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

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

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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2

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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3

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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4

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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8

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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10

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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Murali, Abhishek, Razia Sultana Wahab, Chandra Sekhar Reddy Gade, Chitra Annamalai, and Umashankar Subramaniam. "Assessing Finite Control Set Model Predictive Speed Controlled PMSM Performance for Deployment in Electric Vehicles." World Electric Vehicle Journal 12, no. 1 (2021): 41. http://dx.doi.org/10.3390/wevj12010041.

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Electric vehicles (EVs) have the main advantage of using sustainable forms of energy to operate and can be integrated into electrical power grids for better energy management. An essential part of the EV propulsion system is the type of motor used to propel the EV. Permanent magnet synchronous motors (PMSMs) have found extensive use due to various advantages such as high power density, excellent torque-to-weight ratio and smooth speed profile over the entire torque range. The objective of this paper was to improve the dynamic response in the speed profile for different driving conditions essen

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Wang, Zhengqi, Liusen Sheng, Qunhai Huo, and Sipeng Hao. "An Improved Model Predictive Control Method for Three-Port Soft Open Point." Mathematical Problems in Engineering 2021 (June 29, 2021): 1–22. http://dx.doi.org/10.1155/2021/9910451.

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Soft open point (SOP) is a key power electronic device to improve the flexibility and stability of the distribution network and is becoming a research hotspot. The traditional double closed-loop control of SOP has a complex structure, difficult process of parameter design, and poor output power quality. To solve these problems, finite control set model predictive control (FCS-MPC) has been adopted. Since FCS-MPC involves a large amount of calculation and experiences delay in current tracking, an improved FCS-MPC with delay compensation is proposed for three-port SOP in this paper to replace th

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Bao, GuangQing, WuGang Qi, and Ting He. "Direct Torque Control of PMSM with Modified Finite Set Model Predictive Control." Energies 13, no. 1 (2020): 234. http://dx.doi.org/10.3390/en13010234.

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A direct torque control (DTC) with a modified finite set model predictive strategy is proposed in this paper. The eight voltage space vectors of two-level inverters are taken as the finite control set and applied to the model predictive direct torque control of a permanent magnet synchronous motor (PMSM). The duty cycle of each voltage vector in the finite set can be estimated by a cost function, which is designed based on factors including the torque error, maximum torque per ampere (MTPA), and stator current constraints. Lyapunov control theory is introduced in the determination of the weigh

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14

Jongudomkarn, Jonggrist, and Warayut Kampeerawat. "Active damping method for voltage source inverter-based distributed generator using multivariable finite-control-set model predictive control." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 1 (2021): 334. http://dx.doi.org/10.11591/ijpeds.v12.i1.pp334-344.

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Despite its advantages, the LCL filter can significantly distort the grid current and constitute a substantially more complex control issue for the grid-connected distributed generators (DGs). This paper presents an active damping approach to deal with the LCL filter's oscillation for the finite-control-set model predictive control (FCS-MPC)-three-phase voltage source inverters (VSIs)-based DG. The new approaches use the multivariable control of the inverter side's filter current and capacitor voltage to suppress the LCL filter resonance. The proposed method has been tested in steady-state and

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15

Narimani, Mehdi, Bin Wu, Venkata Yaramasu, and Navid Reza Zargari. "Finite Control-Set Model Predictive Control (FCS-MPC) of Nested Neutral Point-Clamped (NNPC) Converter." IEEE Transactions on Power Electronics 30, no. 12 (2015): 7262–69. http://dx.doi.org/10.1109/tpel.2015.2396033.

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16

Sheng, Long, Dapeng Li, and Yue Ji. "Two-Vector FCS-MPC for Permanent-Magnet Synchronous Motors Based on Duty Ratio Optimization." Mathematical Problems in Engineering 2018 (May 31, 2018): 1–9. http://dx.doi.org/10.1155/2018/9061979.

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The servo system of a permanent-magnet synchronous motor usually consists of current, speed, and position loops. Compared with conventional PI control, finite-control-set model predictive control (FCS-MPC) has the advantage of fast response. Conventional FCS-MPC relies on the precise parameters of system model and has large current ripple. To address that problem, this paper proposed an improved FCS-MPC based on duty ratio optimization in synchronous rotating reference frame. To get more precise voltage vector, the proposed FCS-MPC selects the optimal vector combination and, respectively, calc

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17

Espinosa, Eduardo, José Espinoza, Pedro Melín, Jaime Rohten, Carlos Baier, and Marcelo Reyes. "Finite Control Set—Model Predictive Control with Non-Spread Spectrum and Reduced Switching Frequency Applied to Multi-Cell Rectifiers." Energies 14, no. 19 (2021): 6045. http://dx.doi.org/10.3390/en14196045.

