Pub Date : 2015-10-01DOI: 10.1109/PRECEDE.2015.7395581
V. Šmídl, Š. Janouš, Z. Peroutka
Finite control set model predictive control (FCS-MPC) has been shown to be a very effective approach to control of power electronics and ac drives. It can address even demanding tasks such as frequency shaping of the current spectrum. However, its accuracy is limited by one-step ahead optimization of the cost function, neglecting long-term consequences of the control action. LQ lookahead is a technique of approximate dynamic programming that designs an approximation of the optimal cost-to-go function that is added as an additive term to the FCS-MPC cost function. We study the effect of this technique on the problem of frequency spectrum shaping of a three-phase voltage source inverter with RL load. We demonstrate in simulation and laboratory experiment that the proposed LQ lookahead approach offer a better compromise between spectrum shaping and current tracking error.
{"title":"Frequency spectrum shaping using finite control set MPC with LQ lookahead","authors":"V. Šmídl, Š. Janouš, Z. Peroutka","doi":"10.1109/PRECEDE.2015.7395581","DOIUrl":"https://doi.org/10.1109/PRECEDE.2015.7395581","url":null,"abstract":"Finite control set model predictive control (FCS-MPC) has been shown to be a very effective approach to control of power electronics and ac drives. It can address even demanding tasks such as frequency shaping of the current spectrum. However, its accuracy is limited by one-step ahead optimization of the cost function, neglecting long-term consequences of the control action. LQ lookahead is a technique of approximate dynamic programming that designs an approximation of the optimal cost-to-go function that is added as an additive term to the FCS-MPC cost function. We study the effect of this technique on the problem of frequency spectrum shaping of a three-phase voltage source inverter with RL load. We demonstrate in simulation and laboratory experiment that the proposed LQ lookahead approach offer a better compromise between spectrum shaping and current tracking error.","PeriodicalId":271130,"journal":{"name":"2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115202928","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}
Pub Date : 2015-10-01DOI: 10.1109/PRECEDE.2015.7395582
R. Aguilera, Yifan Yu, P. Acuña, G. Konstantinou, C. Townsend, Bin Wu, V. Agelidis
This work proposes a Model Predictive Control (MPC) strategy for Cascaded H-Bridge (CHB) converters under unbalanced power generation among each converter phase. Therefore, the control target is to extract unbalanced power from the dc-sources while providing balanced power to the grid. The key novelty of this proposal lies in the way the unbalanced power generation issue is explicitly considered into the optimal control problem. The power balance is achieved by enforcing the CHB to work with a suitable zero voltage components. Thus, to account for the common-mode voltage, the proposed MPC is directly formulated in the original abc-framework. To verify the effectiveness of this proposal, simulation results of the proposed MPC governing a five-level CHB converter are provided.
{"title":"Predictive Control algorithm to achieve power balance of Cascaded H-Bridge converters","authors":"R. Aguilera, Yifan Yu, P. Acuña, G. Konstantinou, C. Townsend, Bin Wu, V. Agelidis","doi":"10.1109/PRECEDE.2015.7395582","DOIUrl":"https://doi.org/10.1109/PRECEDE.2015.7395582","url":null,"abstract":"This work proposes a Model Predictive Control (MPC) strategy for Cascaded H-Bridge (CHB) converters under unbalanced power generation among each converter phase. Therefore, the control target is to extract unbalanced power from the dc-sources while providing balanced power to the grid. The key novelty of this proposal lies in the way the unbalanced power generation issue is explicitly considered into the optimal control problem. The power balance is achieved by enforcing the CHB to work with a suitable zero voltage components. Thus, to account for the common-mode voltage, the proposed MPC is directly formulated in the original abc-framework. To verify the effectiveness of this proposal, simulation results of the proposed MPC governing a five-level CHB converter are provided.","PeriodicalId":271130,"journal":{"name":"2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122281088","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}
Pub Date : 2015-10-01DOI: 10.1109/PRECEDE.2015.7395583
V. Šmídl, V. Mácha, Š. Janouš, Z. Peroutka
Linear quadratic control (LQ) is a popular technique for design of control strategy. Its main advantage is the ability to optimize a quadratic cost function on a very long horizon (potentially infinite). In its basic form, it requires linear system which is not the case in many AC drive control problem. However, various approximations, such as gain scheduling or state dependent Riccatti Equation (SDRE) approach, were proposed and applied to this task. They have certain advantages, however, they all still suffer from the essential problem of LQ approaches, namely its inability to respect hard constraints on the system state variable. In this paper, we interpret the LQ controller as an approximate solution of the constrained problem and use the limited lookahead approach of approximate dynamic programming to introduce the constraint on the amplitude of the drive currents. This yields a constrained quadratic optimization problem, for which we design an iterative solution. Performance of the algorithm is tested in simulation and experimentally on a laboratory prototype of a 10.7 kW PMSM drive.
