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

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Optimized parameter design method for wide-input-voltage LLC converter with frequency-based self-adapted magnetizing inductance 基于频率自适应磁化电感的宽输入电压LLC变换器参数优化设计方法
2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE) Pub Date : 2019-05-01 DOI: 10.1109/PRECEDE.2019.8753328
Jiazhe Chen, Liangzong He, Bing Cheng
{"title":"Optimized parameter design method for wide-input-voltage LLC converter with frequency-based self-adapted magnetizing inductance","authors":"Jiazhe Chen, Liangzong He, Bing Cheng","doi":"10.1109/PRECEDE.2019.8753328","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753328","url":null,"abstract":"The LLC resonant has drawn much attention for high efficiency. However, its wide-input-voltage efficiency still cannot meet the ever increasing requirements. This paper proposes a LLC converter with frequency-based self-adapted magnetizing inductance to improve the efficiency in wide input voltage range. In order to reduce design difficulty of transformer, two transformers are used as matrix transformer, which helps efficiency improvement as well. More importantly, a simplified method for parameter calculation is also proposed in the paper. The practicability of the proposed design method is analyzed and verified on a 1. $5kW, 160kHz$ experimental prototype.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"23 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":"125952395","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
Dynamic Cost Function Design of Finite-Control-Set Model Predictive Current Control for PMSM Drives 永磁同步电机有限控制集模型预测电流控制的动态代价函数设计
2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE) Pub Date : 2019-05-01 DOI: 10.1109/PRECEDE.2019.8753287
Zhe Chen, Wencong Tu, Liming Yan, Guangzhao Luo
{"title":"Dynamic Cost Function Design of Finite-Control-Set Model Predictive Current Control for PMSM Drives","authors":"Zhe Chen, Wencong Tu, Liming Yan, Guangzhao Luo","doi":"10.1109/PRECEDE.2019.8753287","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753287","url":null,"abstract":"One of the clear advantages of finite-control-set model predictive control (FCS-MPC) is that several control targets and constraints can be contained in a cost function. However, the traditional fixed weighting factors cannot make each term in cost function fully express their performance, especially during a dynamic process. This paper proposes an FCS-MPC with a dynamic cost function based on fuzzy rules. The speed error and its change are used for tuning weighting factors adaptively by fuzzy method. The membership functions and fuzzy decision rules are built. The proposed method can improve the dynamic response, and the switching frequency is optimized at the same time. The performance is demonstrated in both simulation and experiment.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"11 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":"126412881","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: 7
An Optimized Predictive Current Control for Induction Machines with A Parallel Cost Function 具有并联成本函数的感应电机优化预测电流控制
2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE) Pub Date : 2019-05-01 DOI: 10.1109/PRECEDE.2019.8753226
Fengxiang Wang, Kunkun Zuo, Anjun Xia, Zhenbin Zhang, Yongchang Zhang, José R. Rodríguez
{"title":"An Optimized Predictive Current Control for Induction Machines with A Parallel Cost Function","authors":"Fengxiang Wang, Kunkun Zuo, Anjun Xia, Zhenbin Zhang, Yongchang Zhang, José R. Rodríguez","doi":"10.1109/PRECEDE.2019.8753226","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753226","url":null,"abstract":"Based on the finite control set predictive current control, a parallel control strategy is proposed in this paper. According to the characteristic of current control in electric drive system, a new predictive current control algorithm, which designs two parallel cost functions to evaluate all possible voltage vectors and uses an adaptive selection strategy to select the optimal one, is formulated. In particular, this algorithm eliminates the monotonous weighting factor tuning work and achieves better control performance simultaneously. The effectiveness of proposed algorithm has been confirmed by experimental results in induction machine system.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"67 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":"122133731","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
EVV-based Predictive Speed Control for PMSM 基于evv的永磁同步电机预测转速控制
2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE) Pub Date : 2019-05-01 DOI: 10.1109/PRECEDE.2019.8753304
Yanwei Huang, S. Tang, Qingyuan Chen, Wenchao Huang, Shaobin Chen
