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检索条件"任意字段=3rd International Conference on Robotics and Control Engineering, RobCE 2023"

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Development of a Novel Piston-Actuated Bio-printer for Tubular Structure 3

Development of a Novel Piston-Actuated Bio-printer for Tubul...

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3rd international conference on Mechanical, Electronics, and Electrical and Automation control, METMS 2023

作者： Liua, Kun Linga, Gang Xiong, Shaoping China Agricultural University College of Engineering Beijing100083 China

ISBN: (纸本)9781510666689

There is growing demand of biological tubulars considering the scarcity of acceptable donor tissues for organ transplantation. 3D bio-printing organs has proven to be a lifesaver for tubular illness patients. However, most bio-printers are based on pneumatic actuation system, which have significant ink supply control delay due to the high air compressibility. This study proposes and describes a novel piston-Actuated bio-printer for tubular structure, including background information, software, and hardware. It is validated that this bio-printer successfully printed different sizes of tubular structures with good position accuracy and ink supply controllability, which shall support cultivation of biotubulars of future use. © 2023 SPIE. All rights reserved.

关键词： 3D printing

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Advances in Power Quality Enhancement: A Comprehensive Review of Custom Power Devices and Mitigation Strategies 3

Advances in Power Quality Enhancement: A Comprehensive Revie...

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3rd international conference on Energy, Power and Electrical engineering, EPEE 2023

作者： Namdev, Purvi Singh, Rahul Ies College of Technology Ies University Electrical & Electronics Engineering Department Bhopal India

ISBN: (纸本)9798350318180

Addressing power quality issues in distribution systems is of utmost importance for both consumers and suppliers. By effectively mitigating these issues, benefits such as increased efficiency, cost reduction, uninterrupted power supply, and minimized maintenance needs can be realized. Custom power devices have emerged as viable solutions to tackle challenges like voltage fluctuations, transients, imbalances, and harmonic distortions in distribution systems. Among these devices, the Unified Power Quality Conditioner (UPQC) and the Photovoltaic Unified Power Quality Conditioner (PV-UPQC) stand out for their remarkable ability to improve power quality in distribution systems. Over the years, researchers have proposed various structural configurations of UPQC and PV-UPQC to enhance their performance. This study aims to comprehensively review the existing literature on UPQC and PV-UPQC models and evaluate how different structural setups impact the devices' performance and overall distribution system quality. Furthermore, the investigation delves into the characteristics, applications, and control strategies employed by these UPQC and PV-UPQC configurations to effectively alleviate power quality issues. By gaining insights from this extensive review, a more profound comprehension of the strategies for augmenting power quality in distribution systems can be achieved. © 2023 IEEE.

关键词： control techniques custom power devices distribution systems mitigation techniques performance enhancement Photovoltaic Unified Power Quality Conditioner (PV-UPQC) Power quality structural configurations Unified Power Quality Conditioner (UPQC)

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Sensorless control of Synchronous Reluctance Motors based on Newton-Raphson Iteration Algorithm 3

Sensorless Control of Synchronous Reluctance Motors based on...

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3rd international conference on Electrical Machines and Drives, ICEMD 2023

作者： Nikmaram, Behnam Mousavi, Mahdi S. Khalaji, Zahra Davari, S. Alireza Rodriguez, Jose Fazeli, Mehdi Shahid Rajaee Teacher Training University Department of Electrical Engineering Tehran Iran Raja University Faculty of Technical and Engineering Qazvin Iran Universidad San Sebastian Faculty of Engineering Santiago Chile IRIEE ACECR Department of Electrical Converters and Power Systems Tehran Iran