{"title":"Predictive current limiter for LQ based control of AC drives","authors":"V. Šmídl, V. Mácha, Š. Janouš, Z. Peroutka","doi":"10.1109/PRECEDE.2015.7395583","DOIUrl":"https://doi.org/10.1109/PRECEDE.2015.7395583","url":null,"abstract":"Linear quadratic control (LQ) is a popular technique for design of control strategy. Its main advantage is the ability to optimize a quadratic cost function on a very long horizon (potentially infinite). In its basic form, it requires linear system which is not the case in many AC drive control problem. However, various approximations, such as gain scheduling or state dependent Riccatti Equation (SDRE) approach, were proposed and applied to this task. They have certain advantages, however, they all still suffer from the essential problem of LQ approaches, namely its inability to respect hard constraints on the system state variable. In this paper, we interpret the LQ controller as an approximate solution of the constrained problem and use the limited lookahead approach of approximate dynamic programming to introduce the constraint on the amplitude of the drive currents. This yields a constrained quadratic optimization problem, for which we design an iterative solution. Performance of the algorithm is tested in simulation and experimentally on a laboratory prototype of a 10.7 kW PMSM drive.","PeriodicalId":271130,"journal":{"name":"2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133516843","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}
Pub Date : 2015-10-01DOI: 10.1109/PRECEDE.2015.7395506
V. Muzikova, T. Glasberger, V. Šmídl, Z. Peroutka
A new control algorithm for operation of surface mounted permanent magnet synchronous machines in very low speed and standstill using finite control set model predictive control (FCS-MPC) and high frequency signal injection for estimation of the rotor position is proposed. Estimation of the rotor position is based on the standard injections of high frequency signal into the voltage command for a PWM. It is intended to achieve the same effect using the FCS-MPC. The FCS-MPC usually operates with a short sampling period, therefore the estimation algorithm needs to be computationally cheap. Moreover, the cost function needs to be modified to secure injection of high frequency (hf) voltage signals into a given axis in a reference frame linked with the rotor position. In this paper, a method of injection of a harmonic signal using FCS-MPC is proposed, using an extension of the cost function. Rotor position and speed estimation is based on the conventional phase-locked loop. Theoretical assumptions are verified by both simulations and experiments on a laboratory prototype of PMSM drive with rated power of 250 W.
