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检索条件"任意字段=International Conference on Process Automation, Control and Computing"

共 28200 条记录，以下是4911-4920 订阅

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A Maneuver control Method for Stealthy Engagement in Beyond-visual-range Air Combat Based on Sliding Mode control

A Maneuver Control Method for Stealthy Engagement in Beyond-...

引用

international conference on control, automation and Systems ( ICCAS)

作者： Yue Liu Zhen Yang Jichuan Huang Guang Zhan Xiaoyang Li Deyun Zhou School of Electronics and Information Northwestern Polytechnical University Xi’an China School of Automation Science and Electrical Engineering Beihang University Beijing China The 93147th Unit of Chinese PLA Air Force Chengdu China

A S-type engagement of beyond-visual-range (BVR) air combat tactical method based on sliding mode control is proposed, which is aiming at the problem of Doppler pulse (PD) radar blind zone. By introducing the Electronic Support Measures (ESM), the whole tactical process is divided into two sub-processes: quick engagement and stealthy engagement. This paper designs a stealthy engagement process controller based on the double power sliding mode control, and a quick engagement process controller based on the back-stepping second order sliding mode. The simulation experiment shows that our aircraft can use EMS to judge the enemy radar detection information and switch the strategy. And it can successfully enter the enemy radar blind zone through S-type maneuver, occupy the dominant area, which can effectively complete the stealthy engagement.

关键词： Simulation process control Radar detection Switches Doppler radar Doppler effect Aircraft

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Fuzzy Logic control and Battery Energy Storage System Based Power System Secondary Frequency Regulation

Fuzzy Logic Control and Battery Energy Storage System Based ...

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international conference on Green Energy and Applications (ICGEA)

作者： Xiao Long Dongdong Chena School of Electronic and Electric Enaineering Minnan University of Science and Technology Quanzhou China State Key Laboratory of Synthetical-Automation for Process Industries Northeast University Shenyang China

The battery energy storage system (BESS) can quickly supplement the power demand of the power load and absorb the peak power generated by new energy. Therefore, the installed capacity of the BESS in the power system continues to increase, and it has been more and more widely used in the frequency modulation control of the power system. A fuzzy logic based control method for BESS to participate in power system frequency regulation control is proposed. The area control error (ACE) signal and the state of charge (SOC) of the energy storage battery are used as control inputs, thus the frequency regulation demand determined by ACE signal and the SOC limit of the energy storage battery are integrated to realize both health management of the energy storage battery and the frequency regulation control of the power grid.

关键词： Fuzzy logic Time-frequency analysis Power demand control systems Power grids Power systems Batteries

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Garbage classification based on fine-tuned state-of-the-art models

Garbage classification based on fine-tuned state-of-the-art ...

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international conference on control, Decision and Information Technologies (CoDIT)

作者： Ramil Shukurov Process Automation Engineering Department Baku Higher Oil School Baku Azerbaijan

The world faces one of the crucial issues - waste management, which needs to be tackled urgently to minimize environmental pollution. The main challenge is to classify the massive amount of waste reliably and accurately. Many existing deep learning models employed to achieve accurate results still require to be improved as their performance varies on a different dataset. This research proposes an algorithm based on fine-tuned convolutional neural networks (GoogleNet, ResNet, DenseNet, ResNeXt, EfficientNet) using two distinct optimization algorithms (SGD momentum, Adam) to classify an open-source dataset into twelve classes. Experimental results reveal that the fine-tuned ResNeXt neural network model achieves high model accuracy, 95 %, with a small number of epochs. The experiment indicates that our achievement outperforms several counterpart methods.

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CoboShell Robot for Automatic Scallop Shelling process: Concepts and Applications

CoboShell Robot for Automatic Scallop Shelling Process: Conc...

