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Design of a Digital Phase Lead-and-Lag Voltage control based on Frequency Response Approach for Single-Phase Half-Bridge DC-AC Converters 15

Design of a Digital Phase Lead-and-Lag Voltage Control based...

引用

15th IEEE International Conference on Industry Applications, INDUSCON 2023

作者： Buzzi, Henrique Eissmann Busarello, Tiago Davi Curi Péres, Adriano Dept. of Control Automation and Computing Engineering Federal University of Santa Catarina Blumenau Brazil

ISBN: (纸本)9798350314182

Grid-forming inverters is getting special attention of industries and academia due to their important role in the realization of microgrids. A crucial feature of them is to have an accurate voltage control. This paper proposes a digital phase lead-and-lag voltage control based on frequency response approach for single-phase half-bridge DC-AC converters. Initially, the system is modeled through the small-signal technique. Then, the controller is designed based on the frequency response approach. The discretization through Tustin and Backward methods are presented and compared. Moreover, designing the controller in discrete-time domain by conventional methods using the fictitious w-domain is also presented. The system is tested in a controller Hardware-in-Loop setup, where the power topology runs in the HIL402 device and the digital voltage controller runs in the TMS320FF28335 digital signal controllers. Scenarios like initialization, nonlinear load and oscillation at the DC voltage are performed. Results show the efficacy of the methodology proposed in this paper. ©2023 IEEE.

关键词： discretization Half-Bridge converter hardware-in-loop voltage control

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A Local Distance Descriptor for 3D Point Clouds 5

A Local Distance Descriptor for 3D Point Clouds

引用

5th International Conference on Computer Vision and Computational Intelligence, CVCI 2024

作者： Li, Wei Mudiwa, Allen Zhang, Lu Dept. of Automation School of Electrical and Control Engineering SUST Xi’an China School of Liberal Arts XATU Xi’an China

ISBN: (数字)9781510680067

ISBN: (纸本)9781510680050

Extracting 3D features from point cloud data is the central component for the automatic repair system of ancient ceramic fragments developed by us. This paper presents a local 3D point clouds descriptor for individual point on various surfaces based on the distances among the point’s neighborhood, which providing feature extracting service to the system. The descriptor use the distance between the point with its k-neighborhoods, which are chosen by a adjustable search radius, to identify the surface type of the ceramic fragments. The descriptor then utilize and maintain the existed local distance information from some selected point to generate feature vectors for accurate point matching which will ease the restoration work. To validate the algorithm, experiments on real data are performed and compared with other similar descriptors. The results show that our descriptor can provide reliable identification performance and also do not introduce any local information loss. The descriptor are also a non-geometric deformation operation, so it has the potential to be a commonly used intermediate algorithm in many point cloud applications. © 2024 SPIE.

关键词： Restoration

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Criterion for Sufficiently Large Dither Amplitude to Mitigate Non-linear Glitches

Criterion for Sufficiently Large Dither Amplitude to Mitigat...

引用

2023 IEEE Conference on control Technology and Applications, CCTA 2023

作者： Faza, Ahmad Leth, John Eielsen, Arnfinn A. University of Stavanger Dept. of Energy and Petroleum Engineering Norway Aalborg University Dept. of Electronic Systems Automation & Control Denmark

ISBN: (纸本)9798350335446

A model describing glitch disturbances is introduced and analysed. The model is used to find the response of glitch disturbances when adding a periodic dither to the input and applying low-pass filtering to the output. This averaged response is used to find a criterion to determine a sufficiently large dither amplitude that will make the averaged glitch disturbances appear as a constant on the output of the low-pass filter. An important resulting property is that the averaged response to glitch disturbances is independent of the model input. By fitting the model to the measured response of a common off-the-shelf digital-to-analogue converter, simulations are used to verify the analytical results. © 2023 IEEE.

关键词： Low pass filters

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Design and Development of Smart Cervical Support System 7

Design and Development of Smart Cervical Support System

引用

7th IEEE Pune Section International Conference, PuneCon 2024

作者： Sahu, Bhanupriya A. Yadav, Akanksha S. Gade, Mansi V. Hanwate, Sandeep D. Lakhekar, Girish V. Pawar, Satish A. G H Raisoni College of Engg & Mgmt Dept. of Electronics and Tele-Communication Engineering Pune India Pune Dept. of Instru & Control Engineering Pune India Akhuratha Sonics & Automation Pune India

ISBN: (纸本)9798331527822

In the last few decades, it has been observed that accidental patients are getting more severe injuries while handling the injured person due to spinal/neck injuries or not enough emergency support at the spot. Thus, we designed a portable device to support the human cranial and neural system in the neck region, which includes the top vertebral bones and major nerves. To avoid damaging the major nerve, emergency support staff must handle the unconscious individual with extreme caution after they have been hurt. If it is injured, the individual may experience compression, laceration, or contusion of the spinal cord, which may result in a coma, paralysis, or long-term repercussions on the neurological system. This article provides the solutions and discusses the challenges of implementing the GPS-based emergency cervical support system that is capable of activating an airbag in life-threatening circumstances. The system is developed with the help of various sensors and a digital controller. Explaining the design steps and the assembly arrangement will help the neck area be restrained and keep it as straight as possible. Hence, that saves the injured person from menacing injuries. © 2024 IEEE.