{"title":"Finite control set MPC with high frequency injections for sensorless position and speed estimation of a PMSM","authors":"V. Muzikova, T. Glasberger, V. Šmídl, Z. Peroutka","doi":"10.1109/PRECEDE.2015.7395506","DOIUrl":"https://doi.org/10.1109/PRECEDE.2015.7395506","url":null,"abstract":"A new control algorithm for operation of surface mounted permanent magnet synchronous machines in very low speed and standstill using finite control set model predictive control (FCS-MPC) and high frequency signal injection for estimation of the rotor position is proposed. Estimation of the rotor position is based on the standard injections of high frequency signal into the voltage command for a PWM. It is intended to achieve the same effect using the FCS-MPC. The FCS-MPC usually operates with a short sampling period, therefore the estimation algorithm needs to be computationally cheap. Moreover, the cost function needs to be modified to secure injection of high frequency (hf) voltage signals into a given axis in a reference frame linked with the rotor position. In this paper, a method of injection of a harmonic signal using FCS-MPC is proposed, using an extension of the cost function. Rotor position and speed estimation is based on the conventional phase-locked loop. Theoretical assumptions are verified by both simulations and experiments on a laboratory prototype of PMSM drive with rated power of 250 W.","PeriodicalId":271130,"journal":{"name":"2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"255 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123244719","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}
Pub Date : 2015-10-01DOI: 10.1109/PRECEDE.2015.7395587
I. Araujo-Vargas, Sergio Salas-Duarte, J. Ramírez-Hernández, B. Del-Muro-Cuéllar, M. Rivera
This paper presents a typical topology of medium-power, active power filter that utilizes a one-step ahead current controller to improve the power quality of a four-wire, unbalanced nonlinear load without using an additional switching limb to regulate the neutral current. In contrast to commonplace control techniques of shunt active filters, the one-step ahead strategy, or predictive control method of the presented circuit, determines the switching of the active filter and, thereby, the generation of its currents, such that the supply current waveforms become virtually sinusoidal waves, being its THD -% when the filter is operated with a 2kW load. The principle of operation of the switching control scheme is analysed, using a space vector technique for simple implementation together with a description of its practical development, showing experimental results obtained with a 2kW prototype.
{"title":"Predictive current control of a four-wire, active power filter for an unbalanced utility load of metro railway","authors":"I. Araujo-Vargas, Sergio Salas-Duarte, J. Ramírez-Hernández, B. Del-Muro-Cuéllar, M. Rivera","doi":"10.1109/PRECEDE.2015.7395587","DOIUrl":"https://doi.org/10.1109/PRECEDE.2015.7395587","url":null,"abstract":"This paper presents a typical topology of medium-power, active power filter that utilizes a one-step ahead current controller to improve the power quality of a four-wire, unbalanced nonlinear load without using an additional switching limb to regulate the neutral current. In contrast to commonplace control techniques of shunt active filters, the one-step ahead strategy, or predictive control method of the presented circuit, determines the switching of the active filter and, thereby, the generation of its currents, such that the supply current waveforms become virtually sinusoidal waves, being its THD -% when the filter is operated with a 2kW load. The principle of operation of the switching control scheme is analysed, using a space vector technique for simple implementation together with a description of its practical development, showing experimental results obtained with a 2kW prototype.","PeriodicalId":271130,"journal":{"name":"2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116588400","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}
Pub Date : 2015-10-01DOI: 10.1109/PRECEDE.2015.7395590
Zhenbin Zhang, R. Kennel
Control of grid-tied wind turbine systems under unbalanced grid is one the challenges. This work studies and illustrates several unbalanced grid control methods combined with Direct Model Predictive Control (DMPC) schemes for three level NPC back-to-back power converter Permanent-magnet Synchronous Generator (PMSG) wind turbine systems. Within this paper, three different compensation schemes, i.e., symmetrical current compensation, constant active power compensation, and constant reactive power compensation, using the conventional instantaneous power theory are over-viewed. Then based on a newly reported instantaneous power theory, a DMPC scheme for unbalanced grid three-level NPC back-to-back power converter PMSG wind turbine systems is presented. The performance comparison is illustrated through simulation results.