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Multi-cell converters are widely used in medium-voltage AC drives. This equipment is based on power cells that operate with low-voltage-rating semiconductors and require an input multipulse transformer. This transformer cancels the low-frequency current harmonics generated by the three-phase diode-based rectifier. Unfortunately, this transformer is bulky, heavy, expensive, and does not extend the existing power cell (three-phase rectifier—Direct Current (DC) voltage-link—single-phase inverter) to the transformer. In this study, a harmonic cancelation method based on finite control set-model pr

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18

Omar, Riyadh, and Rabee Thejel. "Finite Control Set Model Predictive Current Control FCS-MPC Based on Cost Function Optimization, with Current Limit Constraints for Four-Leg VSI." Iraqi Journal for Electrical and Electronic Engineering 12, no. 1 (2016): 43–53. http://dx.doi.org/10.37917/ijeee.12.1.5.

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A Matlab/Simulink model for the Finite Control Set Model Predictive current Control FCS-MPC based on cost function optimization, with current limit constraints for four-leg VSI is presented in this paper, as a new control algorithm. The algorithm selects the switching states that produce minimum error between the reference currents and the predicted currents via optimization process, and apply the corresponding switching control signals to the inverter switches. The new algorithm also implements current constraints which excludes any switching state that produces currents above the desired ref

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19

Gong, Xuejiao, Shifeng Hu, and Ruijin Zhu. "Multistep Finite Control Set Model Predictive Control of Photovoltaic Power Generation System with Harmonic Compensation." Complexity 2021 (June 18, 2021): 1–11. http://dx.doi.org/10.1155/2021/4249152.

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Photovoltaic (PV) power generation is the main aspect of new energy power generation, and it is an important means to achieve the goal of carbon neutrality. When the PV system is connected to the grid, the nonlinear load of the grid will affect the power quality and consume reactive power. This paper proposes a PV power generation grid-connected system to improve power quality, with an active power filter (APF) function. Through the maximum power point tracking (MPPT) method, PV power generation can operate at the maximum power point and play the function of harmonic and reactive power compens

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20

Alhasheem, Mohammed, Ahmed Abdelhakim, Frede Blaabjerg, Paolo Mattavelli, and Pooya Davari. "Model Predictive Control of Grid Forming Converters with Enhanced Power Quality." Applied Sciences 10, no. 18 (2020): 6390. http://dx.doi.org/10.3390/app10186390.

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This paper proposes an enhanced finite control set model predictive control (FCS-MPC) strategy for voltage source converter (VSC) with a LC output filter. The proposed control scheme is based on tracking the voltage reference trajectory by using only a single-step prediction within the controller horizon. Besides, the suitability of different frequency control schemes with the proposed scheme to prevent from inherent variable switching behaviour of conventional FCS-MPC is investigated. Based on that, the proposed method targets two major factors influencing power quality in grid forming applic

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Li, Shujing, Zewen Wang, Yan Yan, and Tingna Shi. "Finite Set Model Predictive Control of a Dual-Motor Torque Synchronization System Fed by an Indirect Matrix Converter." Energies 14, no. 5 (2021): 1325. http://dx.doi.org/10.3390/en14051325.

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In the dual-motor torque synchronization system fed by an indirect matrix converter (IMC), a finite set model predictive control (FCS-MPC) strategy based on a standard quadratic cost function was proposed to solve the open-loop problem of the torque synchronization error in a traditional closed-loop control strategy. Through the unified modeling of a dual-motor system, the torque synchronization error as a new state variable was involved in the switching state selection of the inverter stages, and the space vector modulation method was still used in the rectifier stage. At the same time, based

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Kang, Longyun, Jiancai Cheng, Bihua Hu, Xuan Luo, and Jianbin Zhang. "A Simplified Optimal-Switching-Sequence MPC with Finite-Control-Set Moving Horizon Optimization for Grid-Connected Inverter." Electronics 8, no. 4 (2019): 457. http://dx.doi.org/10.3390/electronics8040457.

