Pub Date : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453569
Gabriel R. Broday, G. Damm, W. Pasillas-Lépine, L. Lopes
Energy storage devices are frequently employed for dynamic voltage regulation in DC nano and microgrids. For that, the power electronic interface should allow fast and accurate control of the bidirectional power flow. This requires an appropriate set of power electronics topology and control strategy. This paper focuses on a novel 5-switch DC-DC converter capable of reversing the power flow direction without changing the current direction in the intermediate inductor. A tri-state buck-boost plus free-wheeling modulation scheme is discussed. One issue with conventional PI-type controllers designed for converter models linearized around a typical operating point is their performance deteriorates as the operating point changes. In such cases, advanced control methods based on non-linear control theory can be beneficial. This paper discusses an approach for the modelling and control by dynamic feedback linearization of a 5-switch bidirectional DC-DC converter. The performance is verified by means of simulation results.
{"title":"Modeling and dynamic feedback linearization of a 5-switch tri-state buck-boost bidirectional DC-DC converter","authors":"Gabriel R. Broday, G. Damm, W. Pasillas-Lépine, L. Lopes","doi":"10.1109/ICIT46573.2021.9453569","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453569","url":null,"abstract":"Energy storage devices are frequently employed for dynamic voltage regulation in DC nano and microgrids. For that, the power electronic interface should allow fast and accurate control of the bidirectional power flow. This requires an appropriate set of power electronics topology and control strategy. This paper focuses on a novel 5-switch DC-DC converter capable of reversing the power flow direction without changing the current direction in the intermediate inductor. A tri-state buck-boost plus free-wheeling modulation scheme is discussed. One issue with conventional PI-type controllers designed for converter models linearized around a typical operating point is their performance deteriorates as the operating point changes. In such cases, advanced control methods based on non-linear control theory can be beneficial. This paper discusses an approach for the modelling and control by dynamic feedback linearization of a 5-switch bidirectional DC-DC converter. The performance is verified by means of simulation results.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124091823","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 : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453516
Anthony Abdayem, J. Sawma, F. Khatounian, E. Monmasson
Modular Multilevel Converter (MMC) topologies have a bright future for high-power applications. In order to operate them, the first objective is to control the current at MMC terminals. Therefore, the arm currents must be controlled. The second objective is to control the capacitor voltages. Therefore, the internal circulating current must be controlled too. Additionally, the third objective is to reduce the switching losses. As of late, there has been an extensive effort towards addressing the technical constraints associated with the control and operation of MMC. The control of single phase MMC is however not widely developed. This paper proposes a complete scheme for controlling the MMC load current and capacitor voltages. The proposed control scheme presents a new modulation technique called the Integral Modulation technique. Finally, the effectiveness of the control scheme with its new modulation technique is tested on a single phase MMC using MATLAB/Simulink.
{"title":"Control of a Single Phase Modular Multilevel Converter based on a New Modulation Technique","authors":"Anthony Abdayem, J. Sawma, F. Khatounian, E. Monmasson","doi":"10.1109/ICIT46573.2021.9453516","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453516","url":null,"abstract":"Modular Multilevel Converter (MMC) topologies have a bright future for high-power applications. In order to operate them, the first objective is to control the current at MMC terminals. Therefore, the arm currents must be controlled. The second objective is to control the capacitor voltages. Therefore, the internal circulating current must be controlled too. Additionally, the third objective is to reduce the switching losses. As of late, there has been an extensive effort towards addressing the technical constraints associated with the control and operation of MMC. The control of single phase MMC is however not widely developed. This paper proposes a complete scheme for controlling the MMC load current and capacitor voltages. The proposed control scheme presents a new modulation technique called the Integral Modulation technique. Finally, the effectiveness of the control scheme with its new modulation technique is tested on a single phase MMC using MATLAB/Simulink.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128352783","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 : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453557
S. Ebrahimi, M. Choux, Van Khang Huynh
This paper presents a fault diagnosis method based on structural analysis of permanent magnet synchronous motors (PMSMs), focusing on detecting and discriminating two of the most common faults in PMSMs, namely demagnetization and inter-turn short circuit faults. The structural analysis technique uses the dynamic mathematical model of the PMSM in matrix form to evaluate the system’s structural model. After obtaining the analytical redundancy using the over-determined part of the system, it is divided into redundant testable sub-models. Four structured residuals are designed to detect and isolate the investigated faults, which are applied to the system in different time intervals. Finally, the proposed diagnostic approach is numerically verified through a simulation of an inverter-fed PMSM and white Gaussian noise are added to the measured signals from the motor to verify its diagnosis performances.
