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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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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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Online multi-parameter estimation of interior permanent magnet motor drives with finite control set model predictive control

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IET ELECTRIC POWER APPLICATIONS 2017年第5期11卷 944-951页

作者： Nalakath, Shamsuddeen Preindl, Matthias Emadi, Ali McMaster Univ Dept Elect & Comp Engn Hamilton ON Canada Columbia Univ Dept Elect Engn New York NY 10027 USA

This study presents an online multiparameter estimation scheme for interior permanent magnet motor drives that exploits the switching ripple of finite control set (FCS) model predictive control (MPC). The combinations consist of two, three, and four parameters are analysed for observability at different operating states. Most of the combinations are rank deficient without persistent excitation (PE) of the system, e.g. by signal injection. This study shows that high frequency current ripples by MPC with FCS are sufficient to create PE in the system. This study also analyses parameter coupling in estimation that results in wrong convergence and propose a decoupling technique. The observability conditions for all the combinations are experimentally validated. Finally, a full parameter estimation along with the decoupling technique is tested at different operating conditions.

关键词： permanent magnet motors motor drives parameter estimation predictive control machine control observability switching systems (control) online multiparameter estimation interior permanent magnet motor drives finite control set model predictive control switching ripple FCS MPC operating states persistent excitation signal injection PE parameter coupling observability conditions decoupling technique

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Total Harmonic Distortion Oriented finite control set model predictive control for Single-Phase Inverters

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ENERGIES 2018年第12期11卷 3467-3467页

作者： Li, Po Li, Ruiyu Feng, Haifeng Xiamen Univ Sch Aerosp Engn Dept Instrumental & Elect Engn Xiamen 361102 Peoples R China

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 tracking error, instantaneous THD value and DC component in one fundamental cycle (for 50 Hz, it is 0.02 s). Iterative method is developed for rapid calculation of this cost function. By choosing a switching state from a FCS to minimize the cost function, a FCS MPC is finally constructed. Simulation results in Matlab/Simulink and experimental results on rapid control prototype platform show the effect of this method. Analyses illustrate that, by choosing suitable weight of the cost function, the performance of this THD oriented FCS MPC method is better than the traditional one.

关键词： Total Harmonic Distortion reduction single-phase inverters finite control set model predictive control modified cost function

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Fast finite control set model predictive control for Three-phase Five-level Nested Neutral Point Piloted Converter 43

Fast Finite Control Set Model Predictive Control for Three-p...

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43rd Annual Conference of the IEEE-Industrial-Electronics-Society (IECON)

作者： Li, Junjie Dan, Zhang Jiang, Jianguo Shanghai Jiao Tong Univ Minist Educ Key Lab Control Power Transmiss & Convers Shanghai Peoples R China

ISBN: (纸本)9781538611272

Conventional finite control set model predictive control (FCS-MPC) for multilevel converters can realize multi objective control and contain the nonlinear characteristics. However, conventional FCS-MPC may lead to high computational complexity and unwanted switching transition, which is not easy to implement. To solve the issues of computational burden and unwanted switching transition, this paper proposes the fast FCS-MPC for three-phase five-level nested neutral point piloted (NNPP) converter. According to the switching principle, the finite control subset of the effective candidates is obtained from all of the switching combinations, which significantly reduces the necessary iterations and computational complexity. The proposed fast FCS-MPC also avoids output level jump and unwanted switching transition. Moreover, the neutral-point voltage balance and reducing switching frequency are also taken into account in the cost function. Finally, the five-level NNPP converter simulation model is built. The simulation results verify the correctness of the proposed fast FCS-MPC.

关键词： five-level nested neutral point piloted finite control set model predictive control floating-capacitor voltage balance neutral-point voltage balance

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Simplified fault tolerant finite control set model predictive control of a five-phase inverter supplying BLDC motor in electric vehicle drive

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ELECTRIC POWER SYSTEMS RESEARCH 2016年第Mar.期132卷 56-66页

作者： Salehifar, Mehdi Moreno-Eguilaz, Manuel Putrus, Ghanim Barras, Peter UPC Dept Elect Engn Rambla St Nebridi 22 Terrassa Spain Northumbria Univ Dept Phys & Elect Engn Newcastle Upon Tyne NE1 8ST Tyne & Wear England Sevcon LTD Newcastle Upon Tyne Tyne & Wear NE11 0QA England

Multiphase brushless direct current (BLDC) motors can meet the increasing demand for higher reliability in motor drives applicable in electric vehicles by integrating fault diagnosis to a fault-tolerant (FT) control method. To achieve this goal, a modified FT finite control set model predictive control (FCS-MPC) is proposed in this paper. The dead beat control is used to predict the reference voltage applied by the inverter. A sensitivity analysis is done to show the effect of model uncertainty on the controller performance. In addition, a simple, fast and general open switch and short circuit fault detection (FD) method in voltage source inverter (VSI) is presented. The FD method is capable of detecting open switch, open phase, and short circuit faults without any auxiliary variable. Moreover, it is robust to both speed and load transients in a motor drive. To validate the presented theory, experimental results are conducted on a five-phase BLDC motor drive with outer rotor in wheel structure. (C) 2015 Elsevier B.V. All rights reserved.

关键词： Fault detection Multiphase fault-tolerant drive BLDC motor finite control set model predictive control

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Design and simulation of a finite control set model predictive control system for a regenerative grid simulator

Design and simulation of a finite control set model predicti...

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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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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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