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Analysis of Energy Efficiency Characteristics of Gravity Energy Storage System

Analysis of Energy Efficiency Characteristics of Gravity Ene...

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2024 IEEE international conference on Electrical Energy Conversion systems and control, IEECSC 2024

作者： Wang, Yuxuan Wang, Yilong Gao, Tian Dong, Linlin Zhang, Liancheng Ma, Xudong Wang, Zufan Zhao, Haisen School of Electromechanical Engineering Beijing Information Science and Technology University Beijing China School of Electrical and Electronic Engineering North China Electric Power University Beijing China School of Electronic and Control Engineering North China Institute of Aerospace Engineering Langfang China

ISBN: (纸本)9798350389357

Gravity energy storage (GES) has the advantages of high environmental adaptability, long life, high environmental protection, which have attracted the attention of more and more scholars in recent years. Efficiency is one of the key technical indicators for the large-scale promotion of energy storage. Since GES is in its infancy and the system structure is complex, the detailed and engineering practical analysis of the efficiency of GES is still in a blank stage. In response to the above problems, this paper proposes a method for establishing an efficiency simulation model. This model is based on the mechanical and electrical combination of the heavy block driving torque within the typical structure of GES. Through simulation analysis, the efficiency characteristics and the law of the loss ratio of the system are revealed: GES typical structure is rated at about 76%, of which the mechanical link loss accounts for the largest proportion of about 61 %, and the loss has a linear characteristic, while the single equipment motor loss is the largest, about 39%, and the loss of a single equipment is sorted from large to small as: motor, gearbox, chain, heavy block, drum and coupling. © 2024 IEEE.

关键词： Storage efficiency

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Decoupler control for a MIMO Process Model in an Industrial Process - A Review 2

Decoupler Control for a MIMO Process Model in an Industrial ...

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2nd international conference on Ambient Intelligence in Health Care, ICAIHC 2023

作者： Belwal, Neha Juneja, Pradeep Sunori, Sandeep Kumar Graphic Era University Department of ECE Dehradun India Graphic Era Hill University Department of ECE Bhimtal India

ISBN: (纸本)9798350344882

This paper is covering an exhaustive review on decoupler control for a Multivariable industrial process highlighting the various decoupling techniques for compensating the interaction between various loops. Existence of undesirable cross couplings makes it complex to establish a suitable multivariable controller. So, a decoupler is employed for obtaining single variable loops from multivariable loops. Various decoupling methods employed in industry have been covered in detail. In industrial process control, MIMO (Multi-Input Multi-Output) system control is a challenging task because of interconnections and cross-couplings among multiple process variables. The implementation of decoupler control techniques has gained a noteworthy attention among researchers. The study features the advantages and drawbacks of various decoupling approaches. It also assesses the challenges associated with implementation of decoupler control viz. modeling uncertainties and measurement noise. © 2023 IEEE.

关键词： MIMO systems

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4th international conference on Numerical Computations: Theory and Algorithms, NUMTA 2023

4th International Conference on Numerical Computations: Theo...

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4th international conference on Numerical Computations: Theory and Algorithms, NUMTA 2023

ISBN: (纸本)9783031812408

The proceedings contain 105 papers. The special focus in this conference is on Numerical Computations: Theory and Algorithms. The topics include: Resource Allocation via Bayesian Optimization: an Efficient Alternative to Semi-Bandit Feedback;multi-Objective and Multiple Information Source Optimization for Fair & Green Machine Learning;extended Optimal control Problem for Practical Application;explainable Process Deviance Discovery with Data-Efficient Deep Learning;line Search Stochastic Gradient Algorithm with A-priori Rule for Monitoring the control of the Variance;a Machine Learning Approach to Speed up the Solution of the Distributor’s Pallet Loading Problem;combined First- and Second-Order Directions for Deep Neural Networks Training;constrained Global Optimization by Smoothing;the Unreasonable Effectiveness of Optimal Transport Distance in the Design of Multi-Objective Evolutionary Optimization Algorithms;an Improved Modified Jaya Optimization Algorithm: Application to the Solution of Nonlinear Equation systems;GPU Acceleration of the Enhanced Jaya Optimization Algorithm for Solving Large systems of Nonlinear Equations;effective Resistance Based Community Detection in complex Networks;a Comparison of Formulations for Aircraft Deconfliction;optimal Recombination Problem in Genetic Programming for Boolean Functions;heuristics with Local Improvements for Two-Processor Scheduling Problem with Energy Constraint and Parallelization;numerical Analysis of Optimal control of Assets and Liabilities by a Bank;optimal control for Stochastic Multi-agent systems With the Use of Parallel Hybrid Genetic Algorithm;DC Optimization in Adversarial Sparse Support Vector Machine;A First-Order Optimality Condition in Nonsmooth Generalized Semi-infinite Programming (GSIP);miniaturisation of Binary Classifiers Through Sparse Neural Networks;Price Forecasting for Bitcoin: Linear Regression and SVM Approaches;inside the Box: 0–1 Linear Programming Under Interval Uncertainty;machine Learn

