{"title":"Model Predictive Direct Torque Control of Surface PMSM System Based on Basic Voltage Vector of VSI","authors":"Yao-hua Li, Qidong Yang, Jiayue Ren","doi":"10.1109/PRECEDE.2019.8753345","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753345","url":null,"abstract":"In this paper model predictive direct torque control (MP-DTC) for surface permanent magnet synchronous motor (PMSM) direct torque control (DTC) system is proposed. Based on flux and torque's expressions of surface PMSM in stator flux reference frame, 6 basic voltage vectors generated by voltage source inverter (VSI) are used as candidate voltage vectors. And according to values of stator flux and torque at next sampling point after applying these 6 voltage vector, 6 different values of cost function about stator flux and torque's error are obtained. The predictive control will select voltage vector corresponding to the minimum cost function as output voltage vector. And in order to reduce the computational burden, based on the utilization rate of 6 voltage vectors, the predictive control using simplified aggregate of candidate voltage vectors is given. Simulation results show compared with switching table, control performance of predictive control is better. And compared with predictive control using 6 basic voltage vectors, the proposed predictive control has almost the same control performance, but switching frequency is decreased and calculation burden is also reduced.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"42 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":"115017614","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}
{"title":"An Model Predictive Control with Duty Cycle Control for PWM Rectifier","authors":"Zhihuang Ruan, Wenxiang Song, Hongmin Lin","doi":"10.1109/PRECEDE.2019.8753361","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753361","url":null,"abstract":"Model predictive control (MPC) is an optimal control method which has been widely concerned in the field of AC motor control and power electronics converter in recent years. This paper presents a model prediction control with duty cycle control for PWM rectifier. In a control cycle, traditional single vector is replaced by a zero vector and a non-zero vector, and the two switch sequences operate in sequence, it improves the precision of voltage vector selection. The simulation results show that the proposed method effectively reduces the current distortion and DC bus voltage ripple compared with the traditional MPC.","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":"115708500","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}
M. Elmorshedy, W. Xu, Yi Liu, S. M. Allam, Minghai Dong
{"title":"Speed Control of Linear Induction Motor based on Finite-Set Model Predictive Direct Flux Control","authors":"M. Elmorshedy, W. Xu, Yi Liu, S. M. Allam, Minghai Dong","doi":"10.1109/PRECEDE.2019.8753329","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753329","url":null,"abstract":"This paper proposes a speed control of linear induction motor (LIM) based on a finite-set model predictive flux control (FS-MPFC). The end effect is taken into consideration for both modeling of LIM and for the proposed control method. The proposed control method is used to achieve lower thrust ripple, reduce the calculation process and eliminating the weighting factor from the cost function. The cost function is based only on the primary flux linkage error in αβ-coordinates. The primary flux linkage error is calculated from the difference between the reference primary flux linkage and the predicted primary flux linkage. A comparison between the proposed method and the finite set model predictive direct thrust control (FS-MPDTC) is presented to illustrate the simplicity of the proposed method. The performance of the proposed control strategy is verified by simulation results where the parameters of a 3kW platform arc induction machine is used.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"92 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":"125534345","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}
Long Chen, Su-Dan Huang, Jin-Chang Guo, Zhi-Yong Hu, Xing-Dong Fu, G. Cao
{"title":"Model Predictive Position Control for a Planar Switched Reluctance Motor Using Parametric Regression Model","authors":"Long Chen, Su-Dan Huang, Jin-Chang Guo, Zhi-Yong Hu, Xing-Dong Fu, G. Cao","doi":"10.1109/PRECEDE.2019.8753322","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753322","url":null,"abstract":"A model predictive position control (MPPC) method based on a parametric regression model is proposed in this paper, to achieve high-precision positioning for a planar switched reluctance motor (PSRM) developed in the laboratory. First, the mechanism model of the PSRM system represented by a discrete-time state space model is given. To reduce modeling error caused by the uncertainty, a two-order parametric regression model is then used to describe the PSRM. With the thrust force input signal and the position output signal, the parameters of this model are obtained by using a recursive least squares method with forgetting factor. Based on the built model, a predictive model is established to predict the future position. By defining a cost function, an optimized control action sequence is obtained with the predictive model. Additionally, a comparison is performed experimentally. The experimental results verify the effectiveness of the proposed MPPC for high-precision positioning.","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":"127723870","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}
{"title":"Simplified Model Predictive Torque Control for Permanent Magnet Synchronous Motor in Static Coordinate System","authors":"Shanfeng Zhu, Wenxin Huang, Xiaogang Lin, Wen-xue Jiang, Dingfeng Dong, Xu Wu","doi":"10.1109/PRECEDE.2019.8753244","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753244","url":null,"abstract":"The traditional model predictive torque control (MPTC) for permanent magnet synchronous motor (PMSM) utilizes the voltage equation in the rotor synchronous rotating coordinate system to predict the values of the next control period. Multiple coordinate rotation transformations with large number of calculations are required. Besides, the current model flux observer is utilized, which is easily affected by the motor parameters. In order to solve these problems, a simplified MPTC is proposed in this paper. The corresponding variable values of the next control period are directly predicted in the static coordinate system, thus the computational burden is significantly reduced. In addition, the proposed strategy is easy to combine with other high-performance stator flux observer techniques to further improve system performance. The experiment verifies the feasibility and effectiveness of the proposed strategy.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"24 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":"133633944","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}
