Pub Date : 2020-10-18DOI: 10.1109/IECON43393.2020.9254835
Niclas Ericsson, J. Åkerberg, M. Björkman, T. Lennvall, S. Larsson, Hongyu Pei Breivold
The run-time context in industrial embedded systems varies from bare-metal microcontrollers, to multicore-processors running real-time operating systems. Due to the longevity of industrial systems, reusability and evolvability are often considered crucial quality attributes. This paper presents a new flexible task design that enables tasks to be agnostic to run-time context. Evaluations of the design were made by conducting experiments using a proof of concept implementation of the proposed design. The experiments were based on typical industrial constructs, such as periodic tasks, and event signaling from interrupts. Findings from the experiments show that tasks can be more agnostic to run-time context and still deliver functionality normally used within industry. The results indicate that it is feasible to improve reusability and evolvability between different run-time contexts, and in addition, support hybrid configurations that can reduce resource usage, since e.g. a thread can be easily shared among several tasks.
{"title":"A Flexible Task Design for Industrial Embedded Systems","authors":"Niclas Ericsson, J. Åkerberg, M. Björkman, T. Lennvall, S. Larsson, Hongyu Pei Breivold","doi":"10.1109/IECON43393.2020.9254835","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9254835","url":null,"abstract":"The run-time context in industrial embedded systems varies from bare-metal microcontrollers, to multicore-processors running real-time operating systems. Due to the longevity of industrial systems, reusability and evolvability are often considered crucial quality attributes. This paper presents a new flexible task design that enables tasks to be agnostic to run-time context. Evaluations of the design were made by conducting experiments using a proof of concept implementation of the proposed design. The experiments were based on typical industrial constructs, such as periodic tasks, and event signaling from interrupts. Findings from the experiments show that tasks can be more agnostic to run-time context and still deliver functionality normally used within industry. The results indicate that it is feasible to improve reusability and evolvability between different run-time contexts, and in addition, support hybrid configurations that can reduce resource usage, since e.g. a thread can be easily shared among several tasks.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"38 1","pages":"2143-2148"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91382590","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 : 2020-10-18DOI: 10.1109/IECON43393.2020.9254486
P. Bernard, A. Jebai
We show how the gradient observer proposed in Bernard & Praly, IFAC 2017, can be practically implemented to estimate online the rotor position and the magnet flux of salient PMSMs, using only electrical measurements and (approximate) knowledge of the resistance and inductance. This sensorless observer ensures global convergence provided the rotation speed remains away from zero and the current and voltages are bounded. Its robustness with respect to errors on parameters and the presence of magnetic saturation is shown, with explicit expression of the resulting steady state error. It is shown how to discretize and practically implement the observer at the PWM’s rate. This observer operates dynamically, in normal conditions, without any constraint on the load, and without any mechanical information. Its performance in open-loop are illustrated on experimental data on a SPM.
{"title":"Robust sensorless estimation of the position and magnet flux of PMSMs","authors":"P. Bernard, A. Jebai","doi":"10.1109/IECON43393.2020.9254486","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9254486","url":null,"abstract":"We show how the gradient observer proposed in Bernard & Praly, IFAC 2017, can be practically implemented to estimate online the rotor position and the magnet flux of salient PMSMs, using only electrical measurements and (approximate) knowledge of the resistance and inductance. This sensorless observer ensures global convergence provided the rotation speed remains away from zero and the current and voltages are bounded. Its robustness with respect to errors on parameters and the presence of magnetic saturation is shown, with explicit expression of the resulting steady state error. It is shown how to discretize and practically implement the observer at the PWM’s rate. This observer operates dynamically, in normal conditions, without any constraint on the load, and without any mechanical information. Its performance in open-loop are illustrated on experimental data on a SPM.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"26 1","pages":"1082-1087"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91387151","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 : 2020-10-18DOI: 10.1109/IECON43393.2020.9254406
Satyanarayana Muddasani, A. V. R. Teja
Use of Derivative based PLL is one of the simplest and fastest solution for phase-locked loops in single phase systems. The dynamics of Derivative-PLL are comparatively better than other methods, but it exhibits high frequency noise amplification and also under performs in non-ideal grid conditions. In this paper, a robust arbitrary order exact differentiator is proposed as a solution to generate noise free, fast and exact orthogonal signal by utilizing second order generalized differentiator method which is used further to formulate a PLL that is immune to high frequency noise and performs well under various disturbances in voltage, frequency, phase, harmonics, noise and DC-offset in grid voltage. The proposed PLL is modeled using MATLAB/SIMULINK and is tested for standard grid conditions. Typical results are reported and are compared with existing PLLs. It is found that the proposed method is not only simple and immune to noise and disturbances but also superior compared to other PLLs.
