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

共 3924 条记录，以下是1731-1740 订阅

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Research on orbital angular momentum mode adaptive control theory in large mode area fiber based on the 5×1 photonic lantern 3

Research on orbital angular momentum mode adaptive control t...

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3rd international Computing Imaging conference, CITA 2023

作者： Yang, Hao Jiang, Zongfu Liu, Wenguang Zhou, Qiong Zhang, Jiangbin Lu, Yao College of Advanced Interdisciplinary Studies National University of Defense Technology Changsha China Nanhu Laser Laboratory National University of Defense Technology Changsha China Hunan Provincial Key Laboratory of High Energy Laser Technology National University of Defense Technology Changsha China

ISBN: (纸本)9781510671409

Adaptive mode control system based on photonic lanterns has been made great progress in achieving stable fundamental mode in large mode area fiber, but there are still difficulties in generating specific spatial mode, such as orbital angular momentum mode. In this paper, purity of the target mode which is obtained by optical correlation filtering method based on computational holograms is chosen to be the evaluation function of the stochastic parallel gradient descent algorithm. The schematic diagram of the adaptive mode control system is improved, which consists of the photonic lantern, phase modulators, optical correlation filtering, detector, controller, etc. A simulation model combining optical correlation filtering method based on computational hologram and stochastic parallel gradient descent algorithm is established, and the numerical simulation results show that the orbital angular momentum mode with topological charge of ±1 and ± 2 is realized, and the corresponding mode purity is above 95% by using this adaptive mode control method based on a 5×1 photonic lantern. © 2023 SPIE.

关键词： Adaptive optics

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Analysis of Electric Vehicle Charging Management and renewable Power Generation based on Transactive control 3

Analysis of Electric Vehicle Charging Management and renewab...

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

作者： Sherkhane, Bhagyashri Govindrao Chavan, Sudarshan L. Aissms College of Engineering Pune India

ISBN: (纸本)9798350304732

Managed electric vehicle (EV) creates a balance between site energy control objectives and vehicle energy requirements. Fleet cars may always have access to the power they need with regulated charging, easing the burden on the site's building infrastructure and fostering a more dependable and stronger grid. Charge the executives programming (CMS) is utilized by armada directors, charging administrators, and others to screen and improve electric vehicle charging activities. The CMS needs to integrate easily to existing systems and be robust, scalable, and easy to use. If you want to compare how your electric vehicle charging station works to going into space. The CMS is the name of the mission control center. A CMS can monitor charging activity and control the network's power usage by connecting directly to EV chargers. To achieve certain goals, it can also adjust the behaviour of the charger within defined bounds. Although the CMS is normally totally automated and doesn't require human intervention, it has the ability to provide life-threatening alarms. Modern EV charging systems assist in optimizing the operations of charging sites in addition to the basic monitoring functions. The CMS can minimise energy usage during periods when energy is most expensive, for instance, if the charging station utilises time-variable energy costs (TOU rates or demand charges). Here, we'll go through the fundamental features, advantages, and use cases of CMS to assist you determine whether you should put it into practice. Transactive energy is a system where anyone connected to the grid is able to buy or sell excess energy. In a transactive energy system, traditional consumers employ DERs like solar panels, wind turbines, and combined heat and power systems to generate their own electricity. Nuclear power plants, hydropower plants, biomass farms, natural gas turbines, and trigeneration units are further DER examples. Although utility companies still exist and still deliver power, the

关键词： Analysis Charging control Electric Generation Management Power Renewable Transactive Vehicle

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Improving Myoelectric control Performance through Optimal EMG Signal Feature Selection 3

Improving Myoelectric Control Performance through Optimal EM...

引用

3rd international conference on Digital Futures and Transformative Technologies, ICoDT2 2023

作者： Nayab, Maham Waris, Asim Imran, Urwah Shafique, Uzma Department of Biomedical Engineering and Sciences Islamabad Pakistan

ISBN: (纸本)9798350330816

Accurate Classification of movements based on electromyography signal is very important for myoelectric control. The key to successful movement classification lies in feature extraction. While many features have been discovered over the years, a large number of them tend to contain similar information, making them redundant. In order to enhance the performance of a classifier, it is essential to choose appropriate features. For better performance of a classifier, choosing appropriate features are very important. In this study, 29 time domain and 4 frequency domain features have been evaluated. Features selection techniques like exhaustive feature selection and sequential forward selection techniques are applied to the feature sets. K nearest neighbor classifier was employed to test the performance of feature set. Feature set consisting of two features log difference absolute mean value and absolute value of the summation of square root showed the best performance with an accuracy of 92.17. For better performance of a classifier, choosing appropriate features is very important and increasing features is also cause of poor performance. © 2023 IEEE.

关键词： Feature Selection

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Scenario-based model predictive control of water reservoir systems 3

Scenario-based model predictive control of water reservoir s...