ISBN: (纸本)9798350393743

In this paper, a position estimation algorithm is proposed for sensorless control of synchronous reluctance motors (SynRMs) using the Newton function and a closed-loop flux model. The proposed method is a phase-locked loop (PLL) technique, in which the classic proportional-integral (PI) controller is replaced by a Newton-Raphson (NR) iteration algorithm. Hence, the problem of designing PI coefficients is resolved. The active flux concept is utilized as the Newton function. To obtain the active flux, a closed-loop flux model is presented using nonlinear feedback. This methodology compensates for uncertainties such as parameter mismatch, DC offsets, and inaccurate sensor gain errors to ensure the precise estimation of the position in medium and high-speed ranges. The NR-based PLL is converged only in three iterations. Therefore, the dynamic response of the proposed method is faster than using a classic PI controller. The proposed method is validated through MATLAB-Simulink simulations and experimental tests. The results show the fast and robust performance of the position estimation in various test conditions. © 2023 IEEE.

关键词： Phase locked loops

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Combined Adaptive Backstepping and LQR control for Inverted Pendulum 3

Combined Adaptive Backstepping and LQR Control for Inverted ...

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3rd IEEE international conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2023

作者： Li, Xiaolin Zhang, Yongli Si, Wei Li, Xinqi Pang, Dangfeng Tianjin University of Technology and Education School of Automation and Electrical Engineering Tianjin China TianJin Keylaboratory of Information Sensing & Intelligent Control Tianjin China School of Information Technology Beijing Institute of Technology Guangdong Zhuhai China

ISBN: (纸本)9781665490788

In this paper, a control strategy using adaptive backstepping control combined with optimal control is proposed to solve the problem of stable control of a linear inverted pendulum in the presence of external disturbances. The kinematic model of a one-stage linear inverted pendulum is derived using Lagrange's theorem, and then a disturbance is introduced to establish a suitable Lyapunov function to design an adaptive update control rate to control the pendulum angle and attenuate the effect of the disturbance. Then the optimal controller is designed to control the trolley position, and the LQR is optimized by a genetic algorithm to form the controller of the whole linear inverted pendulum. Finally, the effectiveness and anti-disturbance capability of the method are verified by Simulink simulation. © 2023 IEEE.

关键词： Genetic algorithms

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Design of Magnetic Element Parameters for Optimizing Current Stress in Dual Active Bridge DC-DC Converters 3

Design of Magnetic Element Parameters for Optimizing Current...

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3rd international conference on Energy, Power and Electrical engineering, EPEE 2023

作者： Wang, Qinglong Yuan, Peng Kong, Lingcheng Yu, Changzhou Xu, Haizhen Ding, Jingang School of Advanced Manufacturing Engineering Hefei University Hefei China Hefei Shangyuan Electric Technology Co. Ltd Hefei China

ISBN: (纸本)9798350318180

A magnetic component parameter design method is studied to optimize current stress in dual active bridge (DAB) DC-DC converters, which can cause a sharp increase in current stress when voltage mismatch occurs, leading to increased switching device losses and reduced switching device lifespan. Firstly, after considering the factors that affect current stress, a mathematical model of current stress is constructed. Secondly, combined with single phase shift control, a three-dimensional surface map of current stress is constructed, which can intuitively reflect the corresponding current stress under different magnetic component parameters, making it easy to quickly select and optimize the magnetic component parameters under current stress. Finally, an experimental platform for the dual active bridge DC-DC converter was built, and the correctness and feasibility of the design scheme were verified through experiments. © 2023 IEEE.

关键词： Current stress Dual active bridge converter Magnetic Element parameters Single phase shift control

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Collaborative control Strategy Design of Photovoltaic Energy Storage and DC Microgrid for Electric Vehicles Using Wireless Power Transfer 3

Collaborative Control Strategy Design of Photovoltaic Energy...