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Optimal-switching-sequence model-predictive-control (OSS-MPC) strategy, a popular kind of continuous-control-set MPC (CCS-MPC), has been used to address the variable frequency of finite-control-set MPC (FCS-MPC). Since the digital signal processor (DSP) does not have a dedicated divider, it requires a large amount of computation for the division operations in OSS searching. Here, a simplified OSS-MPC absorbing the merits of FCS-MPC is proposed to reduce the computational burden of conventional OSS-MPC. The proposed method uses a novel cost function whose candidates are the finite center vector

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Ramírez, Roberto O., Carlos R. Baier, José Espinoza, and Felipe Villarroel. "Finite Control Set MPC with Fixed Switching Frequency Applied to a Grid Connected Single-Phase Cascade H-Bridge Inverter." Energies 13, no. 20 (2020): 5475. http://dx.doi.org/10.3390/en13205475.

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Finite control set model predictive control (FCS-MPC) has been widely investigated in recent years due to its ability to handle optimization problems with multiple control objectives in a diverse variety of systems. Moreover, its direct implementation in digital-based systems has made it an attractive strategy in static power converter applications. However, its characteristics such as variable switching frequency and spread harmonic spectrum limit the use of standard MPC due to power losses, audible noise, steady-state performance, and resonances. To mitigate these problems and extend the FCS

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Yehia Sayed Mohammed, Ahmed A. Zaki Diab, Ahmed G. Mahmoud A. Aziz, Hamdi Ali,. "Investigation of the Performance of Model Predictive Control for Induction Motor Drives." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 1 (2021): 1007–15. http://dx.doi.org/10.17762/itii.v9i1.235.

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The current work presents speed, torque and flux control of an induction motor (IM) drive, founded on model predictive control (MPC). Via the MPC techniques, the motor electromagnetic torque and flux linkage are controlled as an internal loop. However, the speed is controlled as the external loop. The internal control loop is founded on finite control set FCS-MPC, and the external control founded on the torque PI controller. The performance of the MPC is tested with various conditions of the drive operation, and the outcomes approve the excellent steady-state and dynamic operation of the syste

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Oliveira, Tiago, Luís Caseiro, André Mendes, and Sérgio Cruz. "Finite Control Set Model Predictive Control for Paralleled Uninterruptible Power Supplies." Energies 13, no. 13 (2020): 3453. http://dx.doi.org/10.3390/en13133453.

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Nowadays, uninterruptible power supplies (UPS) play an important role in feeding critical loads in the electric power systems such as data centers or large communication hubs. Due to the increasing power of these loads and frequent need for expansion or redundancy, UPS systems are frequently connected in parallel. However, when UPS systems are parallel-connected, two fundamental requirements must be verified: potential circulating currents between the systems must be eliminated and the load power must be distributed between the systems according to UPS systems availability. Moreover, a high-qu

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Nguyen, Thai-Thanh, Hyeong-Jun Yoo, Hak-Man Kim, and Huy Nguyen-Duc. "Direct Phase Angle and Voltage Amplitude Model Predictive Control of a Power Converter for Microgrid Applications." Energies 11, no. 9 (2018): 2254. http://dx.doi.org/10.3390/en11092254.

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Several control strategies of the finite control set model predictive controls (FCS-MPC) have been proposed for power converters, such as predictive current control (PCC), direct predictive power control (DPPC), and predictive voltage control (PVC). However, for microgrid (MG) applications, the control strategy of the FCS-MPC for a power converter might be changed according to the operation mode of the MG system, which results in a transient response in the system voltage or current during the mode transition. This study proposes a new control strategy of FCS-MPC for use in both islanded and g

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Bouguenna, Ibrahim Farouk, Ahmed Tahour, Ralph Kennel, and Mohamed Abdelrahem. "Multiple-Vector Model Predictive Control with Fuzzy Logic for PMSM Electric Drive Systems." Energies 14, no. 6 (2021): 1727. http://dx.doi.org/10.3390/en14061727.

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This article presents a multiple-vector finite-control-set model predictive control (MV-FCS-MPC) scheme with fuzzy logic for permanent-magnet synchronous motors (PMSMs) used in electric drive systems. The proposed technique is based on discrete space vector modulation (DSVM). The converter’s real voltage vectors are utilized along with new virtual voltage vectors to form switching sequences for each sampling period in order to improve the steady-state performance. Furthermore, to obtain the reference voltage vector (VV) directly from the reference current and to reduce the calculation load of

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Zhu, Yifeng, Hao Yue, Hailong Zhao, and Huichun Xu. "Improved Model Predictive Current Control of Single-Phase Five-Level PWM Rectifier." Energies 13, no. 9 (2020): 2214. http://dx.doi.org/10.3390/en13092214.

