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检索条件"任意字段=Conference on Advanced Process Control and Automation"

共 4413 条记录，以下是11-20 订阅

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Research on the control Characteristics of Three Types of Coil type Electromagnetic Launcher

Research on the Control Characteristics of Three Types of Co...

引用

2024 International conference on advanced control Systems and automation Technologies, ACSAT 2024

作者： Liu, Junjie Shi, Jianming Cai, Bolin Air Force Engineering University Air Defense and Antimissile School Xi'an China

ISBN: (纸本)9798331541668

To investigate whether the sleeve armature, induction coil armature, and direct fed coil armature of three electromagnetic emitters have the same control law, the McKinney analysis method was used to establish the control equations of the three systems, and the control equations were organized into the same structure. The finite element analysis method was used to establish the finite element models of the three systems, and the motion process of the three systems was calculated through the control equations and finite element models. The results showed that the calculated values of the two models were basically the same, verifying the accuracy of the models and proving that although the configurations of the three systems were different, they had the same control law. © 2024 IEEE.

关键词： Electromagnetic launchers

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Motion Reproduction of Loading Explosive with Compensation for Variations in Position and Direction of Hole by Image processing

Motion Reproduction of Loading Explosive with Compensation f...

引用

IEEE/ASME International conference on advanced Intelligent Mechatronics (AIM)

作者： Horikoshi, Moe Kotani, Izumi Nozaki, Takahiro Keio Univ Grad Sch Integrated Design Engn Yokohama Kanagawa Japan Keio Univ Dept Syst Design Engn Yokohama Kanagawa Japan

ISBN: (纸本)9798350355376;9798350355369

Mountain tunnel excavation has two problems, which are a shortage of skilled engineers and frequent industrial accidents. automation of mountain tunnel excavation is progressing to solve these problems. However, loading explosives in mountain tunnel excavation is difficult to automate because this task requires a sense of force. Motion reproduction is an expected method to automate the process of loading explosives that takes the sense of force into account. It uses bilateral control to save and reproduce motions and has the advantage of being able to reproduce forces and teach human skills to manipulators. On the other hand, motion reproduction cannot succeed in saved tasks when the relative position of the loading hole and manipulator or the direction of the loading hole changes from the saving phase. Therefore, this paper proposes a method to compensate for variations in relative position and direction by image processing based on depth information in motion reproduction for automation of loading explosives. Experiments showed the effectiveness of the proposed method through the successful reproduction of the insertion motion despite variations in relative position and direction.

关键词： motion reproduction bilateral control image processing

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Simulation Analysis of Biogas Generator Set in Rural Power System Based on PSCAD 6

Simulation Analysis of Biogas Generator Set in Rural Power S...

引用

6th IEEE advanced Information Management, Communicates, Electronic and automation control conference, IMCEC 2024

作者： Liu, Jun Zhou, Miao Tang, Aihong Zeng, Zhongwen State Grid Hubei Electric Power Co. Ltd. Electric Power Research Institute Wuhan China Wuhan University of Technology School of Automation Wuhan China

ISBN: (纸本)9798350316520

The capacity of the rural power system is small. When it is disturbed dramatically, the frequency and voltage are no longer constant, but a dynamic process. to analyze the transition process of rural power systems, this paper uses PSCAD/EMTDC software to establish the mathematical simulation model of the biogas machine and its speed control system and generator excitation system and analyzes its components in detail. © 2024 IEEE.

关键词： Biogas

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Design of a Learning Station for Object Regulation of Various control Systems for Energy Sector 25

Design of a Learning Station for Object Regulation of Variou...

引用

25th International Carpathian control conference (ICCC)

作者： Podlasek, Szymon Knap, Pawel Lalik, Krzysztof Balazy, Patryk AGH Univ Krakow Fac Mech Engn & Robot Krakow Poland

ISBN: (纸本)9798350350708;9798350350715

The scope of the paper is focused on the development of a stand for learning object regulation for the didactics of control systems in the power industry. The test system, based on the executive part in the form of a fan and a damper, and the measuring part (anemometer) will provide the possibility of manual and automatic control of the selected actuator in order to achieve the set value. The stand will allow to get acquainted with the actual electric diagram of the control cabinet, the construction and application of individual components, and to provide insight on current data from all its elements. The obtained samples will enable the identification of the object, build a model and develop a successful control strategy, e.g. by selecting PID controller settings. Ultimately, the bench can provide a platform for testing the application of more advanced control systems, such as neural networks, by expanding the number of process variables and introducing a number of disturbances. Due to the versatility of the solutions used, it is possible to adapt the stand to various levels of user advancement, from engineers who want to learn selected tools of the automation work, up to advanced professionals. The main purpose is explanation of possibilities for collaboration between future technologists and automation experts.