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IEEE/ASME (AIM) international conference on Advanced Intelligent Mechatronics

作者： Othman Lakhal Abdelkader Belarouci Xinrui Yang Taha Chettibi Rochdi Merzouki CRIStAL CNRS-UMR 9189 University of Lille Villeneuve d’Ascq France

Shelling scallops can be a labor-intensive and repetitive task that can lead to musculoskeletal disorders for the operators. The repetitive nature of the task and the force required to open the scallop shells can significant strain the hands, wrists, and arms of the operators. In this study, we explored the automation of the shelling process in the seafood industry. We introduced a new mechatronic system called CoboShell, which automates the opening of scallops and the cutting of the nut muscle using a collaborative robot (cobot). CoboShell ensures the preservation of the quality of the fresh sea product. Initially, we addressed a technological challenge by proposing an integrated solution based on the Venturi effect. We used appropriately sized suction cups to handle the non-uniform surfaces of the shells. Subsequently, we focused on a scientific inquiry involving the control of the knife blade’s trajectory using a cobot. The goal was to guide a flexible knife blade along the inner flat part of the scallop shell. This process aimed to cut the nut muscle and separate the two parts of the scallop. For that, the entry point of the knife is determined automatically in the centre of the scallop opening using an Artificial Intelligence (AI) based technique. Finally, experimental results as well as the repetitive tests have shown that the cobot provided better quality on the muscle cutting with high accuracy and cadence, comparing to conventional industrial arm in the automation of the scallop shelling process.

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Research on the Optimization of Prefabricated Electromechanical Installation process Using Artificial Intelligence

Research on the Optimization of Prefabricated Electromechani...

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Mechatronics, control and Robotics (ICMCR), international conference on

作者： Hongjia Wang Hang Sun Yajun Zhai China Construction Third Engineering Bureau Installation Engineering Co. LTd Lanzhou China

In recent years, advanced information technology, network technology, Internet of Things technology, cloud computing technology and so on are developing rapidly, which has played an important role in promoting the development and reform of the society. The application of these advanced intelligent technology in mechanical and electrical engineering has greatly improved the quality of the project while reducing the construction cost. Mechanical and electrical installation and construction has an important impact on the economic benefits of enterprises. Mechanical and electrical installation engineering has many equipment types and involves many professional fields, so we should fully master the mechanical and electrical installation technology to ensure targeted construction, so as to comprehensively improve the project progress. Firstly, this paper briefly describes the prefabricated board installation process and optimization method. Secondly, the prefabricated mechanical and electrical installation process in intelligent engineering is optimized by using the characteristics of artificial intelligence. Finally, the practical application proves that the flexible use of prefabricated installation and construction technology in the installation and construction process of intelligent mechanical and electrical machinery is beneficial to saving resources and energy, improving labor production efficiency and quality and safety level.

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Designing Web Application Client Program Modules for Asynchronous Event Handling

Designing Web Application Client Program Modules for Asynchr...

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Informatics, Electronics, and Radio Engineering (PIERE), international conference Problems of

作者： Vadim O. Mokrushin Sergey P. Ilinykh Faculty of Automation and Computer Engineering Novosibirsk State Technical University Novosibirsk Russian Federation

ISBN: (数字)9798331516321

ISBN: (纸本)9798331516338

The article considers possible approaches to designing program modules in web application clients. A design approach is proposed, the use of which provides an increase in the ease of debugging programs in the development process, localization of errors and reduction of program code duplication. The proposed design approach is based on the division of responsibility between parts of the program code for the implementation of synchronous and asynchronous operations in asynchronous events. Responsibility for processing network interaction with the server and receiving data from the user through controls in the user interface should be assigned to asynchronous operations and their responsibility should be limited only to receiving data from external sources. In turn, updating the application state based on data from external sources should be limited to the responsibility of synchronous operations. The paper shows how the proposed design approach provides the above improvements and provides examples of program code.

关键词： Location awareness Codes process control Debugging User interfaces Servers Informatics Testing

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Application of Artificial Intelligence Technology in Big Data Nining 6th

Application of Artificial Intelligence Technology in Big Dat...