{"title":"Orthogonal Signal Generation based PLL using Arbitrary Order Exact Differentiator with Inherent Disturbance Rejection for Single Phase Systems","authors":"Satyanarayana Muddasani, A. V. R. Teja","doi":"10.1109/IECON43393.2020.9254406","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9254406","url":null,"abstract":"Use of Derivative based PLL is one of the simplest and fastest solution for phase-locked loops in single phase systems. The dynamics of Derivative-PLL are comparatively better than other methods, but it exhibits high frequency noise amplification and also under performs in non-ideal grid conditions. In this paper, a robust arbitrary order exact differentiator is proposed as a solution to generate noise free, fast and exact orthogonal signal by utilizing second order generalized differentiator method which is used further to formulate a PLL that is immune to high frequency noise and performs well under various disturbances in voltage, frequency, phase, harmonics, noise and DC-offset in grid voltage. The proposed PLL is modeled using MATLAB/SIMULINK and is tested for standard grid conditions. Typical results are reported and are compared with existing PLLs. It is found that the proposed method is not only simple and immune to noise and disturbances but also superior compared to other PLLs.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"1 1","pages":"5088-5093"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83073175","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 : 2020-10-18DOI: 10.1109/IECON43393.2020.9255157
N. Tashakor, Bita Arabsalmanabadi, Lidia Ortega Cervera, E. Hosseini, K. Al-haddad, S. Goetz
The advantages of modular multilevel converters (MMC) over conventional two-level converters have lead to new emerging topologies and applications. The MMC with series/parallel connectivity (MMSPC) is one of the more recent topologies that can provide stable and efficient sensorless operation by introducing an additional parallel connection state between modules. However, while the parallel functionality has great potential in simplifying control and monitoring, it complicates the analysis of the system. The equivalent resistance of the MMC can be helpful in analyzing the conduction losses and also in designing appropriate heat management systems. Estimating the equivalent resistance of an MMC structure with half-bridge submodules is a straightforward procedure. However, performing a similar analysis for MMSPCs is more difficult, mainly because of the parallel state. In this paper, a simplified semi-analytical equivalent-resistance analysis method for MMSPC with full-bridge submodules (SM) is presented that can increase the speed of analyzing the system. Furthermore, the derived equations are compared to MMC with half-bridge SMs to provide better insight into the effect of varying parameters of the system.
{"title":"A Simplified Analysis of Equivalent Resistance in Modular Multilevel Converters with Parallel Functionality","authors":"N. Tashakor, Bita Arabsalmanabadi, Lidia Ortega Cervera, E. Hosseini, K. Al-haddad, S. Goetz","doi":"10.1109/IECON43393.2020.9255157","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9255157","url":null,"abstract":"The advantages of modular multilevel converters (MMC) over conventional two-level converters have lead to new emerging topologies and applications. The MMC with series/parallel connectivity (MMSPC) is one of the more recent topologies that can provide stable and efficient sensorless operation by introducing an additional parallel connection state between modules. However, while the parallel functionality has great potential in simplifying control and monitoring, it complicates the analysis of the system. The equivalent resistance of the MMC can be helpful in analyzing the conduction losses and also in designing appropriate heat management systems. Estimating the equivalent resistance of an MMC structure with half-bridge submodules is a straightforward procedure. However, performing a similar analysis for MMSPCs is more difficult, mainly because of the parallel state. In this paper, a simplified semi-analytical equivalent-resistance analysis method for MMSPC with full-bridge submodules (SM) is presented that can increase the speed of analyzing the system. Furthermore, the derived equations are compared to MMC with half-bridge SMs to provide better insight into the effect of varying parameters of the system.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"86 1","pages":"4158-4163"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80752015","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 : 2020-10-18DOI: 10.1109/IECON43393.2020.9254698
Nanxi Liu, Bo Long, Pengfei Hu, Lufei Zhang, Jingyao Hu
This paper presents a new solution for improving the dynamic response performance of Power Transmission System for Wind Turbine. A center follows control set model predictive control (CFCS-MPC) of dual active bridge converter is proposed for stabilization and rapidly response between wind turbine and output loads, which features two validation steps. First to mitigate the computational burden with a reduced prediction horizon and variable step size control set selection; then to correct the potential deviation with compensation loop and improved cost function. The operating principle of the novel CFCS-MPC is introduced for developing the cost function, which plays a vital role in voltage regulating as well as resonance damping and sampling noise resistance. Comparisons with other control methods are also provided. The theory of the proposed method has been verified in MATLAB/Simulink and shows a good application prospects in improving the dynamic response performance.