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3rd Modeling, Estimation and control conference (MECC)

作者： Cestari, Raffaele G. Castelletti, Andrea Formentin, Simone Politecn Milan Dept Elect Informat & Bioengn Pza L Vinci 32 I-20133 Milan Italy

ISBN: (纸本)9781713872344

The optimal operation of water reservoir systems is a challenging task involving multiple conflicting objectives. The main source of complexity is the presence of the water inflow, which acts as an exogenous, highly uncertain disturbance on the system. When model predictive control (MPC) is employed, the optimal water release is usually computed based on the (predicted) trajectory of the inflow. This choice may jeopardize the closed-loop performance when the actual inflow differs from its forecast. In this work, we consider - for the first time - a stochastic MPC approach for water reservoirs, in which the control is optimized based on a set of plausible future inflows directly generated from past data. Such a scenario-based MPC strategy allows the controller to be more cautious, counteracting droughty periods (e.g., the lake level going below the dry limit) while at the same time guaranteeing that the agricultural water demand is satisfied. The method's effectiveness is validated through extensive Monte Carlo tests using actual inflow data from Lake Como, Italy. Copyright 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： Data-based control Robust control control of Constrained Systems Stochastic Optimal control Optimal Operation of Water Resources Systems Uncertainty in Water Resource System control

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Coordinated control strategy of optical storage charging station considering bilateral demand 3

Coordinated control strategy of optical storage charging sta...

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

作者： Zhao, Song Zhang, Qian Du, Ronghua Dang, Shaojia Li, Rongli Huo, Hongyan Zhou, Lei Yu, Haicun Li, Xu Zhao, Wei Xin, Xiaogang Zhang, Guobin Guo, Ruijun Yin, Jianhua Qin, Chengguo Li, Qiuping Co. Ltd. Inner Mongolia Power Research Institute Branch Hohhot010020 China

ISBN: (纸本)9781510666689

The orderly control strategy adopted in the charging station can decrease the peak-valley difference (PVD) and promote the normality and safety of the charging station in the electrical power grid. However, the orderly control strategy will lead to inconvenience for EV s owners to charge and limit its large-scale application. Therefore, it is an urgent problem to reasonably optimize the charging and discharging process of electric vehicles in the optical storage charging station. The research in this paper is mainly aimed at making the grid side meet expectations, and making the EV s owners charge the lowest. In this paper, aiming at the minimum PVD of the grid and the lowest EV s owners charging cost, taking into account the maximum load and EV s owners charging time of the charging station, the genetic algorithm is used to solve the problem, and the coordinated control model for optimizing the charging and discharging behavior of electric vehicles in the optical storage charging station is established. The feasibility of the strategy is verified by an example analysis. The method significantly reduces the PVD of the power grid. © 2023 SPIE.

关键词： Electric vehicles

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Evaluation Method of Object control Capability for Children Based on Nonlinear Dynamics 23

Evaluation Method of Object Control Capability for Children ...

引用

3rd international conference on Bioinformatics and Intelligent Computing, BIC 2023

作者： Wang, Huaijun Li, Chao Zhang, Dongsheng Li, Junhuai Key Laboratory of Network Computing and Security Technology School of Computer Science and Engineering Xi an University of Technology Xi'an China

ISBN: (纸本)9798400700200

DCD (Developmental Coordination Disorder) has become a global problem, and several studies have shown that early detection and intervention are important for the prevention and treatment of DCD in children. To address the problems of low intelligence, simple assessment indexes and single dimension in assessing children's motor coordination, a method based on non-linear dynamics is proposed to assess children's object control ability. Using the child's in-situ ball tapping as the test item, the Kinect and inertial sensors are used to collect hand spatial position information and human motion biomechanical signals during the ball tapping process. The complexity of the signal is reflected by the sample entropy of the motion signal. The approach suggested in this thesis, which uses non-linear kinetic characteristics, enhances the accuracy of behavioral and developmental identification by 1% to 3% when compared to existing methods. The experiments prove that the proposed method has a better recognition rate and stability than the traditional assessment methods. © 2023 ACM.

关键词： Principal component analysis

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The module development for remote control signals of an automatic locomotive signaling system in railway transport 3

The module development for remote control signals of an auto...

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3rd international conference on Optics, Computer Applications, and Materials Science, CMSD 2023

作者： Kurbanov, Janibek F Yaronova, Natalya V. Xidirov, Jasurjon E Achilov, Oybek R Tashkent State Transport University 1 Temiryolchilar Street Mirabad district Tashkent100167 Uzbekistan

ISBN: (纸本)9781510674486

In the field of automation and telemechanics, the main task is to improve the automatic locomotive signaling system (ALS), including the creation of a complex of remote measuring devices using wireless, microprocessor and digital technologies to eliminate malfunctions on railway sections of automatic and semi-Automatic locking. This article presents an analysis of errors in traffic light indicators and the automatic locomotive signaling system by month from the time of the year, which affect the speed of trains, namely, due to a false indicator, the speed decreases, this leads to lagging behind schedule, thereby due to the lack of timely arrival of trains, the company incurs financial losses. All malfunctions arising from a system failure are represented by mathematical expressions, on the basis of which recommendations for elimination are given. A module for receiving information from the locomotive's ALS was developed based on modern wireless technologies, and for the accuracy of checking the system, a stand based on the locomotive's ALS blocks for measuring signals was developed, which corresponded to the exact readings of the parameters of the ALS code signals. The developed module provides an opportunity to instantly notify the site's electromechanics of identified deficiencies in the ALS system. © 2024 SPIE. All rights reserved.

