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检索条件"任意字段=International Conference on Electrical Engineering Computing Science and Automatic Control"

共 15543 条记录，以下是1781-1790 订阅

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Disturbance Observer based Dynamic Surface Sliding Mode control for Manipulator Arm with Adaptive RBF Networks

Disturbance Observer based Dynamic Surface Sliding Mode Cont...

引用

2022 international Symposium on Advanced Launch Technologies, ISALT 2022

作者： Zhou, G.Z. Zou, Q. Shao, S.C. College of Mechanical Engineering Nanjing University of Science and Technology Nanjing210094 China Office of Military Representative Stationed in Taiyuan Beijing Regional Military Representative Bureau Army Armament Department Taiyuan030000 China

For the rotation position control of automatic loading manipulator arm with uncertain problems of load change and external disturbances, an adaptive radial basis function networks (RBF) dynamic surface sliding mode control (DSMC) strategy based on disturbance observer (DOB) is proposed. The value of the external disturbance, which is estimated by the DOB on line, is added to the output of the proposed controller for feedforward compensation. The dynamic performance of the controller is ensured by introducing the adaptive RBF networks while the stability of the controller is verified by designing the Lyapunov function. Comparison between the results of the proposed control strategy and those of the conventional sliding mode control (SMC) shows that the controller has better dynamic tracking characteristics, steady-state accuracy and strong robustness under load changes. © Published under licence by IOP Publishing Ltd.

关键词： controllers

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Image Recognition of Concrete Electromagnetic Flaw Detection Based on Improved YOLOv7 24

Image Recognition of Concrete Electromagnetic Flaw Detection...

引用

7th international conference on Image and Graphics Processing, ICIGP 2024

作者： Yuan, Shuai Yuan, Ze He, Kai School of Computer Science and Engineering Shenyang Jianzhu University China Liaoning Province Big Data Management and Analysis Laboratory of Urban Construction China Shenyang Branch of National Special Computer Engineering Technology Research Center China School of Electrical and Control Engineering Shenyang Jianzhu University China

ISBN: (纸本)9798400716720

Owing to the invisibility characteristics of the interiors of concrete structures, nondestructive testing technologies are commonly employed to detect internal damage. Electromagnetic flaw detection technology, as a prominent nondestructive testing method, offers capabilities of strong penetration and precise imaging. However, the output images produced by this detection technology are usually reliant on subjective human judgment, and existing automatic detection algorithms have limitations in terms of accuracy. To enhance the accuracy of electromagnetic flaw detection images, this paper proposes improved YOLOv7 based detection method. First of all, the ACBlock convolution module is introduced to replace the original 3×3 convolution kernel for alleviating the loss of edge feature information caused by the sampling operation of the backbone network MP module. Next, in order to have more focus on the semantic features of small targets, a global attention mechanism (GAMAttention) is incorporated into the algorithm. Then, the FReLU activation function is adopted to enhance the algorithm sensitivity to image space. Finally, experiments are conducted on a self-created concrete flaw detection image dataset to illustrate the efficiency of the proposed algorithm. The results show that the mean Average Precision (mAP) value achieved by the improved algorithm is 95.85%. which has a significant improvement of 13.89% in comparison with the pre-improved YOLOv7 algorithm and surpasses other algorithms in the same domain. These findings represent that the proposed algorithm effectively enhances the accuracy of concrete electromagnetic flaw detection image detection. © 2024 ACM.

关键词： Nondestructive examination

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conference Committees

Conference Committees

引用

international conference on electrical engineering, computing science and automatic control (CCE)

Lists the conference organizers, sponsors, patrons, speakers, and/or committee members.

ISBN: (数字)9781665455084

ISBN: (纸本)9781665455091

Lists the conference organizers, sponsors, patrons, speakers, and/or committee members.

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L1 Adaptive control for Unmanned Quadcopter Transportation Systems

L1 Adaptive Control for Unmanned Quadcopter Transportation S...

