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

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Comparison of state-of-the-art estimators for electrical parameter identification of PMSM 永磁同步电机电气参数辨识方法的比较
Xinyue Li, R. Kennel
{"title":"Comparison of state-of-the-art estimators for electrical parameter identification of PMSM","authors":"Xinyue Li, R. Kennel","doi":"10.1109/PRECEDE.2019.8753197","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753197","url":null,"abstract":"In this paper, four state-of-the-art online estimation approaches, i.e. recursive least square (RLS) approach, model reference adaptive system (MRAS), extended Kalman filter (EKF) and unscented Kalman filter (UKF) for parameter identification of permanent magnet synchronous machines (PMSM) are implemented and compared. Moreover, a promising estimation method, the moving horizon estimator (MHE), is also investigated. The performance comparison is conducted with simulations and experiments under various scenarios on a permanent magnet synchronous motor among these five techniques.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"39 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":"127150914","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: 13
Improved Parameter Identification and Control Strategy of Pitch Motor in Wind Turbine System 改进的风力发电系统变距电机参数辨识及控制策略
Xiangiie Xie, Hui Li, Guisen Xia, Ran Yao, Zhaosen Chai, Xingzhong Liu
{"title":"Improved Parameter Identification and Control Strategy of Pitch Motor in Wind Turbine System","authors":"Xiangiie Xie, Hui Li, Guisen Xia, Ran Yao, Zhaosen Chai, Xingzhong Liu","doi":"10.1109/PRECEDE.2019.8753351","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753351","url":null,"abstract":"Variable load and rotor time constant Tr in pitch motor may lead to low robustness of pitch control system. Therefore, an improved Tr identification method and control strategy were presented. Firstly, based on flux estimator in pitch control system, the influences of motor parameters on flux were analyzed using Frequency Response Functions (FRF), which could derive the dominant parameter. Secondly, based on the Model Reference Adaptive System (MRAS), the initial value of identification was treated as the compensation term to weaken the effect of variable motor speeds and load torques, then the pitch control strategy with this improved MRAS-based identification for Tr in wind turbine system were developed. Finally, simulation and prototype test of pitch motor control system were carried out. The results have validated that Tr has a prominent impact on the pitch control system, the improved identification model and control strategy considering online identification would be more robust.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"49 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":"125946131","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
Encoderless Predictive Flux Control of Three-level NPC Converter-fed Induction Motor with SMO 带SMO的三电平NPC变馈感应电机无编码器预测磁链控制
Xiao-Dong Liu, Zhenbin Zhang, Weiqing Huang, R. Kennel, C. Garcia, José R. Rodríguez, Fengxiang Wang, M. Kazmierkowski
{"title":"Encoderless Predictive Flux Control of Three-level NPC Converter-fed Induction Motor with SMO","authors":"Xiao-Dong Liu, Zhenbin Zhang, Weiqing Huang, R. Kennel, C. Garcia, José R. Rodríguez, Fengxiang Wang, M. Kazmierkowski","doi":"10.1109/PRECEDE.2019.8753261","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753261","url":null,"abstract":"In this work, we proposed an encoderless finite control set predictive flux control (FCS-PFC) method for an induction motor (IM) fed by a three-level neutral-point clamped (3L-NPC) power converter. The FSC-PFC employs stator flux vector as control objective to eliminate the weighting factor(s) between torque and flux commonly used in the predictive torque control (PTC) approach. An improved sliding-mode observer (SMO) is applied to achieve encoder-less control, where the feedback speed signal is not necessary, which is novel add-on to the state-of-the-art solutions. Simulation and experimental results verify the effectiveness of the proposed encoderless PFC method.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"136 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":"122038806","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
A Virtual Voltage Vectors Based Model Predictive Current Control to Reduce Common-Mode Voltage for Five-Phase Voltage Source Inverters 基于虚电压矢量的五相电压源逆变器共模电压预测控制
Bin Yu, Wensheng Song, Jiaxu Feng
