2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)最新文献

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Model Predictive Control of Five-Level ANPC Converter with Reduced Number of Calculations 减少计算量的五电平ANPC变换器模型预测控制
K. Kulikowski
{"title":"Model Predictive Control of Five-Level ANPC Converter with Reduced Number of Calculations","authors":"K. Kulikowski","doi":"10.1109/PRECEDE.2019.8753269","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753269","url":null,"abstract":"This paper presents two model predictive control methods of five-level active neutral-point-clamped converter (ANPC) with Reduced Number of Calculations. The first method is less complicated and requires to calculate the value of cost function for only three converter voltage vectors. The second method is using two steps prediction horizon and requires to calculate cost function for seven vectors in first step and for three vectors for second step. The proposed methods are compared with standard model predictive control methods. Simulation results confirm a good performance of proposed methods.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129729531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Model Predictive Control for Three-Phase PWM Rectifier with Active Power Decoupling Circuit Under Unbalanced Grid Voltages 电网电压不平衡条件下带有源功率解耦的三相PWM整流器模型预测控制
Yuanbo Guo, Mingxin Liu, Xiaoyu Fang, Ze Li, Xiaohua Zhang
{"title":"Model Predictive Control for Three-Phase PWM Rectifier with Active Power Decoupling Circuit Under Unbalanced Grid Voltages","authors":"Yuanbo Guo, Mingxin Liu, Xiaoyu Fang, Ze Li, Xiaohua Zhang","doi":"10.1109/PRECEDE.2019.8753277","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753277","url":null,"abstract":"For the conventional control strategy of the three-phase pulse width modulation (PWM) rectifier, sinusoidal symmetrical ac currents and ripple free dc voltage cannot be achieved simultaneously under unbalanced grid voltages. For this reason, a model predictive control (MPC) for three-phase PWM rectifier with active power decoupling (APD) circuit is proposed. Specifically, sinusoidal symmetrical ac currents without negative sequence components can be obtained by means of MPC for the main circuit of PWM rectifier; meanwhile, MPC of the APD circuit contributes to the double-line-frequency ripple power decoupling for the ripple free dc voltage regulation even with a reduced dc link capacitor. Thanks to the high flexibility of MPC, the control strategy for both aforementioned circuits can be integrated in a unified model predictive controller, which avoids the separate controls for the two circuits and simplifies the control implementation. In addition, combined with direct power control in an $beta-alpha$ frame, the proposed MPC strategy tracks several associated instantaneous power values rather than voltage or current waveforms, so that it has the advantages of simple principle, fast response, strong robustness and easy implementation. The simulation results have verified the effectiveness of the proposed MPC strategy for PWM rectifier without bulky capacitor.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125103839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multi-vector Model Predictive Direct Power Control for Fault-tolerant Bidirectional AC/DC Converter 容错双向AC/DC变换器的多向量模型预测直接功率控制
Yanyan Li, Guohao Li, Zhenjun Wu, Shiyang Hu, Nan Jin, Leilei Guo, Kui Luo
{"title":"Multi-vector Model Predictive Direct Power Control for Fault-tolerant Bidirectional AC/DC Converter","authors":"Yanyan Li, Guohao Li, Zhenjun Wu, Shiyang Hu, Nan Jin, Leilei Guo, Kui Luo","doi":"10.1109/PRECEDE.2019.8753316","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753316","url":null,"abstract":"So as to reduce the current harmonics and power ripple after bidirectional AC/DC converter bridge arm fault, a multi-vector model predictive fault-tolerant control method is proposed. First, the system of bidirectional AC/DC converter with a bridge arm fault is reconstructed. Then the operation mechanism of fault-tolerant converter structure and the relationship of voltage vectors are clarified. Second, the power prediction model under the converter fault-tolerant operation mode is established. Multiple voltage vectors are used in a switching cycle. The new synthetic vector is used to track the optimal vector. The switching order of each vector is fixed to realize switching frequency concentrate. Third, the simulation model is built. The results show that the bidirectional AC/DC converter can operate fault-tolerant operation after the bridge arm failure under the control strategy proposed and the output current harmonics and power ripples are reduced. The system has good steady-state and dynamic performance.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124105378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Cascaded Finite Control-Set Model Predictive Control for the Dual Inverter Fed Open-End Winding Induction Motor with Four-level Inversion 双逆变器四电平反转开放式异步电动机的级联有限控制集模型预测控制