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Nonlinear Dynamics, Stability and control Strategies: Mathematical modeling on the Big Data Analyses of Covid-19 in Poland 1

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16th international conference on Dynamical systems - Theory and Applications (DSTA)

作者： Batyuk, Liliya Kizilova, Natalia Kharkov Natl Med Univ Kharkov Ukraine Warsaw Univ Technol Inst Aeronaut & Appl Mech Warsaw Poland Kharkov Natl Univ Kharkov Ukraine

ISBN: (数字)9783031564925

ISBN: (纸本)9783031564949;9783031564925;9783031564918

Detailed numerical data on covid-19 epidemic have been collected since February 2020, and now >200 countries and regions are presented in online databases. A brief review of the data analyses and mathematical modelling for different countries is given. The time series on four "waves" of pandemic in 16 provinces of Poland are analyzed. Statistical regularities, self- and cross-correlations, common and different features in the regions are revealed. Spectral analysis of oscillating components and phase curves demonstrated non-linear quasi-regular and chaotic dynamics. Based on the comparative analyses of the 7-day averaged curves, the non-linear SEIDQRV model with time delay was estimated as the most proper mathematical model. Material parameters of the model for each "wave" and region have been used for stability analysis and controllability of the pandemic. The reproduction number for each region/wave have been obtained as the stability criterion for the systems of equations of the SIR, SIRS, SEIR, SEIRS, SEIDQR models with and without time delay. Sensitivity of the models to different control functions (social restrictions, lockdown measures, availability/quality of medical treatment, vaccination level) revealed different sets of the most influencing parameters in different provinces and waves. The results are compared for similar data for Poland and other European countries. It is shown;the nonlinear dynamics and best control strategies differ at the level of the country and its regions that needs more complex local governmental measures against further development of the pandemic.

关键词： Covid-19 pandemic Data analyses Nonlinear dynamics Mathematical modelling Stability and control

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Tracking control of an Inverted Pendulum System: A Novel Radial Basis Function Neural Network Supervisory control Approach 1

Tracking Control of an Inverted Pendulum System: A Novel Rad...

引用

1st international conference on Circuits, Power, and Intelligent systems, CCPIS 2023

作者： Nayak, Narayan Ghosal, Binayak Nayak, Dipak Ranjan Mohapatra, Ambarish G. Sit Department of Ee Bhubaneswar India Sit Department of Eee Bhubaneswar India

ISBN: (纸本)9798350315769

The control of an Inverted Pendulum (IP) is one of the benchmark problems in control systems. It is very difficult to control due to its innate instability and extremely nonlinear properties. Here, a novel supervisory control method based on Radial Basis Function Neural Networks (RBFNN) approach aims to enhance the tracking performance of an IP system. The RBFNN is used as a dynamic compensator to improve the performance of the typical Proportional-Integral-Derivative (PID) controller. The network is trained to approximate the unknown nonlinear dynamics of the IP system. The corrective control signal is then produced by the trained network and added to the PID controller's output. An adaptive tuning algorithm is created to continuously update the RBFNN's parameters to achieve accurate tracking control. As a result, the system can instantly adapt to modifications in the dynamics of the plant. The effectiveness of the suggested approach in achieving reliable tracking control of the IP system is demonstrated by simulation results. When compared to the traditional PID and FUZZY-PID controller, the RBFNN supervisory control strategy significantly enhances the system's tracking performance with minimum overshoot and settling time. The method offers a promising framework for the control of complex nonlinear systems. © 2023 IEEE.

关键词： Three term control systems

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Robust control Performance in Uncertain Environments: A Semi-Heuristic Gradient Descent Approach 8

Robust Control Performance in Uncertain Environments: A Semi...

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8th international conference on Instrumentation, control, and Automation, ICA 2023

作者： Ahmed Hassan, Mohammed Elbadri Irham Jambak, Ahmad Bayezit, Ismail Soylemez, Mehmet Turan Istanbul Technical University Department of Control and Automation Engineering Istanbul Turkey Istanbul Technical University Department of Mechatronics Engineering Istanbul Turkey Istanbul Technical University Department of Aeronautical Engineering Istanbul Turkey

ISBN: (纸本)9798350301274

Designing a robust controller for systems with parameter uncertainties is a complex and demanding task. Traditional deterministic and probabilistic approaches may fall short in providing efficient and satisfactory solutions. To address this challenge, we propose a semi-heuristic approach that exploits the Kharitonov theorem to establish an initial point for the gradient descent algorithm. Through an iterative optimization process that incorporates user-defined performance criteria, our approach provide a robust controller with respect to presence of system uncertainties. Numerical simulations validate the effectiveness of our proposed method and highlight its superiority in addressing robust control problems compared with auto-tuned ΡΠ) controller. © 2023 IEEE.

关键词： Optimization

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4th international conference on Numerical Computations: Theory and Algorithms, NUMTA 2023

4th International Conference on Numerical Computations: Theo...