{"title":"Model Predictive Control for Dual-Active-Bridge Converters in Stability Maintenance and Control of Power Transmission System","authors":"Nanxi Liu, Bo Long, Pengfei Hu, Lufei Zhang, Jingyao Hu","doi":"10.1109/IECON43393.2020.9254698","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9254698","url":null,"abstract":"This paper presents a new solution for improving the dynamic response performance of Power Transmission System for Wind Turbine. A center follows control set model predictive control (CFCS-MPC) of dual active bridge converter is proposed for stabilization and rapidly response between wind turbine and output loads, which features two validation steps. First to mitigate the computational burden with a reduced prediction horizon and variable step size control set selection; then to correct the potential deviation with compensation loop and improved cost function. The operating principle of the novel CFCS-MPC is introduced for developing the cost function, which plays a vital role in voltage regulating as well as resonance damping and sampling noise resistance. Comparisons with other control methods are also provided. The theory of the proposed method has been verified in MATLAB/Simulink and shows a good application prospects in improving the dynamic response performance.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"19 1","pages":"3242-3247"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83669116","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 : 2020-10-18DOI: 10.1109/IECON43393.2020.9254639
P. Redon, Maria Jose Picazo Rodenas, J. Antonino-Daviu
Infrared thermography can be a very useful technique for condition monitoring because the most common faults suffered by induction motors cause a temperature rise in the motor’s frame. Moreover, this technique is non-intrusive, affordable and very sensitive due to the substantial technical progress in the design and development of new thermal cameras. However, data interpretation and decision making from the resulting infrared images is one of the major limitations of this technique, because it is directly dependent on the operator’s experience. Several automated expert systems have been developed using machine learning and, to a lesser extent, with deep learning algorithms. The objective of this paper is to develop a diagnosis tool, based on infrared imaging and deep learning algorithms, applicable to induction motors working in transient conditions. The developed classifier, after training, presents high accuracy levels, classifying the images into one of the five considered scenarios and even at the early stages of the transient state. This methodology can be applied in a broad variety of scenarios with substantial cost saving and offering high-safety standards.