M. Mousavi, S. Davari, C. Garcia, José R. Rodríguez, Fengxiang Wang
{"title":"Cascaded Finite Control-Set Model Predictive Control for the Dual Inverter Fed Open-End Winding Induction Motor with Four-level Inversion","authors":"M. Mousavi, S. Davari, C. Garcia, José R. Rodríguez, Fengxiang Wang","doi":"10.1109/PRECEDE.2019.8753199","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753199","url":null,"abstract":"A new strategy for employing the finite control-set model predictive control (FCS-MPC) to the dual inerter fed open-end winding induction motor is presented in this paper. Effective switching states for attaining a four-level inversion in this structure are 37 vectors. Using this large number of switching states in the predictive control, demands high computational burden. In the suggested method, the voltage vectors are selected in a cascaded form. Therefore, calculations of the predictive control need to be done only 13 times, which require about 65 percent less computational burden. It has to be noted that in this strategy, all the effective switching states can be selected. Moreover, the active redundant states are used automatically. A comparison is made between the proposed strategy and the conventional voltage vector selection method in the both predictive torque and current control schemes. The usefulness of the innovative cascaded FCS-MPC strategy is examined and validated through the simulations.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127357209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Model Predictive Current Control of Doubly Salient Electromagnetic Machine for Current Ripple Suppression 抑制电流纹波的双凸极电磁电机模型预测电流控制
Xu Chen, Zhuoran Zhang, Li Yu, Zhangming Bian
{"title":"Model Predictive Current Control of Doubly Salient Electromagnetic Machine for Current Ripple Suppression","authors":"Xu Chen, Zhuoran Zhang, Li Yu, Zhangming Bian","doi":"10.1109/PRECEDE.2019.8753359","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753359","url":null,"abstract":"In this paper, the model predictive current control (MPCC) method for the doubly salient electromagnetic machine (DSEM) is proposed and investigated for current ripple suppression. The fundamental principle of the MPCC for the DSEM is introduced. The predicted current model is deduced and the objective function for current ripple reduction is constructed. With the help of the method of Lagrange multipliers, the optimal voltage vector and its duty cycle are obtained by the proposed MPCC method. The proposed MPCC method is analyzed and compared with the traditional hysteresis control methods in terms of phase current performance. Finally, the analysis and simulation results confirm the effectiveness of the proposed MPCC method for current ripple suppression which can contribute to the improvement of the torque performance further.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122189100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Multiple-Vector Direct Model Predictive Control for Grid-Connected Power Converters with Reduced Calculation Burden 减少计算量的并网变流器多向量直接模型预测控制
Mohamed Abdelrahem, Faris Hamadto, Anath Garikapati, R. Kennel, José R. Rodríguez
{"title":"Multiple-Vector Direct Model Predictive Control for Grid-Connected Power Converters with Reduced Calculation Burden","authors":"Mohamed Abdelrahem, Faris Hamadto, Anath Garikapati, R. Kennel, José R. Rodríguez","doi":"10.1109/PRECEDE.2019.8753253","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753253","url":null,"abstract":"This paper proposes a multiple-vector direct model predictive control (MV-DMPC) scheme with reduced calculation burden for grid-connected power converters. The proposed control scheme is based on the discrete space vector modulation (DSVM) technique, where the real voltage vectors (VVs) of the converter are employed together with new virtual VVs to improve the steady-state performance of the proposed controller. Furthermore, in order to reduce the calculation burden of the proposed strategy, a deadbeat function is presented to directly compute the reference voltage vector from the demanded reference current/power. Then, the optimal real or virtual voltage vector is selected based on a certain cost function to apply in the next sampling instant. The performance of the proposed method is validated via simulation results and compared with that of the conventional DMPC and the well-known voltage oriented control (VOC) with proportional-integral (PI) controllers.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134482393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Servo Press Drive using Model Predictive Control of Motor Current 基于电机电流模型预测控制的伺服压力机驱动
Jianbo Gao, Qi Li, Qiwu Wang, Wenxue Jiang, R. Kennel
