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}
Pub Date : 2021-03-10DOI: 10.1109/ICIT46573.2021.9453489
Eric Brandt, Felix Brandt, Konstantin Clemens, Dirk Reichelt
The current efforts to digitize production processes in the industrial environment are associated with several challenges. While there is already a wide range of standards for mapping components and products, there is still a lack of solutions for communicating concrete product requirements and given capabilities of a plant or production hall. Previous approaches, which rely on standardized feature catalogs or rigidly defined semiotics, do not offer a satisfactory solution. More desirable is an intervention-free data exchange and a negotiation process that mediates between product requirements and setup conditions. To this end, this paper proposes an architecture of a marketplace whose components compare the capabilities of an industrial system with the product requirements and evaluate them in terms of their suitability to meet the desired requirements. An approach for the rapid recognition of equality in chemical compounds using GCN is examined in detail and transferred to an industrial context.
{"title":"AI-Supported Marketplace For Industrial Capabilities","authors":"Eric Brandt, Felix Brandt, Konstantin Clemens, Dirk Reichelt","doi":"10.1109/ICIT46573.2021.9453489","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453489","url":null,"abstract":"The current efforts to digitize production processes in the industrial environment are associated with several challenges. While there is already a wide range of standards for mapping components and products, there is still a lack of solutions for communicating concrete product requirements and given capabilities of a plant or production hall. Previous approaches, which rely on standardized feature catalogs or rigidly defined semiotics, do not offer a satisfactory solution. More desirable is an intervention-free data exchange and a negotiation process that mediates between product requirements and setup conditions. To this end, this paper proposes an architecture of a marketplace whose components compare the capabilities of an industrial system with the product requirements and evaluate them in terms of their suitability to meet the desired requirements. An approach for the rapid recognition of equality in chemical compounds using GCN is examined in detail and transferred to an industrial context.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"16 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":"115829166","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/ICIT46573.2021.9453614
P. L. García, Jesús López Merino, A. P. Asensio, M. García-Plaza, S. A. Gómez
The addition of energy storage systems into the grid will allow to mitigate the effects of imbalances caused by the uncertainties of renewable energy sources. Energy storage facilities would give the grid more reliability and efficiency. One of the applications of these facilities is energy arbitrage, which is the trade of energy with the grid using price variability through the day to obtain a benefit. To impulse the investments on energy storage systems connected to the grid, they must be economically viable. The arbitrage operation can be optimized to ensure that viability. The optimization can improve the device’s profitability by controlling its degradation. This degradation management can be done in different perspectives attending to economical considerations which may change the way that profitability is viewed. In this paper, the mitigation of this deterioration process is done with two approaches by whether considering it as an operational or as an opportunity cost. Both approaches are compared, with simulation results of a Li-ion Battery Energy Storage System (BESS) performing arbitrage on the Spanish day-ahead electricity market. The main contribution of this work is the opportunity cost concept, which uses a more realistic calculation of degradation impact on arbitrage schedule.
{"title":"Analysis of methods to improve energy storage arbitrage benefit considering capacity degradation","authors":"P. L. García, Jesús López Merino, A. P. Asensio, M. García-Plaza, S. A. Gómez","doi":"10.1109/ICIT46573.2021.9453614","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453614","url":null,"abstract":"The addition of energy storage systems into the grid will allow to mitigate the effects of imbalances caused by the uncertainties of renewable energy sources. Energy storage facilities would give the grid more reliability and efficiency. One of the applications of these facilities is energy arbitrage, which is the trade of energy with the grid using price variability through the day to obtain a benefit. To impulse the investments on energy storage systems connected to the grid, they must be economically viable. The arbitrage operation can be optimized to ensure that viability. The optimization can improve the device’s profitability by controlling its degradation. This degradation management can be done in different perspectives attending to economical considerations which may change the way that profitability is viewed. In this paper, the mitigation of this deterioration process is done with two approaches by whether considering it as an operational or as an opportunity cost. Both approaches are compared, with simulation results of a Li-ion Battery Energy Storage System (BESS) performing arbitrage on the Spanish day-ahead electricity market. The main contribution of this work is the opportunity cost concept, which uses a more realistic calculation of degradation impact on arbitrage schedule.","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":"115499039","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/ICIT46573.2021.9453530
Héctor J. Ferreira, S. Kouro, C. Rojas, N. Muller, S. Rivera
In conventional EV powertrains the main energy storage system is based on battery banks. Potential higher current stress on battery during transient operation can considerably reduce its expected lifetime, while battery size is overrated to respond under heavy transient demands. The regenerative braking capability is also getting limited due to its charging dynamic constraints. Hybrid Energy Storage Systems (HESS) based on batteries and supercapacitors (SC) have the potential to solve this issue. However, SCs size and weight can deteriorate the power density of the solution. In this paper, a Partial Power Configuration (PPC) based on Dual-Active-Bridge (DAB) is proposed as a power interface to increase the power density of an HESS-based EV powertrain. A comprehensive efficiency analysis is provided, while transient dynamic results are provided to validate the proposed power configuration.