{"title":"Development of a diagnosis tool, based on deep learning algorithms and infrared images, applicable to condition monitoring of induction motors under transient regime","authors":"P. Redon, Maria Jose Picazo Rodenas, J. Antonino-Daviu","doi":"10.1109/IECON43393.2020.9254639","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9254639","url":null,"abstract":"Infrared thermography can be a very useful technique for condition monitoring because the most common faults suffered by induction motors cause a temperature rise in the motor’s frame. Moreover, this technique is non-intrusive, affordable and very sensitive due to the substantial technical progress in the design and development of new thermal cameras. However, data interpretation and decision making from the resulting infrared images is one of the major limitations of this technique, because it is directly dependent on the operator’s experience. Several automated expert systems have been developed using machine learning and, to a lesser extent, with deep learning algorithms. The objective of this paper is to develop a diagnosis tool, based on infrared imaging and deep learning algorithms, applicable to induction motors working in transient conditions. The developed classifier, after training, presents high accuracy levels, classifying the images into one of the five considered scenarios and even at the early stages of the transient state. This methodology can be applied in a broad variety of scenarios with substantial cost saving and offering high-safety standards.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"39 1","pages":"2505-2510"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83846051","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 : 2020-10-18DOI: 10.1109/IECON43393.2020.9255402
P. Law, Wang Yip Lau, Lawrence C. K. Poon, Andy WC Chung, Ken WM Lai
Prisons or correctional facilities require a high amount of manpower for maintaining safety whilst ensuring service quality. However, high turn-over rate (5% per year) commonly seen in these institutions often brings operational challenges, which may entail risk to safety. Prisoner’s abnormal behaviors, such as self-harming and fighting, are the major concerns posing the highest safety hazards to prisoners and front-end staff. Traditional human-dependent method used for monitoring prisoners’ abnormal behaviors is labor-intensive, and may give rise to problem such as misdetection. A Smart Prison system has been developed to assist front-end staff in detecting prisoners’ abnormal behaviors. Results shows that over 95% of the abnormal behaviors can be detected by the system. This supporting system can lower the operational pressure resulted from shortage of manpower, and reduce the rate of abnormal behavior misdetection. This will improve the safety of both front-end staff and prisoners.
{"title":"Smart Prison - Video Analysis for Human Action Detection","authors":"P. Law, Wang Yip Lau, Lawrence C. K. Poon, Andy WC Chung, Ken WM Lai","doi":"10.1109/IECON43393.2020.9255402","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9255402","url":null,"abstract":"Prisons or correctional facilities require a high amount of manpower for maintaining safety whilst ensuring service quality. However, high turn-over rate (5% per year) commonly seen in these institutions often brings operational challenges, which may entail risk to safety. Prisoner’s abnormal behaviors, such as self-harming and fighting, are the major concerns posing the highest safety hazards to prisoners and front-end staff. Traditional human-dependent method used for monitoring prisoners’ abnormal behaviors is labor-intensive, and may give rise to problem such as misdetection. A Smart Prison system has been developed to assist front-end staff in detecting prisoners’ abnormal behaviors. Results shows that over 95% of the abnormal behaviors can be detected by the system. This supporting system can lower the operational pressure resulted from shortage of manpower, and reduce the rate of abnormal behavior misdetection. This will improve the safety of both front-end staff and prisoners.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"2 1","pages":"513-516"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83345545","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 : 2020-10-18DOI: 10.1109/IECON43393.2020.9254317
P. Sanila, J. Jacob, R. Ramchand
This paper proposes a novel Kalman Filter-based Disturbance Observer for formation control of multi-agent systems with double integrator model using the notion of graph rigidity. Rigidity based formation control targets at achieving and maintaining a predefined geometric structure in space while satisfying the constraints on inter-agent distance, as well as circumventing the collision between the agents. In a practical scenario, the agents will be subjected to disturbances and hence fail in attaining the desired formation. Therefore, the aim of this paper is to design a Kalman filter based observer to efficaciously estimate the disturbances and states, to provide appropriate modifications in the control law so as to achieve robust formation stabilisation. Simulation results validate the proposed method for both constant and time varying disturbances.