{"title":"Servo Press Drive using Model Predictive Control of Motor Current","authors":"Jianbo Gao, Qi Li, Qiwu Wang, Wenxue Jiang, R. Kennel","doi":"10.1109/PRECEDE.2019.8753200","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753200","url":null,"abstract":"Servo presses require accurate and fast response of driving torque from electric machines. To achieve higher metal forming performance, a model predictive control (MPC) algorithm has been implemented in the electric driver for current control in the presented study. Simulations and experiments have been carried out with MPC controller while proportional-integral (PI) controller of field oriented control (FOC) was used as comparison. The experiments have shown that MPC can produce fast and accurate current response, which leads to satisfactory trajectory following performances of major crank. It can be concluded that MPC is a solid alternative of traditional PI controller for motor drive of servo presses.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128672711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Advanced Control Strategies for Back-to-Back Power Converter PMSG Wind Turbine Systems 背靠背功率变换器PMSG风力发电系统的先进控制策略
Zhenbin Zhang, Zhufeng Cui, Zhenkun Zhang, R. Kennel, José R. Rodríguez
{"title":"Advanced Control Strategies for Back-to-Back Power Converter PMSG Wind Turbine Systems","authors":"Zhenbin Zhang, Zhufeng Cui, Zhenkun Zhang, R. Kennel, José R. Rodríguez","doi":"10.1109/PRECEDE.2019.8753366","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753366","url":null,"abstract":"With the increasing emphasis on environmental protection, renewable energy, especially wind power, accounts for an increasing proportion of power generation. For its higher reliability and efficiency, permanent magnet synchronous generator becomes a promising alternative. Control techniques play a very essential role in wind turbine systems. By now, many advanced control schemes have been discussed and employed to permanent magnet synchronous generator wind turbine systems. In this paper, four popular advanced control schemes, namely, field oriented control (FOC) and voltage oriented control (VOC), direct torque control (DTC) and direct power control (DPC), deadbeat control (DBC) and model predictive control (MPC), are presented. Their theories and performances are investigated and compared, which are confirmed with experimental data obtained at a lab constructed test bench.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128696194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Model Predictive Control with Common-Mode Voltage Reduction of an Inverter with Output LC Filter for Aircraft Application 飞机用带输出LC滤波器的逆变器共模降压模型预测控制
Lang Lang, Weiguo Liu, K. Shen, Dan Zhao
{"title":"Model Predictive Control with Common-Mode Voltage Reduction of an Inverter with Output LC Filter for Aircraft Application","authors":"Lang Lang, Weiguo Liu, K. Shen, Dan Zhao","doi":"10.1109/PRECEDE.2019.8753299","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753299","url":null,"abstract":"The magnitude of common mode (CM) voltage is an important indicator to measure the strength of electromagnetic interference (EMI). Model predictive control (MPC) receives significant attention for voltage source inverters (VSIs) with output LC filter in aircraft actuation applications. However, conventional MPC brings massive CM voltage. This paper proposes an improved MPC method with delay compensation for a three-phase inverter with LC output filter, considering the reduction of CM EMI. The proposed method avoids the use of zero voltage vectors, and optimizes the vector selection of the next period. Simulation results indicate that this method performs well in terms of output current and eliminates CM voltage.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116353466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Modulated Model Predictive Control of Two-Stage Matrix Converter for Reducing Common-mode Voltage 两级矩阵变换器降低共模电压的调制模型预测控制
Fengxiang Wang, Ningke Chen, Anjun Xia, José R. Rodríguez
{"title":"Modulated Model Predictive Control of Two-Stage Matrix Converter for Reducing Common-mode Voltage","authors":"Fengxiang Wang, Ningke Chen, Anjun Xia, José R. Rodríguez","doi":"10.1109/PRECEDE.2019.8753293","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753293","url":null,"abstract":"In this paper, a new kind method for two-stage matrix converter to reduce common-mode voltage (CMV) denoted as modulated model predictive control M2 PC is presented. This method combines model predictive control (MPC) and space vector modulate (SVM) with little hardware changing in general topology. The proposed method can reduce CMV influence effectively and high quality output waveforms with low distortion are obtained. In this paper, three new strategies of typical M2 PC for reducing CMV proposed and compared with that of MPC in simulation using Matlab/Simulink. A good simulation result demonstrates the effect of proposed method fore-mentioned.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"390 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115209195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
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