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检索条件"任意字段=2023 6th International Conference on Advanced Algorithms and Control Engineering, ICAACE 2023"

共 292 条记录，以下是71-80 订阅

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Lightweight and Heterogeneous Conversion of Power Transmission Model Based on CATIA V6 6

Lightweight and Heterogeneous Conversion of Power Transmissi...

引用

6th IEEE international conference on Automation, Electronics and Electrical engineering, AUTEEE 2023

作者： Lin, Shan Zheng, Zhou Yang, Yan Jian, Qian Huang, Jianye Wu, Linting Fujian Power Co. Ltd. Electric Power Research Institute Fuzhou Fujian350007 China

ISBN: (纸本)9798350305623

CATIA V6 (Computer-Aided three-Dimensional Interactive Application), as an advanced computer-aided design software, can help engineers quickly realize the design and optimization of power transmission models. this article aims to conduct research on lightweight and heterogeneous conversion of power transmission models based on CATIA V6. this article constructed a control group and two experimental groups, and conducted 10 tests each. the control group used the original CATIA V6 power transmission model as a comparison group. the experimental group 1 lightweighted the model to simplify the structural elements and ensure that accuracy requirements were met. the experimental group 2 used heterogeneous transformation to replace some structural elements with an adaptation framework or chip that adapts to a specific environment. then, the article determined the input parameters and keeps them consistent to ensure the accuracy of the comparison. the results showed that experimental group 1 and experimental group 2 had positive impact on model accuracy, computational efficiency and performance evaluation compared with the control group. this shows that lightweight and heterogeneous conversion have a positive impact on the model, providing useful suggestions and guidance for improving the CATIA V6 power transmission model. © 2023 IEEE.

关键词： CATIA V6 Heterogeneous Conversion Light Weight Network Topology Optimization Transmission Model

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Progress of Operation control System for EAST Neutral Beam Injector 6

Progress of Operation Control System for EAST Neutral Beam I...

引用

6th IEEE international conference on Automation, Electronics and Electrical engineering, AUTEEE 2023

作者： Wang, Renzhong Xie, Yahong Zhao, Yuanzhe Institute of Plasma Physics Hefei Institutes of Physical Science Chinese Academy of Sciences University of Science and Technology of China Hefei China Institute of Plasma Physics Hefei Institutes of Physical Science Chinese Academy of Science Hefei China

ISBN: (纸本)9798350305623

the Experimental advanced Superconducting Tokamak (EAST) was constructed to explore the potential for steady-state nuclear fusion operation under long-pulse, high-performance conditions. Neutral Beam Injection (NBI) has been implemented to assist in heating the magnetically confined plasma during fusion reactions. the NBI control System (NBICS) is a distributed control system used for controlling the operation of NBI experiments. As more and more achievements are made, experiments based on EAST continue to evolve towards higher goals, which also impose stricter control requirements on NBI. To further ensure the efficiency of NBI control and injection, a new Operation control System (OCS) has been developed. the new system incorporates the latest features of Experimental Physics and Industrial control System (EPICS), significantly enhancing the robustness and safety of the experimental operation process compared to the past. It possesses strong scalability, fully meeting the requirements of EAST experiments. OCS consists of several components. It integrates technologies such as the PV Access (PVA) protocol and the Phoebus framework in EPICS, achieving functionalities like parameter processing, experimental flow control, exception monitoring, and cooperative control. In this paper, the architectural design and development of the OCS are introduced. © 2023 IEEE.

关键词： EAST EPICS NBI Phoebus

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Delay and Energy Consumption Optimization Method for Dependent Task Unloading 6

Delay and Energy Consumption Optimization Method for Depende...

引用

6th international conference on Computer Network, Electronic and Automation, ICCNEA 2023

作者： Chou, Xingxing Wang, Wei Ren, Wei Shaanxi University of Science and Technology School of Electrical and Control Engineering Xi'an710021 China

ISBN: (纸本)9798350305388

By deploying sufficient resources at the edge, applications with low latency and high energy consumption can be offloaded to the edge server for execution, reducing the total application execution cost. the existing unload models usually assume that several tasks of the application are independent of each other, and they often have dependencies in the real world. In view of the contradiction between the above research and reality, firstly, considering the limited edge server resources and battery capacity, this paper establishes a joint optimization model of delay and energy consumption (total cost) for dependent task unloading. Secondly, to solve this model problem, a Modified Sparrow Search Algorithm (MSSA) is proposed. To solve the problems of premature convergence, easy to fall into local optimal and poor global search ability in SSA, reverse learning, neighborhood search and Wolf pack algorithm are introduced to improve the algorithm. Finally, simulation results show that compared with other algorithms, the total application execution cost of the proposed algorithm is reduced by 7%~18%. © 2023 IEEE.

关键词： Energy utilization

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Deep Learning Framework for Early Detection of Diseases in Coconut Tree from Leaf Images 6

Deep Learning Framework for Early Detection of Diseases in C...