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4th international conference on Numerical Computations: Theory and Algorithms, NUMTA 2023

ISBN: (纸本)9783031812460

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Behavioral and Human-Centric Access control Model in XACML Reference Architecture: Design and Implementation of EHR Case Study 15th

Behavioral and Human-Centric Access Control Model in XACML R...

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15th Advanced Doctoral conference on Computing, Electrical and Industrial systems, DoCEIS 2024

作者： Farhadighalati, Nastaran Barata, Jose Nikghadam-Hojjati, Sanaz Marchetti, Eda NOVA School of Science and Technology UNINOVA-CTS and LASI NOVA University Lisbon Lisbon2829-516 Portugal Institute of Information Science and Technologies ISTI-CNR Pisa Italy

ISBN: (纸本)9783031638503

Privacy and security are crucial for using Electronic Patient Records (EHRs) within healthcare systems, as clinical data is sensitive. In response to this, several access control approaches have been recently developed to limit access to sensitive information. This paper presents a novel human-centric access control model, Behavioral-Based Access control (BBAC), inspired by the Internet of Behavior paradigm. The proposed model implements behavioral modeling, allowing privacy-preserving data sharing based on user behaviors in complex healthcare environments. The model enhances security and privacy in distributed healthcare systems by adjusting access permissions according to user behavior, location, and time, as evaluated in a simulated scenario. The proposed model uses the XACML policy language to implement BBAC, which determines whether to allow or deny user access requests. This approach enables personalized and secure access control by analyzing user behavioral patterns and adjusting permissions accordingly. The ability to regulate access based on individual user behavior represents a shift towards more adaptive and tailored security mechanisms and discusses its dynamic potential for future research. © IFIP international Federation for Information Processing 2024.

关键词： Behavioral research

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Models and Methods of Evaluation the Vulnerability of complex Hierarchical Network systems 11

Models and Methods of Evaluation the Vulnerability of Comple...

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11th international conference "Information control systems and Technologies", ICST 2023

作者： Polishchuk, Olexandr Yadzhak, Mykhailo Pidstryhach Institute for Applied Problems of Mechanics and Mathematics National Academy of Sciences of Ukraine Naukova str 3"b" Lviv79060 Ukraine Ivan Franko Lviv National University University str 1 Lviv79000 Ukraine

Principles of formation of system hierarchies with direct subordination are described and threats that can destabilize their state and operation process are analyzed. Strategies for the protection of complex hierarchical network systems (CHNS) against targeted attacks of various types are studied. On the basis of structural and flow models of CHNS, the elements and subsystems that require priority protection against such attacks are determined. The problem of simultaneous group lesions of the most important CHNS components of different hierarchical levels is investigated. In order to counteract the lesions spreading and overcome its consequences, the principles of forming an information and complex evaluation models of the CHNS state and operation process are proposed. It is shown how the application of these models before, during and after targeted attack helps to support a decision-making directed to restoring the system and returning it to normal life activities. © 2023 Copyright for this paper by its authors.

关键词： complex networks

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15th international conference on Advanced Mechanical and Power Engineering, CAMPE 2023

15th International Conference on Advanced Mechanical and Pow...

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15th international conference on Advanced Mechanical and Power Engineering, CAMPE 2023

ISBN: (纸本)9783031829789

The proceedings contain 31 papers. The special focus in this conference is on Advanced Mechanical and Power Engineering. The topics include: Liquid Vibrations Analysis of Baffled Reservoirs with Fuzzy Concepts Implementation;influence of Cylinder Diameter and Position on Thermal and Hydrodynamic Interaction of Shedding Vortices with the Heat Exchanger Wall;assessment of the Second-Order Phase Transition Effect on the Thermal Efficiency of a Theoretical Rankine Cycle;experimental Adjustment of a Double-Circuit Closed Loop System of Active Silencing of the Magnetic Field Generated by a Double-Circuit Power Line;magnetic Field Active Silencing in One-Storey Old Buildings Closed to Power Line;modeling of Temperature Distributions in Axisymmetric Elements of complex Metallurgical systems on the Basis of Nonlocal problems;experimental Study of the Porosity of Ni + Zn + Al2O3 Coatings Deposited by Low-Pressure Cold Spraying;system of Automatic Notification of Personnel About Damage to Power Supply Facilities;effective Management of Water Resources Cooling System Discharges at Nuclear Power Plants;modelling Safety System of Waveguides Made of Regenerated Hard Alloy;increasing the Life of Lance Tips with Extended Laval Nozzles;development of the Slag-Splashing Lance for Slag Skull Coating the Converter Lining;techno-Economic Method for the Rational Choice of Air Source Heat Pumps for Bivalent Heating systems;multi-scale Finite-Element Methodology for Predicting the Thermodeformed State of Welded Large-Size Structures;creep and Damage Processes in Cyclically Loaded Model of Turbine Rotor;structure Formation Features of White Chrome Cast Irons Inside Working Layer of Massive Mill Rolls;analysis of Shape Distortion of the Composite Reflector Antennas During Assembly.

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