvelles stratégies de commande basées sur la commande prédictive pour le système de génération d’énergie éolienne. La topologie des systèmes de production éolienne basées sur le Générateur Asynchrone à Double Alimentation (GADA) qui convient à des plateformes de génération dans la gamme de puissance de 1.5 à 6 MW est abordée. Du point de vue technologique, le convertisseur à trois niveaux et clampé par le neutre (3L-NPC) est considéré comme une bonne solution pour une puissance élevée en raison de ses avantages: capacité à réduire la distorsion harmonique de la
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Conference papers on the topic "Finite control set model predictive control (FCS-MPC)"

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Yi, Zhehan, Abdulrahman J. Babqi, Yishen Wang, et al. "Finite-Control-Set Model Predictive Control (FCS-MPC) for Islanded Hybrid Microgrids." In 2018 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2018. http://dx.doi.org/10.1109/pesgm.2018.8586292.

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Alam, K. S., D. Xiao, D. Zhang, and M. F. Rahman. "Simplified finite control set model predictive control (FCS-MPC) with extended voltage vectors for grid connected converters." In 2017 Australasian Universities Power Engineering Conference (AUPEC). IEEE, 2017. http://dx.doi.org/10.1109/aupec.2017.8282435.

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CASTRO, ALLAN GREGORI DE, PAULO ROBERTO UBALDO GUAZZELLI, STEFAN THIAGO CURY ALVES DOS SANTOS, et al. "Finite Control-Set Model Predictive Torque Control of Nonsinusoidal PMSM: a Generalized Approach for Torque Ripple Mitigation and MTPA Operation." In Seminar on Power Electronics and Control (SEPOC 2021). sepoc, 2021. http://dx.doi.org/10.53316/sepoc2021.024.

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Permanent Magnet Synchronous Motors (PMSMs) may present spatial harmonics depending on the design guidelines or imprecisions on the manufacturing process. The interaction of conventional sinusoidal current feeding strategies with these spatial harmonics can produce a considerable torque ripple. This paper deals with a modified Finite Control-Set Model Predictive Torque Control (FCS-MPTC) loop as an active torque ripple minimization solution for PMSMs with spatial harmonics. The proposed approach designs a novel cost function, based on the cross product reactive instantaneous power theory. The
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Cholette, Michael E., and Dragan Djurdjanovic. "Model-Predictive Control and Closed-Loop Stability Considerations for Nonlinear Plants Described by Local ARX-Type Models." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-3973.

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In this paper, a model-predictive control (MPC) method is detailed for the control of nonlinear systems with stability considerations. It will be assumed that the plant is described by a local input/output ARX-type model, with the control potentially included in the premise variables, which enables the control of systems that are nonlinear in both the state and control input. Additionally, for the case of set point regulation, a suboptimal controller is derived which has the dual purpose of ensuring stability and enabling finite-iteration termination of the iterative procedure used to solve th
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Sun, Liting, Cheng Peng, Wei Zhan, and Masayoshi Tomizuka. "A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation Learning." In ASME 2018 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dscc2018-9249.

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Safety and efficiency are two key elements for planning and control in autonomous driving. Theoretically, model-based optimization methods, such as Model Predictive Control (MPC), can provide such optimal driving policies. Their computational complexity, however, grows exponentially with horizon length and number of surrounding vehicles. This makes them impractical for real-time implementation, particularly when nonlinear models are considered. To enable a fast and approximately optimal driving policy, we propose a safe imitation framework, which contains two hierarchical layers. The first lay
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Lau, Dennis, and S. W. Ricky Lee. "Correlation Between the Strain on the Printed Circuit Board and the Stress in Chips for the Failure Prediction of Passive Components." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-82084.

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Due to the demand for miniaturization of microelectronic devices, the density of packaging has become higher and higher. Also, the sizes of components have become smaller and smaller. In addition to advanced active components such as chip scale packages (CSPs) and flip chips (FCs), mini sized passive components such as chip capacitors and resistors are also important elements for high density packaging. It is quite common to see dozens up to hundreds of passive components on printed circuit boards (PCBs). Both active and passive components contribute to the function (and also malfunction) of e
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