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3rd IEEE international conference on Industrial Electronics for Sustainable Energy Systems, IESES 2023

作者： Chen, Huaguo Geng, Yuyu Shen, Qiping Li, Jifeng Lu, Qingyang Chongqing University of Technology School of Electrical and Electronic Engineering Chongqing China

ISBN: (纸本)9798350324754

Using wireless power transfer (WPT) technology to supply power to electric vehicles (EVs) has the advantages of safety, convenience, and high degree of automation. Furthermore, considering the use of photovoltaic (PV) and storage DC microgrids as energy inputs, it can avoid the impact of EV charging on the power grid. Based on this, a collaborative control strategy for WPT of EVs and PV and storage microgrid is proposed in this paper. Firstly, the working characteristics of the PV power generation system, energy storage system, and WPT system for EVs are analyzed, and the circuit models for each link is constructed. Next, the energy supply relationship between the multiple links is studied and designed, and an energy management strategy based on constant DC bus voltage is proposed. The PV power generation system adopts maximum power point tracking (MPPT) control. When there is surplus energy, the energy storage system absorbs the excess energy, and when there is insufficient energy, the energy storage system fills the energy gap. Finally, a 30 kW EV power supply system is simulated to verify the feasibility of the proposed topology and the effectiveness of the control strategy. © 2023 IEEE.

关键词： Energy management

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mpQUAD: Multipath Quad TCP Congestion control in FANETs 3

mpQUAD: Multipath Quad TCP Congestion Control in FANETs

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3rd international conference on Advances in Computing, Communication, Embedded and Secure Systems, ACCESS 2023

作者： Subash, Neethu Nithya, B. Bangar, Rahul Patel, Vipul National Institute of Technology Computer Science and Engineering Tiruchirappalli India

ISBN: (纸本)9798350346169

AIMD (Additive Increase Multiplicative Decrease) and CUBIC (Cubic Congestion control) are the two commonly used algorithms for network congestion control in the UAV (Unmanned Aerial Vehicle). AIMD and CUBIC can control the data transfer rate between the UAV and the ground station or other UAVs in a swarmed network. This is particularly important for real-time applications using flying adhoc networks (FANET), such as surveillance or monitoring, where timely data delivery is critical. Multiptah TCP utilizes individual subflows to implement congestion control. Nevertheless, the default congestion management mechanism for subflows in an MPTCP connection uses a linked increase adaptation technique to prevent the congestion window from rapidly expanding due to subflows independently developing their own congestion windows. The throughput of MPTCP connections may decline if fast algorithms like CUBIC TCP are employed in high speed congested network. This work proposes mpQUAD, a novel CUBIC TCP-based high-speed congestion management technique for MPTCP. It exposes specific control parameters of the algorithm to tweak the systems TCP congestion control behavior. The sender's congestion window can be controlled by changing the multiplicative factor and the rate at which it grows, by the user. The throughputs of MPTCP flows decrease in the conventional congestion control algorithms. The limited bandwidth and high mobility of FANETs can cause significant delay, which the proposed congestion control algorithm mpQUAD can mitigate. © 2023 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Enhancement of Power Sharing in an Islanded AC Microgrid Using Modified Reverse Droop control Strategy 3

Enhancement of Power Sharing in an Islanded AC Microgrid Usi...

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3rd IEEE international conference on Smart Technologies for Power, Energy and control, STPEC 2023

作者： Mishra, Bibhudatta Pattnaik, Monalisa National Institute of Technology Dept. of Electrical Engineering Rourkela India

ISBN: (纸本)9798350304732

In this paper, an attempt has been made to share the power more accurately among two parallel inverters using a droop-based decentralized control scheme. One of the key problems in exact power-sharing using reverse droop controller (P-V/Q-f) is line impedance mismatch. It initiates several issues regarding frequency and voltage deviation, circulating current, PCC voltage instability, etc. To cater to such problems a modified virtual impedance control loop is added to the existing P-V/Q-f control loop. The reverse droop control scheme is used on a system of two DGs with the same line impedances and different line impedances. Equal power sharing is achieved with a system having the same line impedance, whereas the existing reverse droop controller fails in a mismatched line impedance condition. Hence, the failure of the existing controller is compensated by the inclusion of an additional virtual impedance-based control loop. A block diagram model has been constructed in MATLAB/SIMULINK domain. The simulation results show that the proposed controller can accurately share the active and reactive power keeping the system frequency and PCC voltage within the prescribed limit for a load transient condition. © 2023 IEEE.