{"title":"Direct Model Predictive Control of three-level NPC back-to-back power converter PMSG wind turbine systems under unbalanced grid","authors":"Zhenbin Zhang, R. Kennel","doi":"10.1109/PRECEDE.2015.7395590","DOIUrl":"https://doi.org/10.1109/PRECEDE.2015.7395590","url":null,"abstract":"Control of grid-tied wind turbine systems under unbalanced grid is one the challenges. This work studies and illustrates several unbalanced grid control methods combined with Direct Model Predictive Control (DMPC) schemes for three level NPC back-to-back power converter Permanent-magnet Synchronous Generator (PMSG) wind turbine systems. Within this paper, three different compensation schemes, i.e., symmetrical current compensation, constant active power compensation, and constant reactive power compensation, using the conventional instantaneous power theory are over-viewed. Then based on a newly reported instantaneous power theory, a DMPC scheme for unbalanced grid three-level NPC back-to-back power converter PMSG wind turbine systems is presented. The performance comparison is illustrated through simulation results.","PeriodicalId":271130,"journal":{"name":"2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123094310","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}
Pub Date : 2015-10-01DOI: 10.1109/PRECEDE.2015.7395589
Michael Leuer, Michael Lonneker, J. Bocker
Model Predictive Control (MPC) is a very powerful and increasing popular control method. Due to increasing calculation power of state-of-the-art control hardware platforms and computationally efficient MPC approaches, MPC is already feasible for processes with small time constants as they are common in converter and drive control. In this paper, a 27-to-3-phase thyristor matrix converter (also known as cycloconverter) is considered. Such a converter can be controlled with the standard control angle approach. However the full available system performance cannot be utilized using this standard method, since each of the grid phases is separately controlled. Compared to the standard method, the MPC as a multi-variable control algorithm considers the whole coupled overall system. Due to this, all 273 = 19683 switching states are considered. Besides the proof of the function of a Direct MPC for the 27-to-3-phase thyristor matrix converter, this paper also demonstrates that the commutation frequency can be distinctly reduced by the use of the MPC. Since the switching losses mainly depend on the switching frequency, the converter losses will be significantly reduced by this method.
{"title":"Direct Model Predictive Control strategy for multi-phase thyristor matrix converters","authors":"Michael Leuer, Michael Lonneker, J. Bocker","doi":"10.1109/PRECEDE.2015.7395589","DOIUrl":"https://doi.org/10.1109/PRECEDE.2015.7395589","url":null,"abstract":"Model Predictive Control (MPC) is a very powerful and increasing popular control method. Due to increasing calculation power of state-of-the-art control hardware platforms and computationally efficient MPC approaches, MPC is already feasible for processes with small time constants as they are common in converter and drive control. In this paper, a 27-to-3-phase thyristor matrix converter (also known as cycloconverter) is considered. Such a converter can be controlled with the standard control angle approach. However the full available system performance cannot be utilized using this standard method, since each of the grid phases is separately controlled. Compared to the standard method, the MPC as a multi-variable control algorithm considers the whole coupled overall system. Due to this, all 273 = 19683 switching states are considered. Besides the proof of the function of a Direct MPC for the 27-to-3-phase thyristor matrix converter, this paper also demonstrates that the commutation frequency can be distinctly reduced by the use of the MPC. Since the switching losses mainly depend on the switching frequency, the converter losses will be significantly reduced by this method.","PeriodicalId":271130,"journal":{"name":"2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123297751","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}
Pub Date : 2015-10-01DOI: 10.1109/PRECEDE.2015.7395579
Zhenbin Zhang, Hui Fang, R. Kennel
Three-level neutral-point clamped (NPC) power converter seems promising for high power grid-tied renewable applications. Direct Model Predictive Control (DMPC) is an attractive control method, in particular for multi-level converters. However, relatively big ripples of the control variables and heavy computational efforts are regarded as two of the shortcomings for DMPC schemes due to its cost enumeration and one-vector-per-control-interval characters. This work proposes a computational efficient ripple-reduced DMPC scheme for three level NPC Active-Front-End (AFE). By combining a deadbeat concept the targeted switching vectors are allocated efficiently and the respective actuating times of the vectors are on-line optimally calculated. Compared to the classical DMPC scheme, computational efforts are reduced efficiently and much smaller ripples of the control variables are achieved. Simulation results emphasize the effectiveness of the proposed scheme.
