{"title":"[Copyright notice]","authors":"","doi":"10.1109/precede.2019.8753323","DOIUrl":"https://doi.org/10.1109/precede.2019.8753323","url":null,"abstract":"","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":"126586853","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":"The model predictive control strategy for DFIG on subsynchronous oscillation suppression","authors":"Xiang Gao, Z. Xie, Xing Zhang, Shuying Yang","doi":"10.1109/PRECEDE.2019.8753356","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753356","url":null,"abstract":"For the high-power and low-switching-frequency converter applied in wind power, the traditional PI (Proportion Integration) based control strategies have insuperable drawbacks in the issue of the subsynchronous oscillation for the doubly-fed induction generator (DFIG). Based on the necessary mechanism analysis, the adoption of a new strategy, which means the model prediction strategy in this paper, is designed for the rotor subsynchronous current control considering its advantages of suppressing the subsynchronous oscillation, reducing the converter switching frequency and multi-objective optimization ability. In addition, the proposed strategy can effectively improve the dynamic characteristics of DFIG system because PI regulators are eliminated then.","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":"116081423","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}
Yanqing Zhang, Zhonggang Yin, Wei Li, Xiangqian Tong, Y. Zhong
{"title":"Speed Sensorless Model Predictive Control Based on Disturbance Observer for Induction Motor Drives","authors":"Yanqing Zhang, Zhonggang Yin, Wei Li, Xiangqian Tong, Y. Zhong","doi":"10.1109/PRECEDE.2019.8753236","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753236","url":null,"abstract":"Model predictive control (MPC) is emerging as a powerful control scheme for high performance control of induction motor (IM) drives due to its fast torque response. In this paper, a full-order observer-based speed sensorless MPC method is studied. However, in conventional MPC design, the torque reference in the cost function is generated by the proportional-integral (PI) speed controller, thus the torque reference’s generation rate is not fast and its accuracy is low especially when the load torque is given suddenly and the inertia value is varying. This paper investigates a speed sensorless model predictive control based on disturbance observer (DOB) for induction motor drives. The disturbance observer is used as the feed-forward compensation part for the PI controller, and it not only improves the torque reference’s rate, but also enhances the robustness against load disturbance and inertia variations. The simulation results verified the effectiveness of the proposed method.","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":"122665036","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":"Predictive Control of Back-to-Back Converters with DC-Link Capacitance Minimization","authors":"F. Grimm, Yu Li, Xiao-Dong Liu, Zhenbin Zhang","doi":"10.1109/PRECEDE.2019.8753202","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753202","url":null,"abstract":"In this paper, we propose a predictive control algorithm for back-to-back converters that is robust to low DC-link capacitance. To achieve this goal, an additional control objective, i.e., the charging of the DC-link capacitor within each sampling period, is included in the cost function to penalize the DC-link voltage ripple. In this way, a global optimized switching state is obtained and the good performances are illustrated with small DC-link capacitance in both transients and steady state. Simulation results confirm the effectiveness of the proposed method for both, high and low DC-link capacitance.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"20 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":"129303635","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 accuracy of model predictive control of Induction motor drive using FPGA","authors":"Š. Janouš, T. Kosan, J. Talla, Z. Peroutka","doi":"10.1109/PRECEDE.2019.8753242","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753242","url":null,"abstract":"Finite control set model predictive control (FCS-MPC) is one of successful model predictive control approaches in electric drives which offers effective solution to multi variable multi criteria problems. The optimal control is found by “brute force” search over the limited set of possible control actions. Due to a discrete nature of power converters FCS-MPC is particularly well suited for use in electric drives. The performance of the control is closely related to accuracy of the model of controlled system. Conventional way of modeling electric drives is to include only simple model of the converter with ideal components with no voltage drops or effect of dead times. This simple mathematical converter description is computationally cheap enough to be implemented by conventional control hardware. On the other hand, the accuracy of the prediction is limited which may negatively impact the performance of the control. In this paper, we propose to design detailed mathematical model of the drive including the mathematical description of the inverter which allows us to address the problems associated with dead times and semiconductor voltage drops. Modeling those inverter non-linear effects can enhance the control accuracy especially in non-nominal drive conditions (e.g. low speeds). On the other hand the computational requirements increases. We propose to use FPGA to implement the control algorithm using fixed-point arithmetics with high level of pipelining resulting in very fast execution times while keeping FPGA resources low. The performance of proposed solution is verified by simulations and experiments on the laboratory prototype of induction motor drive.","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":"117111123","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}
Wencong Tu, Zhe Chen, P. He, Guangzhao Luo, L. Cui