{"title":"Detection and Discrimination of Inter-Turn Short Circuit and Demagnetization Faults in PMSMs Based on Structural Analysis","authors":"S. Ebrahimi, M. Choux, Van Khang Huynh","doi":"10.1109/ICIT46573.2021.9453557","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453557","url":null,"abstract":"This paper presents a fault diagnosis method based on structural analysis of permanent magnet synchronous motors (PMSMs), focusing on detecting and discriminating two of the most common faults in PMSMs, namely demagnetization and inter-turn short circuit faults. The structural analysis technique uses the dynamic mathematical model of the PMSM in matrix form to evaluate the system’s structural model. After obtaining the analytical redundancy using the over-determined part of the system, it is divided into redundant testable sub-models. Four structured residuals are designed to detect and isolate the investigated faults, which are applied to the system in different time intervals. Finally, the proposed diagnostic approach is numerically verified through a simulation of an inverter-fed PMSM and white Gaussian noise are added to the measured signals from the motor to verify its diagnosis performances.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128421447","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 : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453482
Nelson Vithayathil Varghese, Akramul Azim, Q. Mahmoud
Driven by the recent technological advancements in the field of artificial intelligence, machine learning has emerged as a promising representation learning and decision-making method in many technological domains. Inspired by impressive these results, now machine learning techniques are also being applied to address the decision-making and control problems in the area of cyber-physical systems. For instance, some of these systems fall under the category of safety-critical systems such as chemical plants, autonomous vehicles, surgical robots, and modern medical equipment. One of the major performance issues related to the applicability of machine learning with safety-critical systems is related to the probability-based prediction nature of machine learning components used within such systems. This particular characteristic of machine learning makes it extremely difficult to guarantee safety as directed by standards such as ISO 26262. More importantly, the non-transparent and complex nature of machine learning algorithms make both the reasoning as well as formally establishing the safety aspects of the underlying system extremely difficult. The objective of this research work is to investigate on this key issue, and further on propose an efficient machine learning methodology based on the mixed-criticality approach feasible to safety-critical systems.
{"title":"A Feature-Based Machine Learning Approach for Mixed-Criticality Systems","authors":"Nelson Vithayathil Varghese, Akramul Azim, Q. Mahmoud","doi":"10.1109/ICIT46573.2021.9453482","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453482","url":null,"abstract":"Driven by the recent technological advancements in the field of artificial intelligence, machine learning has emerged as a promising representation learning and decision-making method in many technological domains. Inspired by impressive these results, now machine learning techniques are also being applied to address the decision-making and control problems in the area of cyber-physical systems. For instance, some of these systems fall under the category of safety-critical systems such as chemical plants, autonomous vehicles, surgical robots, and modern medical equipment. One of the major performance issues related to the applicability of machine learning with safety-critical systems is related to the probability-based prediction nature of machine learning components used within such systems. This particular characteristic of machine learning makes it extremely difficult to guarantee safety as directed by standards such as ISO 26262. More importantly, the non-transparent and complex nature of machine learning algorithms make both the reasoning as well as formally establishing the safety aspects of the underlying system extremely difficult. The objective of this research work is to investigate on this key issue, and further on propose an efficient machine learning methodology based on the mixed-criticality approach feasible to safety-critical systems.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129266351","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 : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453676
Bing-Ting Dong, Huei-Yung Lin
In the past few decades, it is shown in various studies that driving fatigue or distraction are the main threats of traffic accidents. Thus, the on-board monitoring for driving behaviors is becoming an important component of advanced driver assistance systems (ADAS) for intelligent vehicles. In this paper, we present the techniques to simultaneously detect the fatigue and distracted driving behaviors using vision and learning based approaches. In fatigue driving detection, we use facial features to detect the open/close of eyes, yawning and head posture. The random forest is adopted to analyze the driving conditions. In the distraction detection, the convolutional neural network (CNN) is used to classify various distracted driving behaviors. The experiments are carried out on the PC and embedded hardware platform using public and our own datasets for training and testing. Compared to the previous approaches, the proposed methods provide better results in terms of accuracy and computation time.