引用

6th IEEE international conference on Advances in Science and Technology, ICAST 2023

作者： Toradmalle, Dhanashree Bhanushali, Nidhi Dama, Meet Dhote, Manasi KJSIT Department of Computer Engineering Maharashtra Mumbai India

ISBN: (纸本)9798350359817

Coconut tree is one of the most beneficial and popular crops in the world due to its numerous uses. In countries like India, Indonesia, Philippines, Sri Lanka, etc., people primarily depend on coconut farming for their livelihood. Pest infestation or disease can largely affect the production of crops and lead to losses. Finding the disease at its earliest stage of development is necessary for disease control in plants. Image processing technologies, computer vision and deep learning models are now-a-days used to detect disease in crops. Many researchers have developed effective methods using deep learning models for disease detection, Convolutional Neural Networks (CNNs) and various architectures of CNNs are used for Disease Detection in plants. this study aims to review various research methodologies and apply them to a new dataset that includes images of leaves classified primarily into 5 diseases: yellowing, drying, flaccidity, caterpillars, and leaflets. CNN, DenseNet121, InceptionResNetV2, and ANN were major algorithms used in ***2 CNN, and DenseNet121 all performed remarkably well and provided the desired accuracy of around 99% and higher. © 2023 IEEE.

关键词： Disease control

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A Coordinatively Optimized Active Power control Strategy for Wind Farms Using Neural Network algorithms 6

A Coordinatively Optimized Active Power Control Strategy for...

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6th international conference on Information Technologies and Electrical engineering, ICITEE 2023

作者： Zhang, Kun Sheng, Jie Huang, Hui State Grid Human Electric Power Company Limited Research Institute Changsha410007 China China Southern Power Grid Technology Co. Ltd Guangzhou510080 China

ISBN: (纸本)9798400708299

the active power control system forthe wind farm is the foundation for guaranteeing the safety and stabilization during power grid operation. In this study, a coordinatively optimized active powercontrol strategy for wind farms is designedby means of neural network algorithms. With this strategy, the accuracy of AGC control for active power at grid connection points in wind farms can be effectively improved, and the relationship between AGC control and active power change control can be coordinated. In such a case, the rapid response performance of AGC control can be assured while timely meeting the requirements for active power changes. this designed control strategy has been experimentally applied in a wind farm in Shaoyang, Hunan Province, and the on-site test results have verified the correctness and effectiveness of the strategy. © 2023 ACM.

关键词： Electric utilities

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Analysis of Current-Mode Logic D-Type Flip-Flop 1:2 Frequency Dividers 6

Analysis of Current-Mode Logic D-Type Flip-Flop 1:2 Frequenc...

引用

6th IEEE international conference on advanced Systems and Emergent Technologies, IC_ASET 2023

作者： Jaoued, Yahya Ben Fekih-Ahmed, Lazhar Bouani, Faouzi Analysis Design & Control Sys. Lab. University of Tunis El Manar National Engineering School of Tunis Tunis Tunisia Signals Sys. and Stat. Lab.

ISBN: (纸本)9798350321029

We analyze the nonlinear dynamics of current-mode logic D-type flip-flop 1:2 frequency dividers using a periodically forced second-order nonlinear differential equation. From the analysis, we derive the key design parameters of the divider including precise formulas for the locking interval, the self-oscillating frequency, and the amplitude of self-oscillations. In addition, phase noise, which is one important aspect of modern broadband standards, has been accurately quantified. the formulas are validated by simulations using SPICE and Matlab®. © 2023 IEEE.

关键词： Differential equations

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Fuzzy-Based Model Predictive control for Bidirectional Charging of EV: An Adaptive Weighting Factor Algorithm 6

Fuzzy-Based Model Predictive Control for Bidirectional Charg...

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6th international Future Energy Electronics conference, IFEEC 2023

作者： He, Tingting Wu, Mingli Lu, Dylan Dah-Chuan Wang, Shuo Zhu, Jianguo School of Electrical Engineering Beijing Jiaotong University Beijing China School of Electrical and Data Engineering University of Technology Sydney Sydney Australia School of Mechanical Engineering Beijing Institute of Technology Beijing China School of Electrical and Information Engineering The University of Sydney Sydney Australia

ISBN: (纸本)9798350339888

Model predictive control strategy is an advanced control algorithm for bidirectional active and reactive power flow in electric vehicles. However, tuning the weighting factor is a time-consuming process and its value is constant for various working conditions. To solve this problem, fuzzy control is applied to generate an adaptive weighting factor to meet all unexpected requirements. A two-stage bidirectional charger is built in Matlab/Simulink with the proposed fuzzy model predictive control. Simulation results show that dynamic performance can be achieved in the proposed method. the total harmonic distortion of the grid current is limited to 5%. the weighting factor can be adjusted online according to different demands. No tuning procedure of the weighting factor is required. © 2023 IEEE.

关键词： Model predictive control

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theory and Practice for Trajectory Tracking of Quadrotor UAV Via a Fifth Generation Sliding Mode Approach 6

Theory and Practice for Trajectory Tracking of Quadrotor UAV...