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In this paper, a single-phase five-level rectifier with coupled inductors is studied. First, a discrete mathematical model of a single-phase five-level rectifier is created in two-phase(αβ). A traditional single vector finite control set model predictive control (FCS-MPC) algorithm is improved to overcome the problems of a varying switching frequency, the large amount of time needed for calculation, and the inaccurate setpoint of current loop tracking. Then, the objective function of the system is established, and a simple objective function is used instead of an iterative optimization of the

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Park, Hyo-Seong, and YoungIl Lee. "Torque Tracking and Ripple Reduction of Permanent Magnet Synchronous Motor using Finite Control Set-Model Predictive Control (FCS-MPC)." Transactions of the Korean Institute of Power Electronics 19, no. 3 (2014): 249–56. http://dx.doi.org/10.6113/tkpe.2014.19.3.249.

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Li, Jian, Xiaoyan Huang, Feng Niu, Chaojie You, Lijian Wu, and Youtong Fang. "Prediction Error Analysis of Finite-Control-Set Model Predictive Current Control for IPMSMs." Energies 11, no. 8 (2018): 2051. http://dx.doi.org/10.3390/en11082051.

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Finite-control-set model predictive current control (FCS-MPCC) has been widely investigated in the field of motor control. When the discrete motor prediction model is not obtained accurately, prediction error often occurs, which can result in improper determinations of optimal voltage vectors and can further affect the control performance of motor systems. However, papers evaluating the motor control performance employing FCS-MPCC rarely consider prediction error and its utilization to weaken the influence of inaccurate prediction model. This paper investigates in depth the prediction error ca

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Harbi, Ibrahim, Mohamed Abdelrahem, Mostafa Ahmed, and Ralph Kennel. "Reduced-Complexity Model Predictive Control with Online Parameter Assessment for a Grid-Connected Single-Phase Multilevel Inverter." Sustainability 12, no. 19 (2020): 7997. http://dx.doi.org/10.3390/su12197997.

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This paper proposes a finite control set model predictive control (FCS-MPC) with a reduced computational burden for a single-phase grid-connected modified packed U-cell multilevel inverter (MPUC-MLI) with two control objectives: reference current tracking and switching frequency minimization. The considered competitive topology consists of two units with six active switches and two DC sources in each unit, allowing the generation of 49 levels in the output voltage, which is considered a significant reduction in the active and passive components compared to the conventional and recently develop

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Ma, Zhixun, Yuanzhe Zhao, Yan Sun, Zhiming Liao, and Guobin Lin. "Constant switching frequency model predictive control for permanent magnet linear synchronous motor." Transportation Systems and Technology 4, no. 3 suppl. 1 (2018): 279–88. http://dx.doi.org/10.17816/transsyst201843s1279-288.

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Aim: This paper proposes constant switching frequency model predictive control (CSF-MPC) for a permanent magnet linear synchronous motor (PMLSM) to improve the steady state and dynamic performance of the drive system. Methods: The conventional finite control set model predictive control (FCS-MPC) can be combined with a pulse width modulation (PWM) modulator due to an effective cost function optimization algorithm which is from the idea of dichotomy. In the algorithm, all the voltage vectors in the constrained vector plane are dynamically selected and calculated through iteration. The who

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Park, Seong Hwan, and Young Il Lee. "The Finite Control Set Model Predictive Torque Control Method for Surface Mounted Permanent Magnetic Synchronous Motor of Electric Vehicle." Journal of Institute of Control, Robotics and Systems 22, no. 6 (2016): 453–62. http://dx.doi.org/10.5302/j.icros.2016.16.0066.

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Podder, Amit Kumer, Md Habibullah, Md Tariquzzaman, Eklas Hossain, and Sanjeevikumar Padmanaban. "Power Loss Analysis of Solar Photovoltaic Integrated Model Predictive Control Based On-Grid Inverter." Energies 13, no. 18 (2020): 4669. http://dx.doi.org/10.3390/en13184669.

