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A Sparse Quadratic Programming Approach to Supervisory control of Multi-Zone HVAC systems with Consideration of Peak Demand Shaving and Thermal Comfort

A Sparse Quadratic Programming Approach to Supervisory Contr...

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International Conference on electrical engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON

作者： Pasitnat Sasananand David Banjerdpongchai Department of Electrical Engineering Faculty of Engineering Center of Excellence in Intelligent Control Automation for Process Systems Chulalongkorn University Bangkok Thailand

ISBN: (数字)9798350381559

ISBN: (纸本)9798350381566

The HVAC system is one of the major power consuming equipment in buildings. Considering the effective setpoint temperature of each zone can increase efficiency in managing power usage in buildings, leading to the operating cost reduction. This paper presents the design of supervisory control (SC) for multi-zone HVAC systems that aims to minimize the total operating cost (TOC) and the thermal comfort cost (TCC). To minimize the TOC and TCC, both objectives are normalized and combined as a quadratic programming (QP) problem which can be efficiently solved. To achieve the design objective, two methods of SC are developed for multi-zone, namely, centralized SC and decentralized SC. We apply standard QP and sparse QP solvers using interior point method. The numerical results reveal that centralized SC performs better according to a tradeoff curve which TOC and TCC are lower. While both solvers give the same results, sparse solver can provide the solutions faster than interior point method. This paper demonstrates that centralized control is appropriate for implementation in multi-zones buildings and the sparse solver proves to be more suitable in the context of sparse QP problem.

关键词： HVAC Costs Buildings Supervisory control Telecommunications Quadratic programming Sparse matrices

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Diagnostics of the Safety PLC Output Circuit and its Impact on Safety

Diagnostics of the Safety PLC Output Circuit and its Impact ...

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International Carpathian control Conference (ICCC)

作者： Juraj Ždánsky Karol Rástočný Jozef Hrbček Jozef Brtiš Rastislav Pirník Department of Control and Information Systems Faculty of Electrical Engineering and Information Technology University of Žilina Žilina Slovakia

ISBN: (数字)9798350350708

ISBN: (纸本)9798350350715

Safety PLCs are commonly used in industrial applications to implement safety functions. However, they almost always require output circuits for power adaptation between the safety PLC and the controlled technology. This power adaptation also affects safety. This paper focuses on the design of output circuit architecture that allows the use of diagnostic testing to improve safety, even during continuous operation where diagnostic testing is not usually possible.

关键词： circuits Safety Testing

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Design and Implementation of Safety Functions for the CNC Milling Machine

Design and Implementation of Safety Functions for the CNC Mi...

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ELEKTRO

作者： Jozef Brtiš Juraj Ždansky Rastislav Pirník Department of Control and Information Systems Faculty of Electrical Engineering and Information Technology University of Žilina Žilina Slovakia

ISBN: (数字)9798350372359

ISBN: (纸本)9798350372366

The paper deals with the design and implementation of safety functions for a CNC milling machine. It is a relatively small CNC milling machine that does not pose a great danger to trained persons. Because it is used in areas where even untrained persons can come into contact with it, it was necessary to implement a safety system that implements safety functions preventing accidents when entering the dangerous zone of the CNC milling machine. The safety system is implemented based on a safety PLC and the sensors are designed using a two-channel architecture to meet the required SIL (safety integrity level).

关键词： Economics Education Milling Sensor systems Safety Sensors Standards

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The Impact of the Digital Transformation of Education on Literacy 7

The Impact of the Digital Transformation of Education on Lit...

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7th IEEE International Conference and Workshop Obuda on electrical and Power engineering, CANDO-EPE 2024

作者： Farkas, Imre Kovari, Attila Rajcsanyi-Molnar, Monika Institute of Computer Engineering University of Dunaujvaros Department of Computer Systems and Control Technology Dunaujvaros Hungary Eszterházy Károly Catholic University Institute of Digital Technology Faculty of Computer Science Eger Hungary Obuda University Institute of Electronics and Communication Systems Kandó Kálmán Faculty of Electrical Engineering Budapest Hungary John Von Neumann University GAMF Faculty of Engineering and Computer Science Kecskemét Hungary Institute of Social Sciences University of Dunaujvaros Department of Economics and Management Dunaujvaros Hungary

ISBN: (纸本)9798331531119

During the COVID19 epidemic, people of all ages from all walks of life around the world have become inevitably familiar with and almost dependent on the digital tools of the age and the opportunities they offer. A change had to take place very quickly that was unprecedented. This process has also affected education. During the time of the reading lock-in, there was a proliferation of digital curricular content. The second time around, online education came to the fore, thanks to less or well-functioning online platforms, and has since become part of everyday teaching. What is the effectiveness and usefulness of sharing knowledge in this way? Is literacy still needed at all? Can online and hybrid (a controlled mix of face-to-face and online) education replace the well-established contact and face-to-face education? The study show that the respondents believe that online education has had an impact on literacy and that it is perceived to have a positive impact. The results indicate that online education has a positive impact on the literacy levels of students, as it facilitates knowledge acquisition and enhances digital literacy skills. © 2024 IEEE.