{"title":"EVV-based Predictive Speed Control for PMSM","authors":"Yanwei Huang, S. Tang, Qingyuan Chen, Wenchao Huang, Shaobin Chen","doi":"10.1109/PRECEDE.2019.8753304","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753304","url":null,"abstract":"This paper proposes an improved predictive control strategy to regulate the speed for permanent magnet synchronous motor. Specifically, the motor model is discretized by Taylor series to obtain the expected voltage vector, and the new cost function is reconstructed with only voltage variables, which avoids weight-adjustment. The angle of expected voltage vector is obtained by Clark transformation to select the sector, whose voltage vectors are the candidate voltage vectors to reduce calculations. Finally, the optimal voltage vector is determined to switch the inverter by the minimum of the cost function among the candidate voltage vectors. Superior control performance is verified in experiments compared to conventional predictive speed control.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"97 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":"125842080","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
Research on MRSMC for Three-phase Grid-Connected Inverter 三相并网逆变器MRSMC研究
2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE) Pub Date : 2019-05-01 DOI: 10.1109/PRECEDE.2019.8753264
Qinjun Hu, Zhilin Zhang, Hua Liu, Liang Zhang
{"title":"Research on MRSMC for Three-phase Grid-Connected Inverter","authors":"Qinjun Hu, Zhilin Zhang, Hua Liu, Liang Zhang","doi":"10.1109/PRECEDE.2019.8753264","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753264","url":null,"abstract":"A model reference sliding mode control(MRSMC) is proposed for the three-phase grid-connected inverter. Firstly, the phase voltage and current of the grid are set as the objective function. The corresponding state equations can be derived for the grid voltage and current. Then, a feedforward control scheme is designed to achieve current decouple. Moreover, the Lyapunov stability theorem is used to verify the stability of the system with the decoupled control law. The effectiveness of the proposed method is verified by the simulated results.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"30 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":"124795252","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
Model Predictive Control of Permanent-Magnet Synchronous Motor with Disturbance Observer 带扰动观测器的永磁同步电机模型预测控制
2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE) Pub Date : 2019-05-01 DOI: 10.1109/PRECEDE.2019.8753245
Mengxue Zou, Shuang Wang, M. Liu, Kang Chen
{"title":"Model Predictive Control of Permanent-Magnet Synchronous Motor with Disturbance Observer","authors":"Mengxue Zou, Shuang Wang, M. Liu, Kang Chen","doi":"10.1109/PRECEDE.2019.8753245","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753245","url":null,"abstract":"Model predictive control (MPC) is a high-performance permanent magnet synchronous motor (PMSM) control system capable of handling constrained multi-objective optimization, while providing excellent dynamic response capability. However, the traditional MPC scheme is sensitive to the system model. Thus the Luenberger state observer is designed to survey the stator current and disturbance based on continuous control set MPC, and is applied to compensate and improve the current controller. This method verifies its validity and correctness by MATLAB simulation.","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":"129146785","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
A Hybrid Control Method Based on Model Predictive Control for Controlling the Rectifier Stage of Power Electronic Transformers 基于模型预测控制的电力电子变压器整流级混合控制方法
2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE) Pub Date : 2019-05-01 DOI: 10.1109/PRECEDE.2019.8753297
Peyman Haghgooyi, D. Khaburi, M. Khosravi, S. Heshmatian, José R. Rodríguez, Cristian Garcia Peñailillo
{"title":"A Hybrid Control Method Based on Model Predictive Control for Controlling the Rectifier Stage of Power Electronic Transformers","authors":"Peyman Haghgooyi, D. Khaburi, M. Khosravi, S. Heshmatian, José R. Rodríguez, Cristian Garcia Peñailillo","doi":"10.1109/PRECEDE.2019.8753297","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753297","url":null,"abstract":"In this paper, a hybrid control method for controlling the input stage of a power electronic transformer is proposed. The power electronic transformer in this work is in form of AC/DC which includes two stages of an input rectifier and a DC/DC step-down stage and is employed in different applications such as electrical trains. The method is proposed based on Model Predictive Control (MPC) approach with the aim of voltage balancing for the capacitors in rectifier stage as well as controlling the input power factor. The main advantages of the proposed method over other existing methods are simple algorithm, notable reduction in the computational burden compared to the conventional MPC method, and simultaneous control of input current, output voltage and power factor, all with satisfactory performance. The proper performance of the designed method is verified by simulation results.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"52 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":"117133781","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
Application of an Improved BP-AdaBoost Model in Semiconductor Quality Prediction 改进BP-AdaBoost模型在半导体质量预测中的应用
2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE) Pub Date : 2019-05-01 DOI: 10.1109/PRECEDE.2019.8753268