关键词： control systems data analysis PID controller neural control research and teaching station

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Virtual sensor for advanced grinding control through machine learning 12

Virtual sensor for advanced grinding control through machine...

引用

2024 IEEE Andescon conference

作者： Monroy Vilcahuaman, Percy Erez Paredes, Marina Gabriela S. P. Univ Nacl Ingn Lima Peru Univ Estadual Campinas Campinas Brazil Univ Tecnol Peru Lima Peru

ISBN: (纸本)9798350355291;9798350355284

This paper introduces the development of a virtual sensor utilizing machine learning algorithms in response to challenges observed with physical sensors in grinding control processes, such as calibration issues, communication failures, and frequent disconnections. To enhance automation process reliability, we propose employing estimators based on Random Forest Regression (RFR), Multilayer Perceptron (MLP), and one-dimensional Convolutional Neural Networks (CNN-1D) with kernel filters. The performance of these models is evaluated within an advanced control loop incorporating OPC protocol communication with a PLC. This evaluation identifies the most robust algorithm across diverse operational conditions.

关键词： Machine learning virtual sensor deep learning automation

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control STUDY FOR AUTOMATIC STARTUP OF A PRESSURIZED WATER REACTOR NUCLEAR POWER PLANT 31

CONTROL STUDY FOR AUTOMATIC STARTUP OF A PRESSURIZED WATER R...

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31st International conference on Nuclear Engineering (ICONE) - 24/7 Clean Nuclear Energy - Solution for Global Warming

作者： Zhang, Qi Yu, Wenhao Xiao, Longhao Sun, PeiWei Wei, Xinyu Xi An Jiao Tong Univ Sch Nucl Sci & Technol Xian Peoples R China

ISBN: (纸本)9780791888315

To improve the automation for the startup process of a pressurizer water reactor (PWR) nuclear power plant (NPP), reduce the work intensity of the reactor operator, shorten the startup time, and improve the correctness and standardization of the process, the automatic control of NPP startup process is studied in this paper. First, the control scope and the requirements of automatic startup control system are analyzed and studied based on the characteristics and the operation management process of PWR NPP. Aiming at the current manual control tasks, three realization control methods are proposed, including sequence control, traditional closed loop control and advanced algorithm. A simulation platform for automatic startup system of typical PWR NPP was established based on 3KeyMaster, Relap5, and MATLAB/Simulink. Two typical manual control processes in state 3 for the startup process are selected to design the automatic control system based on PI controller and fuzzy controller respectively, and the simulation tests are carried out. The simulation results show that the designed control systems can realize the automatic control of the processes. Compared with the manual control, the control performance is improved, and the operation steps and work burden of operator are reduced. This study can provide a reference for the design of automatic startup and shutdown control system, and it is of great significance for improving the automation of startup and shutdown process of PWR NPP.

关键词： Automatic startup Fuzzy control Closed loop

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An intelligent vision system for the detection and classification of heterogeneous objects moving on a belt conveyor 28

An intelligent vision system for the detection and classific...

引用

28th International conference on Methods and Models in automation and Robotics (MMAR)

作者： Majewski, Pawel Lysiak, Adam Klar, Lukasz Bochenek, Krzysztof Opole Univ Technol Dept Control Sci & Engn Opole Poland KBA AUTOMAT Spz Zoo Opole Poland

ISBN: (纸本)9798350362350;9798350362343

In this paper, a newly developed author's vision system allowing identification of packages moving on the conveyor belt and their classification is presented. An important aspect is that the mentioned objects move at relatively high speeds, which is challenging for any vision system. The methodology used in the plant is based on a hybrid combination of algorithmic determination of the features of a given object with artificial neural networks performing the classification process. An essential aspect of the work is using the advanced camera, which provides three-dimensional image analysis. The obtained verification results confirm the system's usefulness not only for research purposes but even for implementing industrial automation tasks.