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This paper presents a finite control-set model predictive control (FCS-MPC) based technique to reduce the switching loss and frequency of the on-grid PV inverter by incorporating a switching frequency term in the cost function of the model predictive control (MPC). In the proposed MPC, the control objectives (current and switching frequency) select an optimal switching state for the inverter by minimizing a predefined cost function. The two control objectives are combined with a weighting factor. A trade-off between the switching frequency (average) and total harmonic distortion (THD) of the c

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Gonzalez-Prieto, Angel, Ignacio Gonzalez-Prieto, Mario J. Duran, Juan Carrillo-Rios, Juan J. Aciego, and Pedro Salas-Biedma. "Proportional Usage of Low-Level Actions in Model Predictive Control for Six-Phase Electric Drives." Energies 14, no. 14 (2021): 4358. http://dx.doi.org/10.3390/en14144358.

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Finite Control-Set Model Predictive Control (FCS-MPC) appears as an interesting alternative to regulate multiphase electric drives, thanks to inherent advantages such as its capability to include new restrictions and fast-transient response. Nevertheless, in industrial applications, FCS-MPC is typically discarded to control multiphase motors because the absence of a modulation stage produces a high harmonic content. In this regard, multi-vectorial approaches are an innovative solution to improve the electric drive performance taking advantage of the implicit modulator flexibility of Model Pred

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Liu and Zhao. "Robust Perturbation Observer-based Finite Control Set Model Predictive Current Control for SPMSM Considering Parameter Mismatch." Energies 12, no. 19 (2019): 3711. http://dx.doi.org/10.3390/en12193711.

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In order to improve the dynamics of the surface-mounted permanent magnet synchronous motors (SPMSM) used in servo systems, finite control set model predictive current control (FCS-MPCC) methods have been widely adopted. However, because the FCS-MPCC is a model-based strategy, its performance highly depends on the machine parameters, such as the winding resistance, inductance and flux linkage. Unfortunately, the parameter mismatch problem is common due to the measurement precision and environmental impacts (e.g., temperature). To enhance the robustness of the SPMSM FCS-MPCC systems, this paper

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Movahhed Neya, Najmeh, Sajad Saberi, and Babak Mozafari. "Direct predictive speed control of permanent magnet synchronous motor fed by matrix converter." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 4 (2020): 2183. http://dx.doi.org/10.11591/ijpeds.v11.i4.pp2183-2193.

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This paper proposes a non-cascade -single loop- Direct Speed Control algorithm for surface mounted Permanent Magnet Synchronous Motor (PMSM) fed by Matrix Converter. The proposed method uses Finite Control Set Model Predictive Control (FCS-MPC) to manipulate system speed and currents simultaneously. Also, for better performance of the predictive method, an observer designed to estimate mechanical torque and other uncertain parameters of the mechanical subsystem as a lumped disturbance. Simulation results using Matlab/Simulink demonstrate the performance of proposed algorithm.

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Blank, Matthias, Sebastian Wendel, Philipp Loehdefink, and Armin Dietz. "Evaluation of Model Based Predictive Control Algorithms for Fractional Horse Power Drives." Applied Mechanics and Materials 805 (November 2015): 231–40. http://dx.doi.org/10.4028/www.scientific.net/amm.805.231.

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Model based predictive control is a new promising control method in the field of powerelectronics and electrical drives. The main advantages of MPC are simplicity and intuitiveness of thecontrol method. Constraints and nonlinearities of the system can easily be included, which makes thelinearisation of the system unnecessary. By using MPC it is possible to avoid the cascaded structureof common linear control methods and to gain a fast dynamic performance. A disadvantage is theneed to calculate the optimal actuating variable multiple times in every single sampling cycle leadsto a huge requireme

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Khan, Hussain, Muhammad Aamir, Muhammad Ali, Asad Waqar, Syed Ali, and Junaid Imtiaz. "Finite Control Set Model Predictive Control for Parallel Connected Online UPS System under Unbalanced and Nonlinear Loads." Energies 12, no. 4 (2019): 581. http://dx.doi.org/10.3390/en12040581.

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In this paper, the finite control set model predictive control (FCS–MPC) technique-based controller is proposed for the inverter of the uninterrupted power supply (UPS) system. The proposed controller uses the mathematical model of the system to forecast the response of voltage for each possible switching state for every sampling instant. Following this, the cost function was used to determine the switching state, applied to the next sampling instant. First, the proposed control strategy was implemented for the single inverter of the UPS system. Finally, the droop control strategy was implemen

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Omar, Riyadh Ghanem. "Modified FCS-MPC algorithm for five-leg voltage source inverter." Indonesian Journal of Electrical Engineering and Computer Science 19, no. 1 (2020): 47. http://dx.doi.org/10.11591/ijeecs.v19.i1.pp47-57.