关键词： Neurons

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Synthesis of Model Predictive control for an Electrohydraulic Servo System Using Orthonormal Functions 5

Synthesis of Model Predictive Control for an Electrohydrauli...

引用

5th IEEE International Conference on Communications, Information, Electronic and Energy Systems, CIEES 2024

作者： Mihalev, Georgi Yordanov, Stanimir Ormandzhiev, Krasimir Stoycheva, Hristina Todorov, Todor Technical University of Gabrovo Dept. of Automation Information and Control Systems Gabrovo Bulgaria Technical University of Gabrovo Dept. of Power Engineering Gabrovo Bulgaria Technical University of Gabrovo Dept. of Comunication Technique and Technologies Gabrovo Bulgaria

ISBN: (纸本)9798350352863

The paper presents the implementation of a Continuous-Time Model Predictive control (CMPC) regulator for controlling an electrohydraulic servo system. The control object is a test bench consisting of three modules and a PC-based data acquisition and control system. The system is modeled in state-space form, accounting for parametric uncertainties. The synthesis of the model predictive controller is performed by approximating the control signal using Laguerre orthonormal functions. The article includes mathematical formulas and relationships that illustrate the modeling approach. Simulations and robust analysis of the closed-loop system are conducted. Through a real-time control system, experimental data and graphs are obtained, demonstrating the performance and optimality of the synthesized control strategy. © 2024 IEEE.

关键词： Model predictive control

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A Probabilistic Topology Inference Method for Networked Dynamical System via Single Excitation 63

A Probabilistic Topology Inference Method for Networked Dyna...

引用

63rd IEEE Conference on Decision and control, CDC 2024

作者： Jiao, Qing Li, Yushan He, Jianping Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Engineering Research Center of Intelligent Control and Management Dept. of Automation Shanghai China

ISBN: (纸本)9798350316339

A growing number of works have investigated inferring the topology of networked dynamical systems from observations, such as to better understand the system behaviour. Despite the tremendous advances, most of them require the observations to be abundant. This paper focuses on inferring the topology by injecting single excitation on a node and collecting several steps of noisy observations. The problem is challenging because the noises cannot be depressed in several observations and are mixed with the injected excitation, making it hard to directly reveal the topology. To practice, we develop a probabilistic method based on the hypothesis test framework. First, we infer the neighbors that are within h-hop of the excited node and derive the accuracy guarantees. Then, we extend the method to infer the exact h-hop neighbors. A computable lower bound for the accuracy probability is established to provide confidence support in the inference procedures. Furthermore, we give the conditions of excitation input to ensure a desired inference probability, which provides guidance for the input design. Numerical simulations are conducted to verify the effectiveness of the proposed method. © 2024 IEEE.

关键词： Network topology

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Power Loss Analysis of Energy Management System with Model Predictive control in Mae Hong Son Microgrid 3

Power Loss Analysis of Energy Management System with Model P...

引用

3rd IEEE International Conference on Power Electronics, Intelligent control and Energy Systems, ICPEICES 2024

作者： Prapanwattana, Nattakit Dechawatanapaisal, Donlapat Banjerdpongchai, David Rajan, Abhishek Center of Excellence in Intelligent Control Automation for Process Systems Chulalongkorn University Faculty of Engineering Dept. of Electrical Engineering 254 Phayathai Rd Bangkok Pathumwan10310 Thailand National Institute of Technology Sikkim Dept. of Electrical Engineering South Sikkim Ravangla737139 India

ISBN: (纸本)9798350387193

Energy management system (EMS) is an important tool for energy efficiency and reliability of the power system. The optimal power dispatch of energy resources can be obtained using the nonlinear model predictive control (NMPC). It is formulated as an optimization problem subject to linear and nonlinear constraints. Although the existing system works well under the current conditions, power loss has not been considered. Power loss in transmission lines occurs due to their resistance and a high amount of power flow to loads connecting to the system. The power loss leads to decreased efficiency in the electrical system and reduces the lifespan of equipment because of the high temperature from loss. This paper aims to analyze the power loss in the Mae Hong Son (MHS) microgrid. To achieve the research objectives, we employ the EMS of MHS with NMPC and calculate power loss in transmission lines for a period of 7 days. EMS considers three objective functions, namely, total operating cost, total carbon dioxide emission, and combined economic and emission dispatch and take into account of three seasons consisting of rainy, winter, and summer. © 2024 IEEE.

关键词： Predictive control systems

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Monitoring and Forecasting Quality Indicators of Predough Production in the Bakery Industry 5

Monitoring and Forecasting Quality Indicators of Predough Pr...

