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检索条件"任意字段=3rd International Conference on Optimization and Control with Applications"

共 13011 条记录，以下是51-60 订阅

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Non-linear Dynamic System Identification on Application of Industrial control 3

Non-linear Dynamic System Identification on Application of I...

引用

3rd IEEE international conference on Industrial Electronics: Developments and applications, ICIDeA 2025

作者： Pattanaik, Rakesh Kumar Misra, Debashis Dev Mohanty, Mihir Narayan DNR college of engineering & technology AP Bhimavaram India Assam down town University Assam Khankar Gaon India Siksha O' Anusandhan Deemed to be University Odisha Bhubaneswar India

ISBN: (纸本)9798331533205

System identification is a vital aspect of modern control and automation, offering a pathway to develop mathematical models from observed input-output data of dynamic systems. This paper explores methodologies, applications, and advancements in system identification. applications such as digital twin integration, industrial automation, and transportation systems highlight the practical relevance of these methodologies. A focus is given to integrating advanced machine learning techniques with traditional modelling approaches to enhance accuracy and scalability for nonlinear dynamic systems. Deep Random Vector Functional Neural Network is used for experimentation. Practical applications, including digital twin integration for real-time monitoring and control, are discussed to underline the relevance of system identification in Industry 4.0. © 2025 IEEE.

关键词： Parameter estimation

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Computational Analysis and Performance optimization of Square Membrane Piezoresistive MEMS Pressure Sensor 3

Computational Analysis and Performance Optimization of Squar...

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3rd IEEE international conference on Power Electronics, Intelligent control and Energy Systems, ICPEICES 2024

作者： Suresh, M. Singh, Sadanand Rakshit, Nibedita Santhosh, Anirudh Varun Ram, S. Singh, Rishita Vit Bhopal University Seee Bhopal India

ISBN: (纸本)9798350387193

This paper presents the design and simulation of MEMS based piezoresistive pressure sensor for a pressure range of 0.2-1.4 MPa. The study focuses on two distinct models, sharing identical surface areas, device dimension and material properties, with variation's in piezoresistor positioning, for understanding the significance of positioning of sensing element on the diaphragm. The design and the analyzed pressure sensor parameters such as Von-mises stress, deflection, sensitivity and voltage outputs are obtained by using Intellisuite software. Simulation results depicts a remarkable voltage output of 35.25791 mV for the model featuring piezo resistors at corners, in contrast to 4.81223 mV for the model with piezo resistors at edges with 2V input bias at 0.2 MPa. Simulation result thus reveals that positioning of piezoresistor at corners have higher sensitivity in comparison to edges. The observed deflection changes reliably signify applied pressure. The results obtained contribute valuable insights to the optimization of sensor sensitivity, holding potential for significant advancements across diverse applications. © 2024 IEEE.

关键词： Deflection (structures)

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Research and Application of AVC System control Parameter Setting Method Considering Mutual Interference of control Equipment Actions 3

Research and Application of AVC System Control Parameter Set...

引用

3rd international conference on Energy and Electrical Power Systems (ICEEPS)

作者： Ma, Yongfei Wang, Xuebin State Grid Qinghai Elect Power Res Inst Xining Qinghai Peoples R China

ISBN: (纸本)9798350375145;9798350375138

This paper proposes a control parameter setting method for AVC systems that considers the mutual interference of device actions. This method first divides the setting periods of each set of VQC control parameters based on the results of reactive power optimization, and determines the adjustment amount of equipment during each action setting period. Then, combined with the fifteen zone diagram control strategy, considering the possible monitored states and certain margin values of the system caused by different action sequences of other devices before equipment action, the AVC system control parameters considering mutual interference of equipment actions and load curve errors are set to ensure that the control equipment can act according to the strategy obtained from dynamic reactive power optimization. This method has been applied in the 35kV Qieji substation, which has effectively improved voltage quality and reduced the number of transformer tap actions. It has good practical value and application effects.

关键词： AVC parameters setting interfere

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A photovoltaic maximum power point tracking method based on fuzzy improved gravity search algorithm 3

A photovoltaic maximum power point tracking method based on ...