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<span>This paper represents a test of a modified algorithm to minimize the cost function in the traditional finite control-set model predictive current control (FCS-MPC) to control the (five-leg) DC voltage input inverter. A Matlab/Simulink description of a system presents a certain deviation limits between the reference and the actual measured phase currents, also the model implements a load current limitation. The algorithm picks out a proper switching state, which makes the lower error value between the wanted and the prognosticated currents; the proposed technique sets the chosen swi

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Zhang, Zhihui, Hongyu Wei, Wei Zhang, and Jianan Jiang. "Ripple Attenuation for Induction Motor Finite Control Set Model Predictive Torque Control Using Novel Fuzzy Adaptive Techniques." Processes 9, no. 4 (2021): 710. http://dx.doi.org/10.3390/pr9040710.

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Finite control set model predictive torque control (FCS-MPTC) strategy has been widely used in induction motor (IM) control due to its fast response characteristic. Although the dynamics of the FCS-MPTC method are highly commended, its steady-state performance—ripple deserves attention in the meantime. To improve the steady-state performance of the IM drives, this paper proposes an improved FCS-MPTC strategy, based on a novel fuzzy adaptive speed controller and an adaptive weighting factor, tuning strategy to reduce the speed, torque and flux ripples caused by different factors. Firstly, a dis

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Nazemi, Adel, Omid Salari, Mohammad Tavakoli Bina, Masoud Kazemi, and Bahman Eskandari. "Predictive Control for Reduced Structure Multilevel Converters: Experimenting on a Seven Level Packed U-Cell." International Journal of Power Electronics and Drive Systems (IJPEDS) 7, no. 2 (2016): 568. http://dx.doi.org/10.11591/ijpeds.v7.i2.pp568-582.

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Recently, a branch of multilevel converters is emerged, in which their ‘reduced structure’ topologies use lower number of devices compared to the available topologies. To get a cost efficient converter, lower number of components as well as high quality waveforms, multilevel converters with a ‘reduced structure’ (MCRS) are suitable for high/medium power systems. Also, utilizing the fast microprocessors available today, applications of predictive control in power converters are of very powerful and attractive alternatives to classical controllers. This paper proposes a finite control set model-

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Wróbel, Karol, Piotr Serkies, and Krzysztof Szabat. "Model Predictive Base Direct Speed Control of Induction Motor Drive—Continuous and Finite Set Approaches." Energies 13, no. 5 (2020): 1193. http://dx.doi.org/10.3390/en13051193.

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In the paper a comparative study of the two control structures based on MPC (Model Predictive Control) for an electrical drive system with an induction motor are presented. As opposed to the classical approach, in which DFOC (Direct Field Oriented Control) with four controllers is considered, in the current study only one MPC controller is utilized. The proposed control structures have a cascade free structure that consists of a vector of electromagnetic (torque, flux) and mechanical (speed) states of the system. The first investigated framework is based on the finite-set MPC. A short horizon

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Han, Jingang, Chao Li, Tengfei Yang, and Jun Han. "Simplified Finite Set Model Predictive Control Strategy of Grid-Connected Cascade H-Bridge Converter." Journal of Control Science and Engineering 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/9478387.

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Finite set model predictive control (FS-MPC) has become a promising control technology in power converter, because of the advantages of good dynamic response and accurate current tracking capability. In real-time control process, the conventional FS-MPC strategy requires more time for prediction and optimization. As a result, there will be a certain delay between sampling and output. In order to reduce the amount of calculation and overcome the adverse effect of the delay on the system performance, this paper presents a simplified FS-MPC method. Firstly, adjacent levels method is used to reduc

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Zafra, Eduardo, Sergio Vazquez, Hipolito Guzman Miranda, et al. "Efficient FPSoC Prototyping of FCS-MPC for Three-Phase Voltage Source Inverters." Energies 13, no. 5 (2020): 1074. http://dx.doi.org/10.3390/en13051074.