Liu Chang, Hua Rong
{"title":"Application of an Improved BP-AdaBoost Model in Semiconductor Quality Prediction","authors":"Liu Chang, Hua Rong","doi":"10.1109/PRECEDE.2019.8753268","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753268","url":null,"abstract":"The semiconductor production data is typically complex, nonlinear and high-dimension, and the traditional post-sampling quality inspection often have large errors and will bring the economic losses caused by defective products. Based on machine learning technologies, this research is aimed to establish the proper model to predict semiconductor quality in advance. Based on the requirements of actual production, the BP neural network and AdaBoost algorithm are combined, and a new BP-AdqBoost model is proposed after optimizing the AdaBoost algorithm. The data of LCD Monitor production was analyzed. Then the improved BP-AdqBoost model, BP neural network, and the unmodified BP-AdaBoost prediction results are compared by prediction accuracy and reliability. The comparison shows that the improved BP-AdqBoost model can not only improve the prediction accuracy, but also strengthen the prediction reliability, which would be useful to the practical semiconductor production.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"4 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":"132373057","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
Computationally Efficient Model Predictive Direct Power Control with Online Finite Set Model Inductance Estimation Technique for Grid-Connected Photovoltaic Inverters 基于在线有限集模型电感估计技术的并网光伏逆变器高效模型预测直接功率控制
2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE) Pub Date : 2019-05-01 DOI: 10.1109/PRECEDE.2019.8753263
I. Hammoud, Khaled A. Morsy, Mohamed Abdelrahem, R. Kennel
{"title":"Computationally Efficient Model Predictive Direct Power Control with Online Finite Set Model Inductance Estimation Technique for Grid-Connected Photovoltaic Inverters","authors":"I. Hammoud, Khaled A. Morsy, Mohamed Abdelrahem, R. Kennel","doi":"10.1109/PRECEDE.2019.8753263","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753263","url":null,"abstract":"Model predictive direct power control (MP-DPC) is considered as a convenient control approach for grid-connected inverters, as it eliminates the need for internal control loops and external modulators. In this paper, a computationally efficient MP-DPC scheme is presented, which overcomes the main drawback of the traditional scheme by reducing the calculation burden. Based on the values of the reference and actual power, the reference voltage vector of the inverter can be calculated. By locating this reference voltage vector in the $alpha - beta$ reference frame, only three iterations are required. Hence, the cost function is optimized with a reduced calculation load. The dynamic behavior of the computationally efficient MP-DPC, traditional MP-DPC, and lookup table direct power control (LT-DPC) for grid-connected photovoltaic inverters is compared by simulation results. Furthermore, a novel online inductance estimation technique is proposed to enhance the robustness of the control scheme against any inductance variation.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"72 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":"132193078","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
Efficient Finite-Position-Set MRAS Observer for Encoder-less Control of DFIGs dfig无编码器控制的高效有限位置集MRAS观测器
2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE) Pub Date : 2019-05-01 DOI: 10.1109/PRECEDE.2019.8753265
Mohamed Abdelrahem, R. Kennel, C. Hackl, M. Dal, José R. Rodríguez
{"title":"Efficient Finite-Position-Set MRAS Observer for Encoder-less Control of DFIGs","authors":"Mohamed Abdelrahem, R. Kennel, C. Hackl, M. Dal, José R. Rodríguez","doi":"10.1109/PRECEDE.2019.8753265","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753265","url":null,"abstract":"This work introduces an efficient finite-position-set model-reference adaptive system (FPS-MRAS) estimator for sensor-less control of a doubly fed induction generator (DFIG) in a variable speed wind energy conversion system (WECS). The idea of the proposed FPS-MRAS is derived from the finite-control-set model predictive control (FCS-MPC) principle, i.e. a limited set of angles for the rotor position are employed to predict the rotor current of the DFIG. Subsequently, the optimal angle for the rotor position is the one that its prediction optimizes a pre-defined (novel) quality function. Accordingly, the constant-gain proportional-integral (CG-PI) regulator and its tedious tuning which is normally used in MRAS observers is not required. The estimation response of the suggested FPS-MRAS observer is investigated by experiments and compared with the performance of the classical MRAS under different operation conditions and at variations of the DFIG parameters.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"81 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":"126884772","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: 7
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