引用

3rd international conference on Energy and Electrical Power Systems (ICEEPS)

作者： Xing, Zheng Chang, Xiaoheng Bohai Univ Coll Control Sci & Engn Jinzhou Peoples R China

ISBN: (纸本)9798350375145;9798350375138

According to the advantages and disadvantages of the existing maximum power point tracking methods, this paper proposes a new maximum power point tracking method by applying the fuzzy control to the gravitational search algorithm, firstly, improve the optimization speed by taking advantage of the fast convergence speed of the gravitational search algorithm, and secondly, set the index of population maturity, and then set the dynamic adjustment strategy for the flight speed of the particles in the solution space by introducing the fuzzy rule after the population reaches a certain maturity level. After the population reaches a certain maturity, by introducing fuzzy rules, the dynamic adjustment strategy of particle flight speed in the solution space is set up. Finally, a simulation model is established by MATLAB/simulink, and simulation analysis is carried out under different lighting environments, and compared with the traditional gravitational search algorithm, which proves the advantages of the improved algorithm in terms of the searching accuracy and speed, as well as a better effect in solving the problem of local optimization.

关键词： maximum power point tracking fuzzy control gravitational search algorithm local optimization

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Ontology-Based optimization Method for Multi-Source Heterogeneous Data Organization in Large Power Grid Planning and Operation Platforms 3

Ontology-Based Optimization Method for Multi-Source Heteroge...

引用

3rd international conference on Energy and Electrical Power Systems (ICEEPS)

作者： Tang, Yingqi Zhao, Ligang Su, Yinsheng Zhou, Baorong Xu, Yuan Huang, Guanbiao Hu, Jiaming Li, Kaihang CSG Elect Power Res Inst State Key Lab HVDC Technol Guangzhou Peoples R China CSG Power Dispatching & Control Ctr Guangzhou Peoples R China South China Univ Technol Sch Elect Power Engn Guangzhou Peoples R China

ISBN: (纸本)9798350375145;9798350375138

The construction of a large power grid planning and operation platform requires the integration and organization of multi-source heterogeneous data. However, the various types of power grid business have differing levels of importance and high demands for timely response, which current data organization methods struggle to meet. This paper proposes an ontology-based optimization method for multi-source heterogeneous data organization in large power grid planning and operation platforms. A mathematical optimization model is constructed, taking into account both business retrieval efficiency and data redundancy. Additionally, the genetic algorithm is improved based on the specific characteristics of this optimization problem. The method proposed in this paper is then applied to integrate data from multiple power software applications. Experimental results show that this method effectively balances data retrieval efficiency and storage space utilization, achieving automated organization optimization of multi-source heterogeneous data for power grid planning and operation.

关键词： multi-source heterogeneous data organization power grid planning and operation optimization ontology improve genetic algorithm

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Core control Strategy and Application of Automatic Generation control in a Large Hydropower Station 3

Core Control Strategy and Application of Automatic Generatio...

引用

3rd international conference on Energy and Electrical Power Systems (ICEEPS)

作者： Xiong, Guoen Zheng, Defang Li, Xiaohua Wang, Dongwu Yalong River Hydropower Dev Co Ltd Dept Ertan Hydropower Plant Panzhihua City Sichuan Peoples R China

ISBN: (纸本)9798350375145;9798350375138

This article comprehensively explores the core control strategy and application of Automatic Generation control (AGC) in a large hydropower station, emphasizing the evolution of its monitoring system. It evaluates the synchronized commissioning between the power station and dispatching, providing a detailed analysis of the AGC core control strategy. The analysis covers the structure, control modes, prioritization, automatic start-stop algorithms, and open-loop/closed-loop control mechanisms. Additionally, it discusses the strategy's ongoing adjustment and optimization over years of operation to enhance AGC regulation performance and grid-connected quality, offering valuable insights for peers.

关键词： active power hydroelectric AGC vibration zone control strategy

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optimization Strategy for Wind-Solar Complementary Energy Storage Capacity Leveraging Photovoltaic Virtual Energy Storage 3

Optimization Strategy for Wind-Solar Complementary Energy St...