关键词： digital education digital literacy digital-informatics literacy

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The Emergence of Artificial Intelligence in Education and its Impact on Individual Literacy in Higher Education 7

The Emergence of Artificial Intelligence in Education and it...

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7th IEEE International Conference and Workshop Obuda on electrical and Power engineering, CANDO-EPE 2024

作者： Farkas, Imre Kovari, Attila Rajcsanyi-Molnar, Monika Institute of Computer Engineering University of Dunaujvaros Department of Computer Systems and Control Technology Dunaujvaros Hungary Eszterházy Károly Catholic University Institute of Digital Technology Faculty of Computer Science Eger Hungary Institute of Electronics and Communication Systems Kandó Kalmán Faculty of Electrical Engineering Obuda University Budapest Hungary John Von Neumann University GAMF Faculty of Engineering and Computer Science Kecskemét Hungary Institute of Social Sciences University of Dunaujvaros Department of Economics and Management Dunaujvaros Hungary

ISBN: (纸本)9798331531119

In the last three years, a new partner has emerged for teachers and educators in the field of education. The mushrooming of applications based on large language models has greatly shaped the educational development fields of the present era. The use of various AI applications has become commonplace among students and teachers alike. Many questions are being raised by researchers in this field. What does the rapid development of AI applications bring to the field of pedagogy? Should the products of such applications be compared with human performance? The form presented in this thesis seeks to answer similar questions. What is the impact of frequent use of these applications on the literacy level of individuals? In which areas do students tend to use these applications? The results indicate that half of the students believe their literacy levels will decrease with the mass emergence of AI applications, while 36% feel it will not change. However, 88 % of students have already dealt with AI-based applications, with 64 % using them several times or more, suggesting a high level of integration into their educational processes. © 2024 IEEE.

关键词： Students

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Deep Reinforcement Learning Method for control of Mixed Autonomy Traffic systems

Deep Reinforcement Learning Method for Control of Mixed Auto...

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International Conference on Multisensor Fusion and Integration for Intelligent systems (MFI)

作者： Xingyu Liu Esa Apriaskar Lyudmila Mihaylova Department of Automatic Control and Systems Engineering University of Sheffield Sheffield United Kingdom Department of Electrical Engineering Faculty of Engineering Universitas Negeri Semarang Semarang Indonesia

ISBN: (数字)9798350368031

ISBN: (纸本)9798350368048

The introduction of autonomous vehicles (AVs) presents a novel approach to regulating and optimising traffic flow through the automated control of AVs. In this context, the AV is defined as the actuator and an optimal control policy is desired to make control decisions. Deep Reinforcement Learning (DRL) is a novel method which aims to maximize the cumulative rewards given by the predefined reward function by making sequential decisions in a stochastic environment. In light of the above, we propose a DRL-based vehicular control method to train an optimal policy for the control of AV in a model-free fashion, and consequently improve the traffic efficiency with the obtained control policy. A single-lane circular road environment with both AV and human-driven vehicles is selected to serve as the mixed autonomy traffic system in the Simulation of Urban MObility (SUMO) [1] traffic simulator, and the Proximal Policy Optimization (PPO) algorithm is applied for the policy improvement. Simulation results demonstrate that our strategy is effective in mitigating the unstable stop-and-go waves, increasing 67.7% of the average driving speed and reducing 19.3% of the average energy consumption in a closed-ring road environment.

关键词： Roads Simulation Heuristic algorithms Stochastic processes Optimal control Deep reinforcement learning Fuels Intelligent systems Traffic congestion Optimization

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Research to Improve the Quality of Servo Motor controller 5

Research to Improve the Quality of Servo Motor Controller

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5th International Conference on control in Technical systems, CTS 2023

作者： Giang, Hoang Thi Thu Chung, Phan Thanh Van, Tran Thuy Khanh, Nguyen Duy HaNoi University of Industry Faculty of Electrical Engineering Hanoi Viet Nam Military Institute of Mechanical Engineering Department for Standards Metrology and Quality Hanoi Viet Nam Saint Petersburg Electrotechnical University 'LETI' Department of Automatic Control Systems Saint Petersburg Russia

ISBN: (纸本)9798350304664

To overcome the disadvantages that traditional controllers bring, in this study, it is proposed to use fractional order controller PIλ instead of conventional PI controller, the research also focuses on improving the quality of the controller. the order controller itself by selecting the computational methods, the discretization methods, and the implementation methods that give the best results. The study conducted simulations and experiments and compared the results with conventional PI controllers, in order to demonstrate the effectiveness of the fractional order controller. © 2023 IEEE.