引用

5th IEEE KhPI Week on Advanced Technology, KhPIWeek 2024

作者： Lutska, Nataliia Zaiets, Nataliia Vlasenko, Lidiia Zhyltsov, Andrii Dept. of Automation and Computer Technologies of Control Systems National University of Food Technologies Kyiv Ukraine dept. of Automation and Robotic Systems National University of Life and Environmental Sciences of Ukraine Kyiv Ukraine Dept. of Software Engineering and Cyber Security State University of Trade and Economics Kyiv Ukraine Dept. of Electromagnetic Systems The Institute of Electrodynamics The National Academy of Sciences of Ukraine Kyiv Ukraine

ISBN: (纸本)9798350384499

The work demonstrates the process of developing a machine learning model for a system for monitoring and controlling the quality of predough at a bakery. This system will provide continuous analysis of the predough parameters, such as temperature, humidity, lifting force and titranic acidity, which will ensure timely detection of deviations in the quality of the predough and avoid production problems. In addition, it will help automate the quality control process and ensure the stability of production processes. Analysis and forecasting of dough parameters will improve the quality of produced bread or other bakery products. Management based also on the predicted values of technological indicators of the predough will allow the enterprise to avoid unnecessary costs of materials and energy and increase economic efficiency. As part of the study, seven machine learning models were created and reviewed, including three linear and four varieties of binary decision trees. An analysis of the best model - a regression decision tree - was carried out, confirming its effectiveness and the validity of the resulting hierarchical structure, in particular, the prediction of important indicators of predough with a high degree of reliability, which indicates its importance in practical applications in production. The created model can be used to monitor and control product quality in real time, allowing operators to quickly identify and correct any deviations in process performance. Also, by analyzing changes in the variables of the predough production process, it is possible to identify precursors of possible production accidents or deviations in product quality, which will allow timely measures to be taken to avoid them. ©2024 IEEE.

关键词： Bakeries

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Power Quality Enhancement of DSTATCOM Using E2PLL-Based control Method for Wind Energy Applications 15

Power Quality Enhancement of DSTATCOM Using E2PLL-Based Cont...

引用

15th International Symposium on Industrial Electronics and Applications, INDEL 2024

作者： Ozer, Ali Sait Sevilmis, Fehmi Karaca, Hulusi Ahmed, Hafiz Konya Technical University Dept. of Control and Automation Technology Konya Turkey Selçuk University Dept. of Electrical and Electronics Engineering Konya Turkey University of Sheffield Nuclear Advanced Manufacturing Research Centre Derby United Kingdom

ISBN: (纸本)9798350352320

DSTATCOM is most commonly used to regulate the voltage generated by the SEIG used in wind turbines. DSTATCOM provides the reactive power required by the SEIG and the load. It uses the DC bus voltage to provide the required reactive power. For effective control, the DC bus voltage must be constant at the desired value and the required reactive power must be correctly determined. This also requires correct estimation of the reference source currents. When the system is loaded with non-linear and unbalanced loads, if the load currents are not well filtered, the active and reactive components of the load currents will be incorrectly estimated. In this paper, an E2 PLL-based control algorithm with superior filtering capability is proposed for the control of SEIG loaded with nonlinear and unbalanced load. The proposed algorithm is tested under nonlinear and unbalanced load conditions. The obtained results clearly prove the effectiveness of the E2 PLL-based control algorithm. © 2024 IEEE.

关键词： Windmill

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Identification and control of a Linear Time-Periodic Test Bench Using Harmonic Transfer Functions and LQR controllers 9

Identification and Control of a Linear Time-Periodic Test Be...

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9th International Conference on control, Decision and Information Technologies, CoDIT 2023

作者： Sert, Basak Catalbas, Bahadir Uyanik, Ismail Hacettepe University Dept. of Electrical and Electronics Engineering Ankara Turkey Aselsan Inc. Defence Systems Technologies Division Ankara Turkey Yildiz Technical University Dept. of Control and Automation Engineering Istanbul Turkey

ISBN: (纸本)9798350311402

The increased need for accurately modeling the input-output characteristics of linear time-periodic (LTP) systems necessitates novel identification and control algorithms as well as new test benches for their experimental validation. This paper introduces a simple-to-build test bench for the identification and control of LTP systems. We mechanically coupled the shafts of two DC motors and fed back the angular velocity to the second motor with a time-periodic modulation. This allowed us to imitate a time-periodic load for the first DC motor, thereby yielding an experimental LTP plant. We used Matlab/Simulink target hardware support to implement the entire software in Simulink, which greatly simplifies input design, data collection, and analysis as compared to embedded programming. We used constant-frequency sinusoidal signals for the data collection on the experimental test bench. Subsequently, we estimated the harmonic transfer functions and identified the parameters of a state-space model of the proposed LTP system. We then designed a time-periodic controller in order to regulate the output of the LTP system. We designed a reference-tracking controller along with a Linear Quadratic Integrator (LQI) to improve the system performance. We validated our results through experiments on the physical LTP system plant. © 2023 IEEE.

关键词： DC motors

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