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3rd conference on Fully Actuated System Theory and applications (FASTA)

作者： Ni, Jiahua Chen, Yuwei Wang, Tong Jin, Wei Powerchina Huadong Engn Corp Limied Hangzhou 311122 Peoples R China Hangzhou City Univ Sch Informat & Elect Engn Hangzhou 311122 Peoples R China

ISBN: (纸本)9798350373707;9798350373691

In this study, we present an integrated optimization model for configuring energy storage capacities in wind-solar energy systems, utilizing an innovative approach of Photovoltaic (PV) Virtual Energy Storage (PV-VES). This model aims to mitigate the high costs associated with conventional electrochemical storage solutions by integrating cost-effective PV components. The proposed optimization framework constructs a cost-minimization objective function, considering the operational characteristics and constraints of wind turbines, PV arrays, and energy storage units. By calculating the optimal installation capacities for both electrochemical and virtual energy storage, the model provides selective cost advantages in investment for renewable energy storage infrastructures. The results demonstrate that PV-VES can enhance the economic feasibility of wind-solar complementary storage systems.

关键词： capacity optimization electrochemical storage PV virtual energy storage

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Investigating the Effectiveness of optimization with Modified Stability Boundary Locus Fitting for Approximation of α-order Fractional Filters 3

Investigating the Effectiveness of Optimization with Modifie...

引用

3rd IEEE international conference on control, Instrumentation, Energy and Communication, CIEC 2024

作者： Mahata, Shibendu De Maity, Ritu Rani Dr. B. C. Roy Engineering College Dept. of Electrical Engineering Durgapur India

ISBN: (纸本)9798350313703

This paper presents a new approach for the rational approximation of fractional-order lowpass and highpass filters of order α, where α ∈(0, 1). The proposed approach considers the modified stability boundary locus (M-SBL) based filter approximants as an initial point for a classical optimizer to determine the model coefficients. The performance of the M-SBL fitting for the fractional-order filter approximation is compared with the proposed method to justify the effectiveness of the suggested scheme regarding both the magnitude and phase characteristics. The distinct advantage of the proposed approach is to avoid the incorporation of stability and minimum-phase constraints, thus reducing the computational burden. Comparisons with the published literature demonstrate the overall improved frequency-domain fitting performance for the proposed approximants. © 2024 IEEE.

关键词： Stability

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Improved beluga self-resistant welding depth of fusion control based on Smith predictor 3

Improved beluga self-resistant welding depth of fusion contr...

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3rd international conference on Robotics, Artificial Intelligence and Intelligent control (RAIIC)

作者： Zhou, Keliang Gong, Guangcheng Yang, Xiu Jiangxi Univ Sci & Technol Dept Control Engn Ganzhou Jiangxi Peoples R China

ISBN: (纸本)9798350352634;9798350352627

Aiming at the many parameters of the self-immunity controller, the strong hysteresis and large inertia of the laser welding system, a transfer function model is established according to the control system characteristics of the welding system, and the instability elements of the model are analyzed. A self-immobilizing controller based on Smith predictor is designed, combined with the improved beluga algorithm. Experimental simulation of the model is carried out by modeling the effect of disturbances on the system using unit step response curves. The results show that the tracking speed is fast and stable tracking within 2.2s, with better disturbance suppression ability and higher control accuracy when using the optimized self-anti-jamming controller based on Smith's improved Moby Dick optimization for controlling the welding melt depth system.

关键词： ADRC Smith predictor improved Moby Dick algorithm Welding Depth control

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A Hybrid Model for Parameter Tuning using SSO and CNN 3

A Hybrid Model for Parameter Tuning using SSO and CNN

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3rd international conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Patidar, Anil Bandhu, Kailash Chandra Department of Computer Applications Medi-Caps University Indore India Department of Computer Science and Engineering Medi-Caps University Indore India

ISBN: (纸本)9798331527549

Social Spider optimization (SSO) and Particle Swarm optimization (PSO) algorithms applied to Intrusion Detection Systems (IDS) across small and large datasets. The study aims to evaluate and compare both PSO and SSO and find best optimal parameters in order to improve the accuracy of IDS. Additionally, the SSO algorithm find the best hyperparameter settings which are kernel, filter, padding, learning rate, and stride to achieve optimal results that directly impact IDS security. The evaluation of algorithms in terms of accuracy, precision, recall, F1 score, and AUC score. Results indicate that, on small datasets, PSO comes under overfitting but not SSO. Even on larger datasets, SSO crosses PSO significantly in terms of accuracy. This finding shows the importance of improvement in scalability, efficiency, and robustness of IDS with help of Social Spider optimization (SSO). © 2025 IEEE.

关键词： Particle swarm optimization (PSO)

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