{"title":"Two-time Scale Optimized Model Predictive Cascaded Speed and Current Control for PMSM Drives","authors":"Wencong Tu, Zhe Chen, P. He, Guangzhao Luo, L. Cui","doi":"10.1109/PRECEDE.2019.8753325","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753325","url":null,"abstract":"This paper proposes the two-time scale optimized model predictive speed and current control with for permanent magnet synchronous motor (PMSM). The specific sampling time are assigned to the speed control and current control subsystems respectively based on the characteristics of time scale for different subsystems. The prediction sequence of slow-sampling model during asynchronous sampling period remains the holding state in the conventional model predictive process, which weaken the dynamic performance of system. This paper proposes an estimation method by conducting linear function based on the virtual instants to further improve the predictive accuracy at asynchronous sampling instants. Compared to the conventional method, the improvement of proposed strategy is verified in simulation and experiment.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"33 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":"116134736","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}
A. Anuchin, D. Aliamkin, M. Lashkevich, V. Podzorova, L. Aarniovuori, R. Kennel
{"title":"Model Predictive Control with Reduced Integration Step Size for Continuous Control of an IPM Motor","authors":"A. Anuchin, D. Aliamkin, M. Lashkevich, V. Podzorova, L. Aarniovuori, R. Kennel","doi":"10.1109/PRECEDE.2019.8753231","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753231","url":null,"abstract":"This paper presents an approach to continuous control set model predictive control, which uses reduced integration step size. The reduced integration step size allows to obtain a stream of finite control set, which can be filtered in order to obtain continuous control set. The Sinc-filter can be used to obtain improved accuracy of the voltage references. This approach is suitable for the motors with the high nonlinearity of the magnetization curve, which can be taken into account. The simulation results are presented in case of interior permanent magnet motor.","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":"128168485","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":"Robust Model Predictive Direct Speed Control for SPMSM Drives Based on Full Parameters and Load Observer","authors":"Xiaoguang Zhang, Yikang He","doi":"10.1109/PRECEDE.2019.8753314","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753314","url":null,"abstract":"a robust model-predictive direct-speed control based on full parameters and load observer (MP-DSC+FPLO) for the surface-mounted permanent-magnet synchronous motor (SPMSM) drives is proposed in this paper. Firstly, MP-DSC based on direct voltage-selection cost function is introduced. Then, a sliding-model full parameters and load observer (FPLO) that can simultaneously estimate electrical parameter, mechanical parameter, motor speed and load torque is proposed. Thus, the load torque observer in conventional MP-DSC method is eliminated. Finally the output of the proposed FPLO is used to compensate the predicted reference voltage. The simulation and experimental results show that the proposed method is robust to the disturbances of parameters and loads.","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":"133747182","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}
Zhiguo Wang, Zedong Zheng, Yongdong Li, Jiawei Sun, Zhichang Deng
{"title":"A robust offset-free model predictive current control for induction motor based on incremental model and incremental current observer","authors":"Zhiguo Wang, Zedong Zheng, Yongdong Li, Jiawei Sun, Zhichang Deng","doi":"10.1109/PRECEDE.2019.8753363","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753363","url":null,"abstract":"Despite the huge progress of model predictive control (MPC) for electrical drives that has taken place over the last few years, there are still some issues that require further study, such as robustness, steady-state performance, and tracking error reduction. This paper proposed a robust offset-free model predictive current control (ROF-MPCC) for induction motor. The proposed ROF-MPCC applies incremental model and incremental current observer to achieve offset-free prediction and time-delay compensation. ROF-MPCC has good robustness to the rotor flux and model parameters, and can eliminate the steady-state error in control. Experimental results demonstrate that ROF-MPCC has good stead-state and dynamic performance.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"43 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":"133244867","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":"Model Predictive Current Control in the Stationary Coordinate System for a Three-Phase Induction Motor Fed by a Two-Level Inverter","authors":"Yaru Xue, Dongyi Meng, Zhen Zhao, Leiting Zhao, Li-jun Diao","doi":"10.1109/PRECEDE.2019.8753381","DOIUrl":"https://doi.org/10.1109/PRECEDE.2019.8753381","url":null,"abstract":"Model predictive current control (MPCC) has been a research hotspot due to its simple control structure in the motor control field. However, the MPCC based on field orientation in synchronous rotation coordinate system needs the synchronization angle calculation and field orientation, which leads to a series of park coordinate transformations. Besides, its actual control process is affected by the magnetic field orientation accuracy. In this paper, the MPCC based on a dual-boundary circle strategy in the two-phase stationary coordinate system is proposed, which can reduce the times of park coordinate transformation and results in a low computational burden. Compared with the single-boundary circle strategy, dual-boundary circle strategy can realize a better dynamic control performance and a lower current harmonic content of the motor system. Moreover, low switching frequency is also a critical performance target, especially in the high-power motor control system. So weighing factor is introduced to the cost function and is used to balance the control performance between switching frequency and current tracking. Based on the proper weighing factor and inner radius and outer radius of dual-boundary circle, the control performance of the strategy proposed is verified on the simulation platform of a 160kW induction motor control system.","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":"131005606","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}