关键词： Railroads

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Application of Variable Theory Domain Fuzzy control Algorithm for Room Temperature control 3

Application of Variable Theory Domain Fuzzy Control Algorith...

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2023 3rd international conference on Mechatronics, Automation and Intelligent control, MAIC 2023

作者： Li, Duanzheng Ahmat, Mutellip Cao, Hongqing Di, Fankai College of Electrical Engineering Xinjiang University Urumqi830047 China Xinjiang Special Equipment Inspection and Research Institute Urumqi830011 China

With the development of automatic control in the HVAC industry, more and more buildings have adopted automatic control of air conditioning, HVAC systems, but most of the control results can not be satisfactory. The research object of this paper is the elevator machine room equipped HVAC, through accurate control of that room temperature can greatly reduce the elevator shutdown caused by the action of the temperature protection circuit, so as to improve the safety of elevator operation. This paper gives three different temperature control methods, establishes the math representation of the temperature system in the machine room, specifically designs the classical PID controllers, Fuzzy PID controllers and variable domain Fuzzy PID controller, and simulates and analyzes the three algorithms respectively, The results indicate that in comparing the above three algorithms, the variable domain fuzzy PID algorithm has an adjustment time of 63s, and the overshooting amount of 0.4%, which is the best among the three control algorithms. © Published under licence by IOP Publishing Ltd.

关键词： Air conditioning

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Review of Low Voltage Ride Through Testing Techniques for Wind Turbine Generators 3rd

Review of Low Voltage Ride Through Testing Techniques for Wi...

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

作者： Lei, Xiao Li, Xuzhe Yao, Weiwei Tian, Xinwen Yuan, Jiaxin Laboratory of Hydro-Wind-Solar Multi-Energy Control Coordination China Yangtze Power Co. Ltd Wuhan China Laboratory of Hydro-Wind-Solar Multi-Energy Control Coordination Wuhan University Wuhan China

ISBN: (纸本)9789819739394

With the increasing global share of wind power and the growing installed capacity of grid-connected wind turbines in China, it is of utmost importance to enhance the low voltage ride through (LVRT) capability of wind turbine generators to avoid significant loss of manpower and economic benefits caused by grid disconnection. This paper first analyses the transient processes of wind turbine topologies after a voltage drop and introduces the latest LVRT testing technical specifications from major countries around the world. Subsequently, it comprehensively analyses and summarizes the advantages and disadvantages of various testing simulation devices. Finally, it provides a prospective outlook on the future development direction of LVRT testing techniques for wind turbine generators, considering both technical standards and testing equipment. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Wind Turbine Generators

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Predictive Performance of EV Charging Behaviour in COVID-19 3

Predictive Performance of EV Charging Behaviour in COVID-19

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3rd IEEE international conference on Sustainable Energy and Future Electric Transportation, SeFet 2023

作者： Gupta, Manvi Mittal, Jishnu Tomar, Anuradha Netaji Subhas University of Technology Electrical Engineering New Delhi India Netaji Subhas University of Technology Instrumentation and Control Engineering New Delhi India

ISBN: (纸本)9798350319972

Transportation is an essential prerequisite for modern life, however, the conventional combustion engine is rapidly losing its relevance. Vehicles powered by petrol and diesel emit a substantial amount of pollutants and are currently being rapidly replaced by fully electric vehicles (EVs). These EVs are emission-free and significantly more eco-friendly. The COVID-19 pandemic has had a significant impact on the global EVs market. The widespread adoption of EVs faces various challenges, including vehicle scheduling due to the limited EV charging facilities. Smart scheduling algorithms can address this issue by managing to improve EV scheduling by utilizing tools and algorithms fueled by data-driven approaches to predict EV charging demand. Previous research has utilized historical EV charging data to predict the behavior of departure time and energy needs. However, unexpected events like a pandemic can lead to changes in behavior, making predictions more challenging. This paper proposes using pre-COVID and COVID-period historical charging data to predict EV session duration using machine learning algorithms like Decision Tree Regressor, XGBoost, and Deep Neural Networks. XGBoost achieved the best predictive performance, with R2 scores of 0.99 for session duration, outperforming existing literature. The study demonstrates significant improvement in both predictions compared to previous work and conducts a comparative analysis of EV behavior during normal and unexpected circumstances. Overall as a result of the COVID-19 pandemic, the global EV market has experienced a decline in growth. With factory closures, supply chain disruptions, and reduced consumer demand, the production and sales of EVs have been negatively impacted. © 2023 IEEE.

关键词： Forecasting

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