{"title":"Bidirectional Partial Power DC-DC Configuration for HESS interface in EV Powertrains","authors":"Héctor J. Ferreira, S. Kouro, C. Rojas, N. Muller, S. Rivera","doi":"10.1109/ICIT46573.2021.9453530","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453530","url":null,"abstract":"In conventional EV powertrains the main energy storage system is based on battery banks. Potential higher current stress on battery during transient operation can considerably reduce its expected lifetime, while battery size is overrated to respond under heavy transient demands. The regenerative braking capability is also getting limited due to its charging dynamic constraints. Hybrid Energy Storage Systems (HESS) based on batteries and supercapacitors (SC) have the potential to solve this issue. However, SCs size and weight can deteriorate the power density of the solution. In this paper, a Partial Power Configuration (PPC) based on Dual-Active-Bridge (DAB) is proposed as a power interface to increase the power density of an HESS-based EV powertrain. A comprehensive efficiency analysis is provided, while transient dynamic results are provided to validate the proposed power configuration.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"9 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":"121902592","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/ICIT46573.2021.9453485
S. Kimbrough, H. Yilmaz
Energy modeling frequently relies on time series data, whether observed or forecasted. This is particularly the case, for example, in capacity planning models that use hourly production and load data forecasted to occur over the coming several decades. This paper addresses the attendant problem of performing sensitivity, robustness, and other post-solution analyses using time series data. We propose an efficient and relatively simple method, which we call the symmetric block resampling method, a non-parametric bootstrapping approach, for generating arbitrary numbers of time series from a single observed or forecast series. The paper presents and assesses the method. We find that the generated series are both visually and by statistical summary measures close to the original observational data. In consequence these series are credibly taken as stochastic instances from a common distribution, that of the original series of observations. We find as well that the generated series induce variability in properties of the series that are important for energy modeling, in particular periods of under-and over-production, and periods of increased ramping rates. In consequence, series produced in this way are apt for use in robustness, sensitivity, and in general post-solution analysis of energy planning models. These validity factors auger well for applications beyond energy modeling.
{"title":"A Symmetric Block Resampling Method to Generate Energy Time Series Data","authors":"S. Kimbrough, H. Yilmaz","doi":"10.1109/ICIT46573.2021.9453485","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453485","url":null,"abstract":"Energy modeling frequently relies on time series data, whether observed or forecasted. This is particularly the case, for example, in capacity planning models that use hourly production and load data forecasted to occur over the coming several decades. This paper addresses the attendant problem of performing sensitivity, robustness, and other post-solution analyses using time series data. We propose an efficient and relatively simple method, which we call the symmetric block resampling method, a non-parametric bootstrapping approach, for generating arbitrary numbers of time series from a single observed or forecast series. The paper presents and assesses the method. We find that the generated series are both visually and by statistical summary measures close to the original observational data. In consequence these series are credibly taken as stochastic instances from a common distribution, that of the original series of observations. We find as well that the generated series induce variability in properties of the series that are important for energy modeling, in particular periods of under-and over-production, and periods of increased ramping rates. In consequence, series produced in this way are apt for use in robustness, sensitivity, and in general post-solution analysis of energy planning models. These validity factors auger well for applications beyond energy modeling.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"66 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":"125441570","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/ICIT46573.2021.9453525
Marcos Cevallos, Abraham Plua, Javier Urquizo
In respiratory control design there is a demand for technologies that integrate control systems with equipment efficiently. This research presents the model of a respiratory control to improve the levels of oxidation mainly due to quality of the air or for atmospheres with deficiencies of oxygen. In general, there is a complexity to obtain the mathematical models of a physiological breathing system associated to the concentration of the oxygen in the brain and in the body tissues. However, the model is designed by taking data into experimental tests for the plant or equipment modelling. In this research the control was developed in an Open-source electronic prototyping platform system. The control has two inputs and an output. In the methodology we obtain the transfer function of the plant controller. For the analysis of the closed loop control a system high-level model description was developed. Through these tools the controller selection and the stability analysis were made for a better performance. With the application of these methodologies the percentage overshoot and the settling time of the system were optimized. Finally, with a single-input, single-output (SISO) tool for controllers in feedback systems, the frequency responses of the close-loop system were analysed using the Nichols criteria. The present results are significant in at least one major respect that performance of the artificial respiration equipment was improved using these combined technologies.
{"title":"Respiratory control design to improve body haemoglobin levels","authors":"Marcos Cevallos, Abraham Plua, Javier Urquizo","doi":"10.1109/ICIT46573.2021.9453525","DOIUrl":"https://doi.org/10.1109/ICIT46573.2021.9453525","url":null,"abstract":"In respiratory control design there is a demand for technologies that integrate control systems with equipment efficiently. This research presents the model of a respiratory control to improve the levels of oxidation mainly due to quality of the air or for atmospheres with deficiencies of oxygen. In general, there is a complexity to obtain the mathematical models of a physiological breathing system associated to the concentration of the oxygen in the brain and in the body tissues. However, the model is designed by taking data into experimental tests for the plant or equipment modelling. In this research the control was developed in an Open-source electronic prototyping platform system. The control has two inputs and an output. In the methodology we obtain the transfer function of the plant controller. For the analysis of the closed loop control a system high-level model description was developed. Through these tools the controller selection and the stability analysis were made for a better performance. With the application of these methodologies the percentage overshoot and the settling time of the system were optimized. Finally, with a single-input, single-output (SISO) tool for controllers in feedback systems, the frequency responses of the close-loop system were analysed using the Nichols criteria. The present results are significant in at least one major respect that performance of the artificial respiration equipment was improved using these combined technologies.","PeriodicalId":193338,"journal":{"name":"2021 22nd IEEE International Conference on Industrial Technology (ICIT)","volume":"16 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":"129998436","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}
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