{"title":"Improved robust Deadbeat Predictive Current Control for PMSM Using Stator Current and Disturbance Observation","authors":"M. Liu, Shuang Wang, Mengxue Zou","doi":"10.1109/PRECEDE.2019.8753357","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753357","url":null,"abstract":"An improved robust predictive current control algorithm with observation compensation of current and disturbance is proposed in this paper. Theoretically, the predictive current control with robustness for permanent magnet synchronous motor (PMSM) possesses excellent control performance. However, the problems of discrete sampling delay and time-varying electromagnetic parameters in practical systems seriously degrade the control quality of model-based predictive current controller. A Luenberger state observer is designed to observe and compensate the stator current error and parameter disturbances, and improve the conventional deadbeat predictive current control. The effectiveness of the proposed algorithm has been verified by the simulation result.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"118 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132227940","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}
{"title":"Fast Response Deadbeat Current Control for PMSM","authors":"Haoran Qin, M. Dou, Yuanlin Wang, Liming Yan","doi":"10.1109/PRECEDE.2019.8753237","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753237","url":null,"abstract":"Deadbeat Current Control (DCC) is an inverse-model based solution for Permanent Magnet Synchronous Motor (PMSM). The desired voltage vector is calculated by the current references. Thus, the command currents can be achieved by the end of each control period. DCC has the advantages of precise current tracking, constant switching frequency, non-overshoot, etc. However, if the desired current is physically infeasible to be obtained in one sampling period, it is a big challenge for DCC to select the best voltage vector to achieve the fastest current response. To deal with this problem, a novel technique is proposed in this paper. The best trajectory from the initial state to the reference is planned by using time-optimal algorithm. Along the best trajectory, the PMSM can reach the command currents in the minimum-time. The effectiveness of the proposed method is verified by simulation","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"25 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":"132570809","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}
Chen Qi, Zhengying Lang, Lijuan Su, Xiyou Chen, Han Miao
{"title":"Model Predictive Control for a Bidirectional Wireless Power Transfer System With Maximum Efficiency Point Tracking","authors":"Chen Qi, Zhengying Lang, Lijuan Su, Xiyou Chen, Han Miao","doi":"10.1109/PRECEDE.2019.8753203","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753203","url":null,"abstract":"This paper proposed a novel continuous-control-set model predictive control (CCS-MPC) method with power flow control and maximum efficiency point tracking (MEPT) for a bidirectional wireless power transfer (BWPT) system in electric vehicle (EV) applications. The proposed method use a resonant circuit model to predict the optimal control degrees of freedom. In comparison with widely-used PI controller, the proposed method has a much faster dynamic response. In comparison with the existing CCS-MPC method, the proposed method has an increased system efficiency.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"22 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":"123229607","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}
{"title":"Improved Efficiency of a PMSM Drive with Model Predictive Control","authors":"Junshuo Chen, Ying Zhang, Xin Hu, Yanning Zhang","doi":"10.1109/PRECEDE.2019.8753342","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753342","url":null,"abstract":"This paper presents a novel model predictive control method to minimize the loss of a permanent magnet synchronous motor (PMSM). Since not all losses of the PMSM are controllable, the model of the PMSM taking into account the core loss is considered. The total controllable electrical losses including core loss and copper loss can be expressed in the model. Further, the optimal current reference, which minimize these losses, is determined by the loss minimization algorithm. In order to select the suitable voltage vector making current of the PMSM track the reference value, the cost function is designed. Moreover, the performance of the proposed method is validated on a 2.2 $kW$ PMSM drive system under different state. The simulation results show that the losses is reduced with the proposed method.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"31 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":"124835526","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}
Sebastian Wendel, P. Karamanakos, A. Dietz, R. Kennel
{"title":"Operating Point Dependent Variable Switching Point Predictive Current Control for PMSM Drives","authors":"Sebastian Wendel, P. Karamanakos, A. Dietz, R. Kennel","doi":"10.1109/PRECEDE.2019.8753362","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753362","url":null,"abstract":"This contribution presents a direct model predictive current control approach that achieves favorable performance during transients while minimizing the torque and current ripples at steady-state operation by increasing the granularity at which switching can be performed. To meet the control goals, an optimization problem is solved in real-time that decides whether only one discrete voltage space vector or a combination of two is selected. In the latter case, a variable switching point, i.e., a time instant within the control interval at which the converter switches change state, is computed. The proposed method is advantageous, e.g., for electric drives in machine tools, in which, depending on the operating point, fast dynamics and a low torque ripple are important. The approach is evaluated at the example of a two-level voltage source inverter driving a permanent magnet synchronous machine.","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":"116227658","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}