引用

international conference on Guidance, Navigation and control, ICGNC 2022

作者： Huang, Jingwen Yu, Hai Liang, Xiao Fang, Yongchun Han, Jianda College of Artificial Intelligence Tianjin Key Laboratory of Intelligent Robotics Institute of Robotics and Automatic Information Systems Nankai University Tianjin300350 China

ISBN: (纸本)9789811966125

Unmanned quadcopter transportation systems present extremely strong underactuated characteristics. Due to the unmodeled dynamics and unknown disturbances in practical flight, existing control schemes may lead to poor control effects or even control failure. This paper presents a robust tracking control for unmanned quadcopter transportation systems, which can achieve accurate trajectory tracking and eliminate unexpected payload swings effectively. Simulations are provided to verify the effectiveness of the control scheme against unknown uncertainties. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Robust control

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A Mini-Mega Transformer for Image Fusion and Applications 8

A Mini-Mega Transformer for Image Fusion and Applications

引用

8th international conference on Image, Vision and computing, ICIVC 2023

作者： He, Shuwen Zhang, Xiaotian Liu, Yong Zhong, Wei North Automatic Control Technology Institute Shanxi China International School of Information Science & Engineering Dalian University of Technology Dalian China School of Software Technology Dalian University of Technology Dalian China

ISBN: (纸本)9798350335231

Multi-modal image fusion aims to integrate images from multiple sensors, generating visually pleasing images that encompass more comprehensive and complementary information. Existing approaches favor the use of convolutional neural networks and employ simple sequential training strategies to achieve high-quality fusion conducive to subsequent perception tasks. However, these measures often overlook the attention mechanism of long-distance pixel information and struggle to achieve stable and efficient collaborative training. To overcome these issues, this paper proposes a fusion network based on the transformer for infrared and visible image fusion and applications. Specifically, we design a cross-scale attention mechanism from both Mini and Mega perspectives to integrate features between different modalities. Additionally, we adopt the concept of bi-level optimization and propose a training strategy that fully associates fusion with perception tasks. Extensive experiments demonstrate the superiority of the proposed network and strategy. Not only does it produce fusion images with good visual effects, but it also improves the performance on perception tasks compared to state-of-the-art methods. © 2023 IEEE.

关键词： Image fusion

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Distributed Predictive Policies for Local Residential Energy Communities 15th

Distributed Predictive Policies for Local Residential Energy...

引用

15th APCA international conference on automatic control and Soft computing (controlO)

作者： Silva, Joaquim Palma Igreja, Jose Manuel Lemos, Joao M. INESC ID UNL IST Lisbon Portugal INESC ID IPL ISEL Lisbon Portugal

ISBN: (纸本)9783031100475;9783031100468

The main goal of this work is to design Battery Storage Management solutions for Smart Grids with multiple interconnected microgrids, or local power generation units, using a distributed model predictive control approach. In order to know how much energy should be stored, sold or bought, a model predictive control policy computes the minimum of a cost function that minimizes the net revenue. The solution also encourages some level of storage. The alternating direction method of multipliers computes the proposed distributed model predictive control solution, considering that each system is directly interconnected with its neighbors. The distributed predictive control algorithm is described and tested in simulations.

关键词： Smart grid Model based predictive control Alternating directions method of multipliers Distributed control Energy

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Implementation of ANFIS in an automatic Generation controller of the Pico-Hydro Power System for Off-grid Rural Areas

Implementation of ANFIS in an Automatic Generation Controlle...

引用

2022 IEEE international conference on Distributed computing and electrical Circuits and Electronics, ICDCECE 2022

作者： Madrigal, Gillfred Allen M. Capulong, Timothy John F. Lising, John Arvin B. Loyola, Bryce Hart C. Ramirez, Adonis L. Simpliciano, Julia E. Tolentino, Lean Karlo S. Hollman, Gilbert B. Galido, Edgar A. Fernandez, Edmon O. Thio-Ac, August C. Fortaleza, Benedicto N. Technological University of the Philippines Department of Electronics Engineering Manila Philippines Technological University of the Philippines Center for Engineering Design Fabrication and Innovation College of Engineering Manila Philippines University Extension Services Office Technological University of the Philippines Manila Philippines Technological University of the Philippines Department of Electrical Engineering Manila Philippines Technological University of the Philippines Department of Mechanical Engineering Manila Philippines

ISBN: (纸本)9781665483162

Renewable energy sources play a vital role in the technologization of our modern world especially those who are in rural areas. However, the power system's output voltage and frequency vary from time to time due to the continuous change in load, especially in pico-hydro. This study presents the automatic Generation controller (AGC) which will maintain the voltage and frequency output of the generator in the standard range stated in the Philippine Grid Code. Several sensors were used to measure the variations of the said parameters which are fed to the Arduino Uno that controls the water flow in the turbine through a chain system. The water flow determines the output frequency and voltage of the generator. ANFIS was implemented in the proposed AGC because it has the most reliable, fastest, and most efficient response among the four control algorithms for the automation of controlling the frequency and voltage output of the system in standard range of pico-hydro power systems. The AGC stabilizes the voltage and frequency output of the power system with an average time of 48.425 seconds. This study will provide great help in the renewable energy source industry making their products more reliable to be used in rural areas. © 2022 IEEE.