{"title":"On the design of Kalman Filter-Based Disturbance Observer For Stabilization of Rigid Formations","authors":"P. Sanila, J. Jacob, R. Ramchand","doi":"10.1109/IECON43393.2020.9254317","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9254317","url":null,"abstract":"This paper proposes a novel Kalman Filter-based Disturbance Observer for formation control of multi-agent systems with double integrator model using the notion of graph rigidity. Rigidity based formation control targets at achieving and maintaining a predefined geometric structure in space while satisfying the constraints on inter-agent distance, as well as circumventing the collision between the agents. In a practical scenario, the agents will be subjected to disturbances and hence fail in attaining the desired formation. Therefore, the aim of this paper is to design a Kalman filter based observer to efficaciously estimate the disturbances and states, to provide appropriate modifications in the control law so as to achieve robust formation stabilisation. Simulation results validate the proposed method for both constant and time varying disturbances.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"24 1","pages":"662-667"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83459886","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 : 2020-10-18DOI: 10.1109/IECON43393.2020.9255010
Nidhi Mishra, S. Yadav, Bhim Singh, A. Chandra, K. Al-haddad
This paper presents a single-phase neutral point clamped (NPC) multilevel converter (MLC) configuration for grid-connected photovoltaic (PV) applications. A single-stage control is implemented to feed PV array power to the grid at unity power factor. The direct and quadrature components-based controller is designed to have independent control on active and reactive powers injection. A low computational DC component injection based neutral point voltage (NPV) balance regulator ensures equal charging and discharging of DC-link capacitors. Moreover, the pulse width modulation technique with unipolar pattern is applied at lower switching frequency to adhere with minimum switching losses and power quality standards. The system performance in terms of parameters such as NPV balancing, converter voltage harmonics, the grid current harmonics, and unity power factor operation is analysed at variable irradiances. Simulation results are obtained using MATLAB/Simulink are validated using OPALRT test bench.
{"title":"Power Quality Improvement for PV fed NPC Converter for Grid-Tied Applications","authors":"Nidhi Mishra, S. Yadav, Bhim Singh, A. Chandra, K. Al-haddad","doi":"10.1109/IECON43393.2020.9255010","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9255010","url":null,"abstract":"This paper presents a single-phase neutral point clamped (NPC) multilevel converter (MLC) configuration for grid-connected photovoltaic (PV) applications. A single-stage control is implemented to feed PV array power to the grid at unity power factor. The direct and quadrature components-based controller is designed to have independent control on active and reactive powers injection. A low computational DC component injection based neutral point voltage (NPV) balance regulator ensures equal charging and discharging of DC-link capacitors. Moreover, the pulse width modulation technique with unipolar pattern is applied at lower switching frequency to adhere with minimum switching losses and power quality standards. The system performance in terms of parameters such as NPV balancing, converter voltage harmonics, the grid current harmonics, and unity power factor operation is analysed at variable irradiances. Simulation results are obtained using MATLAB/Simulink are validated using OPALRT test bench.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"68 1 1","pages":"3302-3307"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83310164","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 : 2020-10-18DOI: 10.1109/IECON43393.2020.9254881
D. Garinto, D. Hendriana, Harki Apri Yanto, T. Sutikno
This paper presents a new 3-phase 3-level 3-wire AC-DC converter structure for wind energy conversion systems (WECS). The multi-channel converter architecture with a phase shifting principle is proposed to solve the technical challenges of future MV PMSG WECS with 5 – 20 MW power rating. Also, the Discontinuous Conduction Mode (DCM) operation is used to achieve a low-cost solution and to reduce the control complexity. In case of 5 – 20 MW output power levels, the input and output ripple currents at the inductance and capacitance filters are studied using PSPICE simulation analysis. Simulation results demonstrate that the input and output ripple currents are reduced significantly, which lead to smaller inductance and capacitance values so that high-efficiency, high-reliability and light-weight WECS can be realized.
{"title":"A New 3-Phase 3-Wire 3-Level AC-DC Converter for Wind Energy Conversion Systems","authors":"D. Garinto, D. Hendriana, Harki Apri Yanto, T. Sutikno","doi":"10.1109/IECON43393.2020.9254881","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9254881","url":null,"abstract":"This paper presents a new 3-phase 3-level 3-wire AC-DC converter structure for wind energy conversion systems (WECS). The multi-channel converter architecture with a phase shifting principle is proposed to solve the technical challenges of future MV PMSG WECS with 5 – 20 MW power rating. Also, the Discontinuous Conduction Mode (DCM) operation is used to achieve a low-cost solution and to reduce the control complexity. In case of 5 – 20 MW output power levels, the input and output ripple currents at the inductance and capacitance filters are studied using PSPICE simulation analysis. Simulation results demonstrate that the input and output ripple currents are reduced significantly, which lead to smaller inductance and capacitance values so that high-efficiency, high-reliability and light-weight WECS can be realized.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"3 1","pages":"3151-3156"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83500877","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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