{"title":"Novel ripple reduced Direct Model Predictive Control of three-level NPC active front end with reduced computational effort","authors":"Zhenbin Zhang, Hui Fang, R. Kennel","doi":"10.1109/PRECEDE.2015.7395579","DOIUrl":"https://doi.org/10.1109/PRECEDE.2015.7395579","url":null,"abstract":"Three-level neutral-point clamped (NPC) power converter seems promising for high power grid-tied renewable applications. Direct Model Predictive Control (DMPC) is an attractive control method, in particular for multi-level converters. However, relatively big ripples of the control variables and heavy computational efforts are regarded as two of the shortcomings for DMPC schemes due to its cost enumeration and one-vector-per-control-interval characters. This work proposes a computational efficient ripple-reduced DMPC scheme for three level NPC Active-Front-End (AFE). By combining a deadbeat concept the targeted switching vectors are allocated efficiently and the respective actuating times of the vectors are on-line optimally calculated. Compared to the classical DMPC scheme, computational efforts are reduced efficiently and much smaller ripples of the control variables are achieved. Simulation results emphasize the effectiveness of the proposed scheme.","PeriodicalId":271130,"journal":{"name":"2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130268010","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}
Pub Date : 2015-10-01DOI: 10.1109/PRECEDE.2015.7395585
A. Ayad, P. Karamanakos, R. Kennel
This paper introduces a direct model predictive control (MPC) strategy to control both sides of a quasi-Z-source inverter (qZSI) based on the inductor and the output currents. To improve the performance of the controlled system, a long prediction horizon is implemented. However, the underlying optimization problem may become computationally intractable because of the increased computational power demands. To overcome this and to solve the problem in real time in a computationally efficient manner, a branch-and-bound strategy is used along with a move blocking scheme. Simulation results highlight the effectiveness of the presented control strategy.
{"title":"Direct model predictive current control of quasi-Z-source inverters","authors":"A. Ayad, P. Karamanakos, R. Kennel","doi":"10.1109/PRECEDE.2015.7395585","DOIUrl":"https://doi.org/10.1109/PRECEDE.2015.7395585","url":null,"abstract":"This paper introduces a direct model predictive control (MPC) strategy to control both sides of a quasi-Z-source inverter (qZSI) based on the inductor and the output currents. To improve the performance of the controlled system, a long prediction horizon is implemented. However, the underlying optimization problem may become computationally intractable because of the increased computational power demands. To overcome this and to solve the problem in real time in a computationally efficient manner, a branch-and-bound strategy is used along with a move blocking scheme. Simulation results highlight the effectiveness of the presented control strategy.","PeriodicalId":271130,"journal":{"name":"2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122309759","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}
Pub Date : 2015-10-01DOI: 10.1109/PRECEDE.2015.7395586
U. Ammann
This paper introduces so-called “Assignment Figures” as a tool to evaluate the impact of different cost functions on the resulting switching state patterns for predictive inverter control. These Assignment Figures are derived for two-level voltage source inverters and investigated for different cost function variants, including weighted switching frequency reduction and common-mode voltage reduction. It is shown how this graphical method can be used for selecting appropriate cost functions and for tuning weighting factors.
{"title":"Using Assignment Figures to evaluate cost functions in predictive inverter control","authors":"U. Ammann","doi":"10.1109/PRECEDE.2015.7395586","DOIUrl":"https://doi.org/10.1109/PRECEDE.2015.7395586","url":null,"abstract":"This paper introduces so-called “Assignment Figures” as a tool to evaluate the impact of different cost functions on the resulting switching state patterns for predictive inverter control. These Assignment Figures are derived for two-level voltage source inverters and investigated for different cost function variants, including weighted switching frequency reduction and common-mode voltage reduction. It is shown how this graphical method can be used for selecting appropriate cost functions and for tuning weighting factors.","PeriodicalId":271130,"journal":{"name":"2015 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114252262","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}
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