{"title":"An On-board Monitoring System for Driving Fatigue and Distraction Detection","authors":"Bing-Ting Dong, Huei-Yung Lin","doi":"10.1109/ICIT46573.2021.9453676","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453676","url":null,"abstract":"In the past few decades, it is shown in various studies that driving fatigue or distraction are the main threats of traffic accidents. Thus, the on-board monitoring for driving behaviors is becoming an important component of advanced driver assistance systems (ADAS) for intelligent vehicles. In this paper, we present the techniques to simultaneously detect the fatigue and distracted driving behaviors using vision and learning based approaches. In fatigue driving detection, we use facial features to detect the open/close of eyes, yawning and head posture. The random forest is adopted to analyze the driving conditions. In the distraction detection, the convolutional neural network (CNN) is used to classify various distracted driving behaviors. The experiments are carried out on the PC and embedded hardware platform using public and our own datasets for training and testing. Compared to the previous approaches, the proposed methods provide better results in terms of accuracy and computation time.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129300150","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 : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453532
B. Spichartz, C. Sourkounis
For variable speed wind turbines (WT) operating in the full load range, a collective pitch control is used to limit the speed to its nominal value. The concept of a nonlinear PI gain scheduling controller is particularly suitable for compensating the nonlinear rotor behavior and is widely used in the wind industry. However, a simple calculation method to calculate its controller parameters while considering the full dynamics of the control loop is not available yet. In this paper the linearization process as well as a simple calculation method to find suitable controller parameters based on methods of classical control engineering is introduced. In contrast to previous methods the full dynamics of the open loop system, in particular the dynamics of the controlled pitch servomotors and the dynamics of the drive train with its first eigenfrequency, can be considered within the controller design. This is done by analyzing the behavior of the gain scheduling control and deriving a simplified linearized model of the open loop system. In this way it is possible to optimize the controller parameters by using the bode diagram. The usability of the simple design method is shown on the basis of simulation results considering the influence of wind fluctuations as well as wind gusts.
{"title":"Design of a Gain Scheduling Pitch Controller for Wind Turbines by Using the Bode Diagram","authors":"B. Spichartz, C. Sourkounis","doi":"10.1109/ICIT46573.2021.9453532","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453532","url":null,"abstract":"For variable speed wind turbines (WT) operating in the full load range, a collective pitch control is used to limit the speed to its nominal value. The concept of a nonlinear PI gain scheduling controller is particularly suitable for compensating the nonlinear rotor behavior and is widely used in the wind industry. However, a simple calculation method to calculate its controller parameters while considering the full dynamics of the control loop is not available yet. In this paper the linearization process as well as a simple calculation method to find suitable controller parameters based on methods of classical control engineering is introduced. In contrast to previous methods the full dynamics of the open loop system, in particular the dynamics of the controlled pitch servomotors and the dynamics of the drive train with its first eigenfrequency, can be considered within the controller design. This is done by analyzing the behavior of the gain scheduling control and deriving a simplified linearized model of the open loop system. In this way it is possible to optimize the controller parameters by using the bode diagram. The usability of the simple design method is shown on the basis of simulation results considering the influence of wind fluctuations as well as wind gusts.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129321868","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 : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453474
Jessica Breitegger, Christian Raffelsberger, Siddhartha S. Borkotoky, Ingomar Rogler, C. Bettstetter
We report on multi-month experiments of a LoRa network deployed in a chemical plant. Using measurement data of nodes distributed (i) inside a building and (ii) over multiple buildings, all sending to a gateway, we estimate the path loss and fading characteristics of the links. Although we operate the system in a harsh environment according to these measurements—with a path loss exponent up to 5.1 and Nakagami fading with m as low as 0.7—the packet loss rate is low for in-building links (2.5% on the average), demonstrating LoRa’s suitability for certain industrial applications.
{"title":"Long-Term LoRa Experiments in a Chemical Plant","authors":"Jessica Breitegger, Christian Raffelsberger, Siddhartha S. Borkotoky, Ingomar Rogler, C. Bettstetter","doi":"10.1109/ICIT46573.2021.9453474","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453474","url":null,"abstract":"We report on multi-month experiments of a LoRa network deployed in a chemical plant. Using measurement data of nodes distributed (i) inside a building and (ii) over multiple buildings, all sending to a gateway, we estimate the path loss and fading characteristics of the links. Although we operate the system in a harsh environment according to these measurements—with a path loss exponent up to 5.1 and Nakagami fading with m as low as 0.7—the packet loss rate is low for in-building links (2.5% on the average), demonstrating LoRa’s suitability for certain industrial applications.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"367 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125625194","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 : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453473
Z. Bakhshi, G. Rodríguez-Navas, Hans A. Hansson
Container-based architectures are widely used for cloud computing and can have an important role in the implementation of fog computing infrastructures. However, there are some crucial dependability aspects that must be addressed to make containerization suitable for critical fog applications, e.g., in automation and robotics. This paper discusses challenges in applying containerization at the fog layer, and focuses on one of those challenges: provision of fault-tolerant permanent storage. The paper also presents a container-based fog architecture utilizing so-called storage containers, which combine built-in fault-tolerance mechanisms of containers with a distributed consensus protocol to achieve data consistency.