关键词： controllers

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Fuzzy control system design for wheel slip prevention and tracking of desired speed profile in electric trains

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Asian Journal of control 2022年第1期24卷 388-400页

作者： Moaveni, Bijan Rashidi Fathabadi, Fatemeh Molavi, Ali Center of excellence for Modelling and Control of Complex Systems Faculty of Electrical Engineering K. N. Toosi University of Technology Tehran Iran Department of Electrical and Computer Engineering Western Michigan University MI United States Institute of Robotics and Industrial Informatics Polytechnical University of Catalonia Barcelona Spain

This study proposes an anti-slip control system for electric trains based on the fuzzy logic theory, which prevents the wheels from slipping during the acceleration and simultaneously tracks the desired speed profile. To improve the control performance, the train longitudinal velocity and the slip ratio are estimated. By using a field-oriented control (FOC), the angular speed of the traction motor is controlled. The fuzzy control system determines the desired angular speed of the traction motor as the reference input of FOC to obtain the desired slip ratio and track the desired speed profile. Simulation results show the effectiveness of the control system in various wheel–rail surface conditions based on the real parameters of ER24PC locomotive. © 2020 Chinese Automatic control Society and John Wiley & Sons Australia, Ltd

关键词： Traction motors

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Speed control of a Six-Phase IM with Reactive Power Minimization for a Multi-Modular Matrix Converter Using an Inner PTC 25

Speed Control of a Six-Phase IM with Reactive Power Minimiza...

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2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic control, ICA-ACCA 2022

作者： Maqueda, E. Toledo, S. Caballero, D. Ayala, M. Quinonez, E. Romero, R. Gregor, R. Rivera, M. Universidad Nacional de Asunción Laboratory of Power and Control Systems Faculty of Engineering CP Luque2060 Paraguay Universidad de Talca Faculty of Engineering Department of Electrical Engineering PB Curicó3341717 Chile

ISBN: (纸本)9781665494083

This paper presents the speed control of a six-phase induction machine (SPIM) fed by a multi-modular matrix converter (M-MMC) with input source reactive power minimization, using predictive torque and electromagnetic flux control (PTC). This new system inherits the advantages of both multiphase machines (i.e fault tolerance and better power distribution per phase compared to three-phase machines) and those of M-MMC (i.e smaller size and weight, and no bulky storage elements). In addition, with the M-MMC topology it is possible to use two power generation sources of different characteristics instead of a single three-phase source. Results are provided for speed, torque and flux control of the SPIM and minimization of reactive power at the input source. © 2022 IEEE.

关键词： Reactive power

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Novel Rank-based Features of Atrial Potentials for the Classification Between Paroxysmal and Persistent Atrial Fibrillation

Novel Rank-based Features of Atrial Potentials for the Class...

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2022 Computing in Cardiology, CinC 2022

作者： Moghaddasi, Hanie Hendriks, Richard C. Van Der Veen, Alle-Jan De Groot, Natasja M.S. Hunyadi, Borbala Delft University of Technology Circuits and Systems Faculty of Electrical Engineering Mathematics and Computer Science Delft Netherlands Erasmus University Medical Center Department of Cardiology Rotterdam Netherlands

ISBN: (纸本)9798350300970

Atrial fibrillation (AF) is the most common arrhythmia. Although the exact cause is unclear, electropathology of atrial tissue is one contributing factor. Electropathological characteristics derived from intra-operative epicardial measurements, such as conduction block (CB) and continues conduction delay and block (cCDCB), can be used to assess the severity of AF. In sinus rhythm, however, these parameters do not indicate significant difference between different development stages of AF, such as paroxysmal and persistent AF. Therefore, we propose a methodology to improve AF severity detection using intra-operative electrograms. We propose a model that describes the spatial diversity of atrial potential waveforms during a single beat on the multi-channel electrograms. Based on this model, we derive two novel features. During sinus rhythm, we used 293 beats from patients with a history of paroxysmal or persistent AF. Using a random forest classifier, we achieved 78.42% classification accuracy, while classification based on the CB and cCDCB leads to an accuracy of 58.34%. © 2022 Creative Commons.

关键词： Cardiology

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