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This work describes an efficient implementation in terms of computation time and resource usage in a Field-Programmable System-On-Chip (FPSoC) of a Finite Control Set Model Predictive Control (FCS-MPC) algorithm. As an example, the FCS-MPC implementation is used for the current reference tracking of a two-level three-phase power converter. The proposed solution is an enabler for using both complex control algorithms and digital controllers for high switching frequency semiconductor technologies. An original HW/SW (hardware and software) system architecture for an FPSoC is designed to take adva

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Wei, Xinwei, Hongliang Wang, Kangliang Wang, Kui Li, Minying Li, and An Luo. "Robust Two-Layer Model Predictive Control for Full-Bridge NPC Inverter-Based Class-D Voltage Mode Amplifier." Electronics 8, no. 11 (2019): 1346. http://dx.doi.org/10.3390/electronics8111346.

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Finite control set model predictive control (FCS-MPC) is able to handle multiple control objectives and constraints simultaneously with good dynamic performance. However, its industrial application is limited by its high dependence on system model and the huge computational effort. In this paper, a novel robust two-layer MPC (RM-MPC) with strong robustness is proposed for the full-bridge neutral-point clamped (NPC) voltage mode Class-D amplifier (CDA) aiming at this problem. The errors caused by the parameter mismatches or uncertainties of the LC filter and the load current are regarded as lum

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Zair, Moustafa, and Abdeldjebar Hazzab. "MRAS Speed Sensorless Vector Control of Induction Motor Drives using Predictive Adaptation Mechanism." International Journal of Power Electronics and Drive Systems (IJPEDS) 9, no. 4 (2018): 1523. http://dx.doi.org/10.11591/ijpeds.v9.i4.pp1523-1533.

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Recently of the main topic of research is the sensorless vector control of induction motor drive,<strong><em> </em></strong>In this paper presents the predictive model reference adaptive system (PMRAS) rotor speed observer, This observer developed from the classical MRAS rotor flux scheme associated with predictive adaptation mechanism designed from the Finite Control Set Model Predictive Control (FCS–MPC) by using a search optimization algorithm for calculate the rotor position which guarantee a minimum speed tuning error signal at each sampling period. The effectivene

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Alquennah, Alamera Nouran, Mohamed Trabelsi, Khaled Rayane, Hani Vahedi, and Haitham Abu-Rub. "Real-Time Implementation of an Optimized Model Predictive Control for a 9-Level CSC Inverter in Grid-Connected Mode." Sustainability 13, no. 15 (2021): 8119. http://dx.doi.org/10.3390/su13158119.

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The Crossover Switches Cell (CSC) is a recent Single DC-Source Multilevel Inverter (SDCS-MLI) topology with boosting abilities. In grid-connected PV applications, the CSC should be controlled to inject a sinusoidal current to the grid with low THD% and unity power factor, while balancing the capacitor voltage around its reference. These two objectives can be met through the application of a finite control set model predictive control (FCS-MPC) method. Thus, this paper proposes a design of an optimized FCS-MPC for a 9-level grid-tied CSC inverter. The switching actions are optimized using the r

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Yoo, Hyeong-Jun, Thai-Thanh Nguyen, and Hak-Man Kim. "MPC with Constant Switching Frequency for Inverter-Based Distributed Generations in Microgrid Using Gradient Descent." Energies 12, no. 6 (2019): 1156. http://dx.doi.org/10.3390/en12061156.

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Variable switching frequency in the finite control set model predictive control (FCS-MPC) method causes a negative impact on the converter efficiency and the design of the output filters. Several studies have addressed the problem, but they are either complicated or require heavy computation. This study proposes a new model predictive control (MPC) method with constant switching frequency, which is simple to implement and needs only a small computation time. The proposed MPC method is based on the gradient descent (GD) method to find the optimal voltage vector. Since the cost function of the M

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Ghany, Asmaa A., E. G. Shehata, Abo-Hashima M. Elsayed, et al. "Novel Switching Frequency FCS-MPC of PMSG for Grid-Connected Wind Energy Conversion System with Coordinated Low Voltage Ride Through." Electronics 10, no. 4 (2021): 492. http://dx.doi.org/10.3390/electronics10040492.

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The integration of wind energy systems (WECS) into the power grid through power electronic converters should ensure the high performance of the control system. In spite of several advantages of conventional Finite control set-model predictive controller (FCS-MPC), variable switching frequency and high computational burden are considered its main drawbacks. In this paper, a fast FCS-MPC of a machine side converter (MSC) of direct-driven permanent magnet synchronous generator (PMSG) based wind turbines for wind energy conversion system is proposed. The wind energy conversion system has been real

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