{"title":"A Virtual Voltage Vectors Based Model Predictive Current Control to Reduce Common-Mode Voltage for Five-Phase Voltage Source Inverters","authors":"Bin Yu, Wensheng Song, Jiaxu Feng","doi":"10.1109/PRECEDE.2019.8753241","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753241","url":null,"abstract":"The five-phase voltage source inverters (VSIs) have drawn more and more attention in the recent years, and required the extension of control schemes already well known for three-phase voltage source inverters. Nevertheless, the low-order harmonic currents suppression is a special issue of control methods for five-phase VSIs with the common-mode voltage (CMV) still remaining to be reduced. Model predictive current control (MPCC) method has been developed as a widespread and effective control technique in power electronics, especially for multiple constraints system, and has been applied to five-phase VSIs with the consideration of low-order harmonic currents suppression and CMV reduction, simultaneously. However, the complex cost function and huge computation amount in the existing works become another deficiency, and the weighting factors of different components in the cost function is difficult to adjust. In this paper, a new MPCC method based on virtual voltage vectors has been proposed for five-phase VSIs. The zero and medium voltage vectors have been eliminated and by this way the CMV can be reduced by 80%. Then, following the volt-second balance law, ten active virtual voltage vectors and active zero vectors are synthesized to acquire zero volt-second value in x-y subspace, as a consequence, low-order harmonic currents are suppressed. Finally, a simplified cost function without weighting factor is adopted. Simulation and experimental results have verified that the proposed MPCC method can reduce CMV by 80% and suppress low-order harmonic currents successfully.","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":"129946328","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
Predictive Control of Multi-Level Single Phase Microinverter 多级单相微型逆变器的预测控制
E. Abdeen, M. Gaafar, M. Orabi, Fengxiang Wang
{"title":"Predictive Control of Multi-Level Single Phase Microinverter","authors":"E. Abdeen, M. Gaafar, M. Orabi, Fengxiang Wang","doi":"10.1109/PRECEDE.2019.8753285","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753285","url":null,"abstract":"this paper presents a model predictive control (MPC) system for multi-level microinverter operated for the applications of module-based Photovoltaic (PV) configurations. A microinverter topology consists of switched capacitor (SC) networks, boost converter and single-phase inverter; all are integrated in one power stage and connected to single PV module. In this paper, a model predictive control system is introduced to reduce the steady state error of the grid-injected current and assure harvesting the maximum power from the PV module. In addition to enhance the response time during the transient condition and reduce the total harmonic distortion (THD) without using any modulation schemes. The proposed control on the multilevel microinverter topology is verified using MATLAB-Simulink and OPAL-RT LAB tools.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"85 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":"121485996","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
Model Predictive Control of Grid Side Converter in The Weak Grid 弱电网中电网侧变换器的模型预测控制
Liang Chen, Dan Sun, Yunyang Xu, H. Nian, Yue Fan
{"title":"Model Predictive Control of Grid Side Converter in The Weak Grid","authors":"Liang Chen, Dan Sun, Yunyang Xu, H. Nian, Yue Fan","doi":"10.1109/PRECEDE.2019.8753234","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753234","url":null,"abstract":"The grid side converter (GSC) needs proper controller design when connected to the weak grid, otherwise it becomes unstable due to the overlook of grid impedance dynamic. Although the phase locked loop (PLL) will cause the instability of the interconnected system that consists of GSC and inductive grid due to its negative damping characteristic, the improper current controller design will also contribute to the instability due to the lagging effect of its integral controller. In this paper, GSC controlled by the current controller based on model predictive control (MPC) strategy is investigated under the weak grid. The results show the impedance of GSC near fundamental frequency applying the MPC current controller has a higher amplitude than applying the conventional control strategy with PI current controller, which benefits the stability of the interconnected system that consists of GSC and weak grid. Simulations are carried out to verify the effectiveness of MPC current controller in the weak grid.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"14 9-10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132365545","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
An Active Clamping Strategy for Class-E Inverter in Wireless Power Transfer System 无线输电系统中e类逆变器的有源箝位策略
Guo Dong, He Liangzong, Cheng Bing, G. Han