关键词： AC Microgrid Frequency Restoration Power Sharing Reverse Droop control Virtual Impedance

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Techno-Economic Analysis of Electric Vehicle Charging Station Using Sustainable Energy Sources 3

Techno-Economic Analysis of Electric Vehicle Charging Statio...

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3rd IEEE international conference on Smart Technologies for Power, Energy and control, STPEC 2023

作者： Chandra, Agrima Gaur, Prerna Tomar, Anuradha Netaji Subhas University of Technology Department of Electrical Engineering New Delhi India Netaji Subhas University of Technology Department of Instrumentation and Control Engineering New Delhi India

ISBN: (纸本)9798350304732

In this paper a sustainable power generation system for Electric Vehicle Charging Station (EVCS) is proposed. This study explores the feasibility of an EVCS powered by a combination of Fuel Cell (FC), Biomass Generator (BMG) and Solar Photovoltaic (PV) generation. The Hybrid Optimization of Multiple Energy Resources (HOMER) software, a simulation software tool, is employed to perform the techno-economic analysis of the proposed EVCS system. Software's optimization capabilities are utilized to determine the optimized size and configuration of the renewable energy systems, accounting for the EV charging demand using available resources, and local conditions. The results demonstrate the potential of the integrated system to provide reliable and sustainable power for EV charging. The site taken into consideration for the real time load data is of the area CRPW+8G8, Himmat Ganj, Prayagraj, Uttar Pradesh, India (25°26.1'N, 81°50.8E). Overall, this research contributes to the understanding of the feasibility and benefits of integrating fuel cells, biomass, and solar PV in an EVCS and the potential of this sustainable system to reduce greenhouse gas emissions over conventional fossil fuel plants, promote renewable energy utilization, and enhance the sustainability of the transportation sector without stressing on the grid system. © 2023 IEEE.

关键词： Biomass Electric Vehicle Charging Station Fuel cell HOMER Solar PV

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Predicting the Trajectory of AI Utilizing the Markov Model of Machine Learning 3

Predicting the Trajectory of AI Utilizing the Markov Model o...

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3rd IEEE international conference on Computer Communication and Artificial Intelligence, CCAI 2023

作者： Isaac, Matilda Akinola, Olukunle Mobolaji Hu, Bintao Xi'an Jiaotong-Liverpool University School of Internet of Things Suzhou China

ISBN: (纸本)9798350335262

The next generation of Artificial Superintelligence (ASI) poses a variety of important societal problems, including the possible crises and upheavals of the AI machine, which could cause fundamental changes. As the discussion around Artificial Superintelligence underscores the importance of continual dialogue between man and its ability to control technology, it also raises the problem of designing intelligent interactive and collaborative tools and systems to allow this dialogue. Historically, the term 'AI' was used from 1950 to 1975, then fell out of favor during the' AI winter' from 1975 to 1995, and was narrowed to ANI (Artificial Narrow Intelligence). As a result, terms like 'Machine Learning,' 'Natural language Processing,' and 'Data Science' were frequently mislabelled as AI. Today, AI has allowed clinicians to rely heavily on ML which is highly integrated with coding, billing, medical records, scheduling, contracting, medication ordering, and administrative functions. AI is now a thriving industry with massive capital investments and once again is on the verge of a great revolution. There are compelling reasons to investigate artificial super intelligence. This type of AI is capable of surpassing human intellect by expressing cognitive skills and developing its own mental capabilities. ASI is a highly sophisticated, and intelligent type of AI that goes beyond normal intellectual capacity. This paper will discuss the societal impact and the current academic impact of ASI. Finally, this study would attempt to utilize the Markov Decision Model of Machine Learning to predict the trajectory of ASI in the very near future. © 2023 IEEE.

关键词： robotics

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