{"title":"Fault-tolerant Permanent Storage for Container-based Fog Architectures","authors":"Z. Bakhshi, G. Rodríguez-Navas, Hans A. Hansson","doi":"10.1109/ICIT46573.2021.9453473","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453473","url":null,"abstract":"Container-based architectures are widely used for cloud computing and can have an important role in the implementation of fog computing infrastructures. However, there are some crucial dependability aspects that must be addressed to make containerization suitable for critical fog applications, e.g., in automation and robotics. This paper discusses challenges in applying containerization at the fog layer, and focuses on one of those challenges: provision of fault-tolerant permanent storage. The paper also presents a container-based fog architecture utilizing so-called storage containers, which combine built-in fault-tolerance mechanisms of containers with a distributed consensus protocol to achieve data consistency.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"181 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126880817","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 : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453591
David Lumbreras, J. Zaragoza, N. Berbel, J. Mon, Eduardo Gálvez, Alfonso Collado
The high efficiency and the electromagnetic compatibility of wide-bandgap (WBG) power converters can be further improved using spread-spectrum (SS) modulations. This paper evaluates and compares the impact of SS techniques on voltage source converters (VSC) that use gallium nitride (GaN) semiconductors. These modulations work with a variable switching frequency, so they generate fewer switching losses. Moreover, SS modulations generate smaller low-order harmonics than the classical space vector pulse width modulation (SVPWM) does. The power losses are analysed using Matlab/Simulink and PLECS, and then compared with SVPWM. Moreover, this paper evaluates the frequency spectrum and the THD of the different SS modulations. Simulation results under various operating points are reported and compared.
{"title":"High-Frequency Spread-Spectrum Modulations for Wide-Bandgap Voltage Source Converters","authors":"David Lumbreras, J. Zaragoza, N. Berbel, J. Mon, Eduardo Gálvez, Alfonso Collado","doi":"10.1109/ICIT46573.2021.9453591","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453591","url":null,"abstract":"The high efficiency and the electromagnetic compatibility of wide-bandgap (WBG) power converters can be further improved using spread-spectrum (SS) modulations. This paper evaluates and compares the impact of SS techniques on voltage source converters (VSC) that use gallium nitride (GaN) semiconductors. These modulations work with a variable switching frequency, so they generate fewer switching losses. Moreover, SS modulations generate smaller low-order harmonics than the classical space vector pulse width modulation (SVPWM) does. The power losses are analysed using Matlab/Simulink and PLECS, and then compared with SVPWM. Moreover, this paper evaluates the frequency spectrum and the THD of the different SS modulations. Simulation results under various operating points are reported and compared.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114384712","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 : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453542
Yin Chen, Lie Xu
This paper develops small-signal admittance of grid-connected voltage source converter (VSC) in the positive-negative (pn) sequence-frame for ease of stability analysis. Based on the converter admittance in pn frame, the stability problems associated with the coupling admittance created by the phase-locked loop (PLL) and outer loop controllers are studied. To overcome the disadvantage of the traditional outer loop controller and improve system stability, an improved outer loop controller that can reduce the coupling admittance is proposed. VSC system connected to a weak grid is modelled in MATLAB-SIMULINK to validate the theoretical study and demonstrate the effectiveness of the improve outer controller.
{"title":"Sequence-Frame Coupling Admittance Analysis and Stability of VSC Connected to Weak Grid","authors":"Yin Chen, Lie Xu","doi":"10.1109/ICIT46573.2021.9453542","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453542","url":null,"abstract":"This paper develops small-signal admittance of grid-connected voltage source converter (VSC) in the positive-negative (pn) sequence-frame for ease of stability analysis. Based on the converter admittance in pn frame, the stability problems associated with the coupling admittance created by the phase-locked loop (PLL) and outer loop controllers are studied. To overcome the disadvantage of the traditional outer loop controller and improve system stability, an improved outer loop controller that can reduce the coupling admittance is proposed. VSC system connected to a weak grid is modelled in MATLAB-SIMULINK to validate the theoretical study and demonstrate the effectiveness of the improve outer controller.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114375307","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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