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6th international conference on Innovative computing, IC 2023

作者： Zhou, Xueyun Qi, Yongjun Tang, Hailin Department of Computer Science and Engineering Guangzhou College of Technology and Business Guangdong510850 China Faculty of Metadata and Computing Guangdong Baiyun University Guangdong510450 China Mongolian University of Science and Technology Bayanzurkh District Ulaanbaatar13341 Mongolia

ISBN: (纸本)9789819920914

Data mining is the process of expressing knowledge through data collection and processing. This is an important technique for efficiently extracting batch data. Artificial intelligence (AI) is a simulation technology of the human brain. It makes full use of computer technology and other subject technologies for intelligent learning and machine control. Both are advanced data management technologies, and both have broad application prospects. This article mainly introduces the clustering algorithm and TextRank algorithm. This paper uses AI technology to conduct research and application in big data mining (BDM), and establishes a mathematical model of the underlying TextRank algorithm. The model is solved by the TextRank algorithm, and the status of research and application of AI technology in BDM is assessed,. Experimental results show that the algorithm improves the research and application of embedded big data intelligent technology by 55% and reduces false positive rate and false positive percentage. Finally, by comparing the research and application analysis of artificial intelligence technology in large data storage. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Data mining

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4th international conference on Innovative Data Communication Technology and Application, ICIDCA 2022

4th International Conference on Innovative Data Communicatio...

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4th international conference on Innovative Data Communication Technologies and Application, ICIDCA 2022

The proceedings contain 100 papers. The topics discussed include: security and privacy preservation for data communication network;insights into NoSQL databases using financial data: a comparative analysis;a dynamic fuzzy engine for adaptive control towards improvement of network performance in big data environment;a resource-optimized and accelerated sentiment analysis method using serverless computing;tuning multi-layer perceptron by hybridized arithmetic optimization algorithm for healthcare 4.0;digital evidence management system for cybercrime investigation using proxy re-encryption and blockchain;hybrid neural network architecture for multi-label object recognition using feature fusion;a review on vulnerabilities to modern processors and its mitigation for various variants;metaheuristics approach to improve data analysis process for the healthcare sector;swarm intelligence in data science: challenges, opportunities and applications;and analysis of in-place matrix rotation of square matrix for information security applications.

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Development of identification based fuzzy supervisory control for pressure tank system

Development of identification based fuzzy supervisory contro...

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international conference on control, automation and Systems ( ICCAS)

作者： Natcha Suwatanamala Napasool Wongvanich Department of Instrumentation and Control Engineering School of Engineering King Mongkut’s Institute of Technology Ladkrabang Bangkok Thailand

This paper presents the development of identification based fuzzy supervisory control for application to pressure process. The system identification is carried out using an integral based method that reformulates the differentials with an integral, that provides robustness to noise. A theoretical analysis of the identification method is also provided. Pressure data was obtained through the use of a pressure guage which is connected to a workstation via a DAQ. The collected data was then identified using the developed identification algorithm. Appropriate PID gains are firstly selected by pole placement methodology, where they are later modified with fuzzy rules according to the desired responses. Results show that the designed fuzzy supervisory control outperformed the constant PID gains which was designed by pole placements.

关键词： Fuzzy control Fuzzy sets PI control process control Supervisory control Solids Robustness

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An improved Potential Function Based on Target Position for Underwater Vehicles Collision Avoidance

An improved Potential Function Based on Target Position for ...

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international Joint conference on Neural Networks (IJCNN)

作者： Qihe Shan Haoran Zhao Shuo Li Tieshan Li Yi Zuo School of Navigation Dalian Maritime University Dalian China School of Marine Electrical Engineering Dalian Maritime University Dalian China School of Automation Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (数字)9798350359312

ISBN: (纸本)9798350359329

In this paper, the collision avoidance process of underwater vehicles is considered, and an improved potential function is proposed to reduce the energy consumption of underwater vehicles when approaching the target position. Aiming at the negative gradient of the potential function in the controller, the potential function based on target position is proposed to prevent underwater vehicles from oscillating near the target position due to the excessive negative gradient of the potential function. Then, the Lyapunov function is used to prove that the potential function can achieve the purpose of underwater vehicles collision avoidance [1], and the improved potential function is compared with the general potential function during collision avoidance. Finally, two potential functions are compared by simulation, which shows the advantage of improving the potential energy function in reducing unnecessary energy consumption.

关键词： Potential energy Energy consumption Neural networks process control Maintenance Safety Collision avoidance

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