关键词： Rural areas

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Comparative Analysis of Different control Strategies for Enhancing the Performance of automatic Voltage Regulator

Comparative Analysis of Different Control Strategies for Enh...

引用

international conference on electrical, Computer and Communication engineering (ECCE)

作者： Md Rezaul Karim Shoaib Rufsun Rakibul Hasan Hasan Monir Sunjida Sultana Department of Electrical Electronic and Communication Engineering Military Institute of Science and Technology Dhaka Bangladesh

ISBN: (数字)9798350357509

ISBN: (纸本)9798350357516

In modern power systems, optimized automatic Voltage Regulators (AVRs) in synchronous machines has a crucial role to maintain voltage stability, to increase efficiency and to assure reliability. In optimizing the dynamic load changes and system parameters, previous studies have largely limited themselves to conventional methods. In this study, classical Proportional Integral Derivative (PID), fuzzy PID control and Genetic Algorithm (GA) techniques are integrated into an AVR model to analyze their output responses in the system. A detailed comparison of these methods basing on trial and error is illustrated where the findings show that the GA outperforms traditional methods by achieving improved control matrix and optimal performance.

关键词： PI control Regulators Power system dynamics Power system stability Stability analysis PD control Synchronous machines Optimization Tuning Genetic algorithms

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Robust Target Detection and Localization for UAV Autonomous Landing with Partially Occluded Targets 15th

Robust Target Detection and Localization for UAV Autonomous ...

引用

15th international conference on Genetic and Evolutionary computing, ICGEC 2023

作者： Shao, Mingmei Liu, Yanyan Tang, Jiaze Liu, Huanyu Li, Junbao Faculty of Computing Harbin Institute of Technology Harbin150080 China National Key Laboratory of Electromagnetic Space Security Tianjin300308 China Electrical Measurement Technology and Intelligent Control Institute School of Instrumentation Science and Engineering Harbin Institute of Technology Harbin150080 China

ISBN: (纸本)9789819700677

This paper presents an approach for robust target detection and localization in the context of UAV autonomous landing with partially occluded targets. Since the performance of the autonomous landing system largely depends on the accurate detection and positioning of the landing target, it is very important to deal with the local occlusion caused by obstacles or environmental factors. In order to improve the overall performance of the system, we propose a fault-tolerant target detection method and target completion strategy. The proposed target detection method combines image processing technology with feature extraction algorithm, which can recognize and locate the landing target even in the case of occlusion. The target completion strategy aims to recover the missing part of the occluded target and make the detection and location algorithm execute more reliably. We perform experiments on image data sets with different horizontal object occlusion to evaluate the performance of the proposed method. The results show that our method successfully detects and locates the landing target under different occlusion levels, and significantly improves the performance of UAV autonomous landing system in the real scene. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Unmanned aerial vehicles (UAV)

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Design of intelligent car with self-tracing based on STC89C52 MCU 6

Design of intelligent car with self-tracing based on STC89C5...

引用

6th international conference on Intelligent computing, Communication, and Devices, ICCD 2023

作者： Chang, Zhoulin Minping, Ruan Zuming, Chen College of Electrical and Mechanical Engineering Guangdong University of Science and Technology Dongguan China

ISBN: (数字)9781510666269

ISBN: (纸本)9781510666252

In view of the tracking requirements of the intelligent car in the driving process, the control circuit with the STC89C52 MCU as the core is designed. The modular design scheme is adopted, and the color code sensor, metal detection sensor, ultrasonic sensor and Hall sensor are used to form different detection circuits to detect the car's track, detect embedded metal chips, avoid obstacles, measure speed and other problems, The circuit is analyzed theoretically and tested practically. The results show that the intelligent car has good identification and detection capabilities, and has the characteristics of positioning accuracy, stable and reliable operation. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Microcontrollers

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