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6th international conference on Networking and advanced Systems, ICNAS 2023

作者： Mechali, Omar Messaoui, Ali Zakaria Senouci, Abdelkader Messaoui, Aimen Abdelhak Mechali, Abdesselam Petru, Jana Ecole Superieure Ali Chabati Reghaia Algeria School of Aeronautics and Astronautics University of Electronic Science and Technology of China Chengdu611731 China Ecole Militaire Poly Technique Laboratoire de Commande des Systèmes Complexes et Simulateurs Bordj El-Bahri Algeria University of Hull Faculty of Science and Engineering Department of Computer Science and Technology HU6 7RX United Kingdom VSB-Technical University of Os Trava Faculty of Mechanical Engineering Department of Machining Assembly and Engineering Metrology Ostrava70800 Czech Republic

ISBN: (纸本)9798350319170

this paper presents an effective approach for a quadrotor during trajectory tracking seeking fixed-Time stabilization and disturbance rejection. the quadrotor is modeled by Ordinary Differential Equations (ODE) while considering lumped disturbances. theoretical control design and practical implementation are addressed in the paper. Motivated by the variable structure systems in the form of Sliding Mode control (SMC) theory and homogeneous systems theory, a homogeneous-SMC-based flight control is proposed to achieve robust trajectory tracking along fixed-Time stability. First, a Homogeneous Nonlinear Chattering-Free Terminal Sliding Manifold (HNCFTSM) is synthesized. Second, a Fifth Generation-based Fixed-Time SMC (FGFTSMC) is derived based on the designed HNCFTSM and an appropriate reaching law. Moreover, to suppress the disturbances polluting the system's dynamics, the control scheme is designed within an ADRC approach. the control design and the stability analysis show that the tracking errors are guaranteed to be fixed-Time stable at the equilibrium point without being affected by the deviation of the Initial Conditions (ICs) from the origin. Outdoor flight experiments and comparative analysis are drawn to corroborate the findings of this note. the depicted outcomes approve the effectiveness of the suggested controller in the form of chattering alleviation, disturbance rejection, and uniform fast fixed-Time convergence. © 2023 IEEE.

关键词： Sliding mode control

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Adaptive Field-Oriented control of Permanent Magnet Synchronous Motor Using Feedfoward Actions 6

Adaptive Field-Oriented Control of Permanent Magnet Synchron...

引用

6th IEEE international conference on advanced Systems and Emergent Technologies, IC_ASET 2023

作者： Peter, Naithan Maniam, Nitendran Mudaliar, Hiye Cirrincione, Maurizio Prasad, Ravneel Chand, Shyamal Fagiolini, Adriano School of Information Technology Engineering and Physics University of the South Pacific Suva Fiji University of Palermo Mobile & Intelligent Robots @ Panormous Laboratory Palermo Italy

ISBN: (纸本)9798350321029

this paper proposes a method for estimating the mechanical parameters of a Permanent Magnet Synchronous Motor (PMSM) using the Forgetting Factor Recursive Least Squares (RLS) algorithm. the estimated parameters are used to perform adaptive feedforward control actions, as the mechanical parameters of a PMSM tend to change with varying loads and speed. the simulation of the proposed technique is carried out using MATLAB/Simulink® under different conditions. the results demonstrate the accuracy of the technique in estimating the mechanical parameters and enhancing the performance of the drive. the proposed technique offers a promising solution to control PMSMs under dynamic conditions and can be useful in various industrial applications. the methodology, simulation setup, and results are presented in this paper. © 2023 IEEE.

关键词： Least squares approximations

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Fuzzy T-S Model Based Fault Tolerant control Using Immeasurable Decision Variables 6

Fuzzy T-S Model Based Fault Tolerant Control Using Immeasura...

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6th IEEE international conference on advanced Systems and Emergent Technologies, IC_ASET 2023

作者： Hichri, Hassen Ayadi, Mounir University of Tunis El Manar National Engineering School of Tunis LR-Automatique-ENIT Tunis Tunisia

ISBN: (纸本)9798350321029

Developing a fault-tolerant control strategy is the goal of this work so as to reduce the gap between the dynamics of faulty system and reference model. the considered nonlinear systems (NLS) are represented by fuzzy T-S models using immeasurable decision variables in the presence of faults affecting simultaneously the actuator and the output. First, a Proportional Integral (PI) multiobserver is designed to estimate the faults and the faulty system states. then, a Fault Tolerant Tracking control (FTTC) is proposed to compensate the impacts of faults and ensure the trajectory dynamics tracking of the reference model regardless of the existence of faults. the performance index using the L2 norm approach is taken into consideration so as to ensure the minimization of the disturbance impacts not only on the tracking error but also on the estimation error of the faulty system states. Finally, an academic example is conveyed to prove the validity, efficiency and advantages of the suggested FTTC approach. © 2023 IEEE.

关键词： Decision making

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