关键词： vision system depth map analysis artificial neural network classification

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Research Towards an Optimal Method of Modeling and Regulating a Cement Mill Using AI Algorithms 28th

Research Towards an Optimal Method of Modeling and Regulatin...

引用

2024 International conference automation

作者： Pawus, Dawid Paszkiel, Szczepan Opole Univ Technol Fac Elect Engn Automat Control & Informat Proszkowska St 76 PL-45758 Opole Poland

ISBN: (纸本)9783031782657;9783031782664

This research explores the optimization of modeling and control strategies for a cement mill using advanced Artificial Intelligence (AI) techniques. Neural Nonlinear AutoRegressive with eXogenous input (NNARX) models are employed to capture the nonlinear, multivariable dynamics of the cement grinding process. The Levenberg-Marquardt algorithm demonstrated superior training performance, achieving high accuracy in predicting key process parameters like inlet chamber fill and main drive current. The study also presents a neural control approach based on inverse modeling, enabling precise input predictions to maintain desired output conditions, stabilizing product quality and minimizing energy usage. Comparisons of neural network configurations suggest that simpler models are effective, with only slight benefits from more complex networks.

关键词： non-linear models artificial neural networks expert system NARX comparative study cement mill process control practical approach

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Research on Nonlinear Hydraulic Servo System control Algorithm 7

Research on Nonlinear Hydraulic Servo System Control Algorit...

引用

7th IEEE advanced Information Technology, Electronic and automation control conference, IAEAC 2024

作者： Li, Pengfei Liu, Yong Ou, Yangbin Wang, Guangsen Ma, Mingzhong Naval University of Engineering National Key Laboratory of Electromagnetic Energy Beijing China

ISBN: (纸本)9798350339161

This paper systematically analyzes the general modeling process of hydraulic servo system, points out the simplified conditions of its approximation as a linear model, and makes clear the shortcomings of its control as a linear model. In order to satisfy the land-based arresting device's accuracy control of the hydraulic servo system requirements, using the immunity algorithm to control the hydraulic servo system, the internal unmodeled dynamics process of hydraulic servo system, the internal and external disturbance quantity as an extended state, through the estimated expansion and using the control volume of its compensation, obtained the good control effect. The estimation of the unmodeled dynamic characteristics makes the whole control process less dependent on the accuracy of the model. The problem of nonlinear control can be solved by compensating the internal nonlinear characteristics as disturbance quantity. Adopted linear extended state observer and the pd control with the combination of control method, because the immunity control algorithm parameters is more, this article through the theoretical analysis of parameters and the system stability, the relationship between parameter setting process is given, based on the actual prototype test proved that the proposed method is feasible, improve the control performance of hydraulic servo system. © 2024 IEEE.

关键词： System stability

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An Industrial Private 5G Testbed for Networked automation Systems

An Industrial Private 5G Testbed for Networked Automation Sy...

引用

IEEE/ASME International conference on advanced Intelligent Mechatronics (AIM)

作者： Geng, Jing Kashef (Hany), Mohamed Candell, Richard NIST Smart Connected Syst Div Gaithersburg MD 20899 USA

ISBN: (纸本)9798350355376;9798350355369

Interest in integrating wireless communication capabilities into industrial Cyber-Physical Systems (CPS) has surged recently. Driven by advantages like ease of deployment, reduced maintenance costs, and asset mobility, CPSs now employ wireless communication for manufacturing control, logistics tracking, process control, and heavy machinery management. While wireless technologies such as IEEE 802.11, 5G cellular networks, and redundant IEEE 802.15.4 networks offer possible solutions, the challenge to the adoption of these solutions for control systems lies in ensuring reliable and deterministic data delivery. Software-based private 5G implementations emerge as an intriguing solution, offering architectural flexibility, potential cost-effectiveness, and adaptability for diverse traffic types. We present a novel software-based 5G industrial wireless testbed with precision wireless channel measurement and control to support measurement-based research in the application of private 5G networks to these operational scenarios.

关键词： Industrial Wireless 5G cyber-physical systems testbed

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