{"title":"An Active Clamping Strategy for Class-E Inverter in Wireless Power Transfer System","authors":"Guo Dong, He Liangzong, Cheng Bing, G. Han","doi":"10.1109/PRECEDE.2019.8753282","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753282","url":null,"abstract":"Class-E inverter is a potential candidate for high-frequency WPT system due to its soft switching feature. However, because of the voltage stress on the switch, the output power is seriously restricted. To solve this problem, this paper proposes an active clamping class-E amplifier, in which a large capacitance and a MOSFET connected in series are added on the both ends of the shunt capacitance in traditional class-E inverter. The additional MOSFET is control by a voltage detection circuit which detects the voltage on the shunt capacitance in real time. Corresponding strategy is verified on a wireless power transfer platform.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"18 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":"132392334","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
Voltage Utilization Enhancement of Dual Inverters by Model Predictive Control for Motor Drive Applications 用模型预测控制提高双逆变器的电压利用率
Zhen Huang, Tao Yang, P. Giangrande, M. Galea, C. Garcia, M. Rivera, P. Wheeler, José R. Rodríguez
{"title":"Voltage Utilization Enhancement of Dual Inverters by Model Predictive Control for Motor Drive Applications","authors":"Zhen Huang, Tao Yang, P. Giangrande, M. Galea, C. Garcia, M. Rivera, P. Wheeler, José R. Rodríguez","doi":"10.1109/PRECEDE.2019.8753341","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753341","url":null,"abstract":"This paper proposes a model predictive control (MPC) method to improve the voltage utilization of dual inverters compared to utilizing previously addressed techniques. The enhancement can reach up to 10% and this benefit has been through simulations on an open-end winding induction motor.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"44 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":"132883010","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
Load Angle Limitation for PMSMs with Sequential Model Predictive Direct Torque Control 时序模型预测直接转矩控制的永磁同步电机负载角限制
Kai Zhang, Mingdi Fan, Yong Yang, Liqun He, Xiaohui Li
{"title":"Load Angle Limitation for PMSMs with Sequential Model Predictive Direct Torque Control","authors":"Kai Zhang, Mingdi Fan, Yong Yang, Liqun He, Xiaohui Li","doi":"10.1109/PRECEDE.2019.8753191","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753191","url":null,"abstract":"This paper presents a new simplified load angle limitation method for permanent magnet synchronous motors. The method is based on model predictive direct torque control and uses sequential cost functions for the load angle limitation, the torque and the flux respectively. The proposed control strategy possesses some attractive features, such as notable computational simplification, no weighting factors in the cost functions and fast dynamic behavior. Simulation results obtained using a permanent magnet synchronous motor demonstrate the effectiveness of the proposed control scheme.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"48 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":"115115970","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
DOB-Based Generalized Predictive Cross-Coupling Position Control for Biaxial System 基于dob的双轴系统广义预测交叉耦合位置控制
Jiaxiu Cai, Shihua Li, Jianwei Gui
{"title":"DOB-Based Generalized Predictive Cross-Coupling Position Control for Biaxial System","authors":"Jiaxiu Cai, Shihua Li, Jianwei Gui","doi":"10.1109/PRECEDE.2019.8753296","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753296","url":null,"abstract":"In order to optimize the control performance of the biaxial systems, the generalized predictive cross coupling control (GPCCC) strategy is introduced with the concept of a unified model in biaxial systems. GPCCC control design consists of two processes. First, generalized prediction algorithm is applied to the unified model of the two permanent magnet synchronous motors (PMSM), according to the known trajectory of multi-step prediction, rolling optimization and feedback correction to improve the accuracy of biaxial control. Then, the contour error adopts cross-coupling structure which can be the feedback quantity, as the extra correction of generalized predictive control structure. However, it reflects that the GPCCC control design does not consider the influence of disturbances and uncertainties. Therefore, a composite GPCCC method is proposed by embedding the disturbance observer (DOB) into the output prediction process to estimate the lumped disturbances. The simulation results demonstrate the high accuracy and the robustness for tracking performance of the proposed method in the biaxial system.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"120 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":"117271207","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
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