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

共 4410 条记录，以下是91-100 订阅

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Evaluación por simulación de estrategias de control automático para fermentadores industriales de cerveza 26

Evaluación por simulación de estrategias de control autom...

引用

2024 IEEE International conference on automation/26th Congress of the Chilean Association of Automatic control, ICA-ACCA 2024

作者： Marquez, Cristobal Saa, Pedro Perez-Correa, Jose R. Pontificia Universidad Católica de Chile Departamento de Ingeniería Química y Bioprocesos Santiago Chile

ISBN: (纸本)9798350378115

The operation and control of beer fermentation at an industrial scale (> 3000 hL) pose significant challenges due to the dynamic nature of the process and the large reactor volumes involved. Effective control of fermentation temperature, a critical parameter, is hindered by the lack of advanced control models that consider volume heterogeneity. To address this, we implemented a compartmentalized phenomenological model to simulate the fermentation process, focusing on temperature control in the reactor. The model was utilized to compare two control strategies: a conventional Proportional-Integral-Derivative (PID) control system and a Model Predictive control (MPC) framework, both designed to track a reference temperature profile. Simulation results highlight significant temperature variations across reactor compartments, necessitating the adoption of spatially aware control strategies. The MPC-based control system demonstrated superior performance compared to the PID approach, offering more precise tracking of the temperature reference in all compartments. These findings underscore the potential of MPC for optimizing temperature control in large-scale fermentation processes. Future work will focus on the industrial validation of the model and the control strategies for implementation in operational settings. © 2024 IEEE.

关键词： Beer

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Optimization and Application of Intelligent control System of Agricultural Greenhouse under Internet of Things Technology

Optimization and Application of Intelligent Control System o...

引用

2024 International conference on automation control, Algorithm, and Intelligent Bionics, ACAIB 2024

作者： Chen, Hezhou Chongqing Aerospace Polytechnic Chongqing400021 China

ISBN: (纸本)9781510682597

The rapid progress of modern agricultural science and technology has made greenhouse cultivation an important way to break the seasonal barriers and improve agricultural production. However, the complexity of the agricultural greenhouse management process and the need for precise control of environmental factors such as light, temperature, humidity, etc., do not match with the manual operation under the traditional production methods, resulting in the economic benefits of greenhouses being difficult to meet expectations. In this regard, this paper will design and construct an agricultural greenhouse intelligent control system based on the requirements of the actual project, utilizing advanced technologies such as sensors and the Internet of Things, with the aim of promoting the innovation and upgrading of agricultural production methods. Practice has proved that this system takes the perception layer, transmission layer and application layer of the Internet of Things as the structural framework, integrates data collection, processing, analysis and control functions into one, realizes real-time on-line monitoring of the main environmental parameters of the greenhouse, and completes automatic control of the actuator. This system provides solid technical support for the automation, intelligentization, networking and scientific production of agricultural greenhouses, and is of positive guiding significance for upgrading the modernization level of agricultural greenhouses in China. © 2024 SPIE.

关键词： Smart agriculture

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Repetitive T-S Fuzzy Model-Based Iterative Learning control Law Design 63

Repetitive T-S Fuzzy Model-Based Iterative Learning Control ...

引用

63rd IEEE conference on Decision and control, CDC 2024

作者： Maniarski, Robert Paszke, Wojciech Tao, Hongfeng Rogers, Eric Institute of Automation Electronic and Electrical Engineering University of Zielona Góra ul. Szafrana 2 Zielona Góra65-246 Poland Jiangnan University Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Wuxi214000 China University of Southampton School of Electronics and Computer Science SouthamptonSO17 1BJ United Kingdom

ISBN: (纸本)9798350316339

This paper develops an iterative learning control law for a class of nonlinear systems. The approach used to represent the nonlinear system dynamics is a Takagi-Sugeno fuzzy repetitive process that considers the two directions of information propagation. Then, the control action investigated is a state feedback control law combined with a PD-type feed-forward learning control law. Consequently, linear matrix inequality techniques can be used for control design. Furthermore, this approach allows the design of control action to satisfy the requirements on both the error convergence and the transient dynamics. Finally, an example demonstrates the properties of the new design. © 2024 IEEE.

关键词： State feedback

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DNLight: Learning Efficient Evaluation for Traffic Signal control 43

DNLight: Learning Efficient Evaluation for Traffic Signal Co...

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43rd Chinese control conference, CCC 2024

作者： Jiang, Hui Liu, Meiqin Zhang, Senlin Zheng, Ronghao Lan, Xuguang Xi'an Jiaotong University National Key Laboratory of Human-Machine Hybrid Augmented Intelligence Xi'an710049 China Zhejiang University College of Electrical Engineering Hangzhou310027 China

ISBN: (纸本)9789887581581

Traffic signal control (TSC) is an effective way to alleviate traffic congestion. Since traditional methods cannot adapt to complex and changeable dynamic traffic flows, reinforcement learning (RL) methods have attracted widespread attention from researchers. However, due to the lack of efficient policy evaluation modules, the evolution process faces the challenges of long learning time and slow convergence speed. To achieve efficient policy evaluation and speed up the evolution process, we propose a model, called as DNLight, which uses advanced traffic state design and dueling network to facilitate evaluation. Specifically, for a target intersection in the network, DNLight can not only express the phase need of queuing vehicles and running vehicles more accurately, but also evaluate the advantage of the strategies and promote the evolution of advantageous strategies. We conduct experiments on real-world datasets, and the results show that our proposed model has better performance (an average improvement of 3.65%) and stronger stability compared to the best baseline method. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： Traffic congestion

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Architecture of Digital Twin for Automating Waste and Recycling Material Sorting process 29

Architecture of Digital Twin for Automating Waste and Recycl...

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29th IEEE International conference on Emerging Technologies and Factory automation, ETFA 2024

作者： Parbat, Shreyas Iqbal, Imam Viedt, Isabell Urbas, Leon Technische Universität Dresden Process Control Systems & Process Systems Engineering Group Dresden Germany

ISBN: (纸本)9798350361230

Waste and recycling material sorting is crucial for reducing environmental impact and promoting resource recovery. However, its complexity poses significant challenges, necessitating the development of effective sorting processes. Manual operation of these plants can be less efficient than automated systems. The first step toward automation is utilizing a Digital Twin, which combines fundamental principles and data-driven insights into the waste sorting process. To achieve this, the equipment involved in waste sorting plants can be analyzed in detail, focusing on operational settings and their impact on overall efficiency. Initially, a steady-state model of the plant is developed, followed by the implementation of advanced strategies like model predictive control. The model can be rigorously tested and refined using a case study on German post-consumer waste. The architecture of the Digital Twin, comprising various building blocks such as the modeling and simulation block, is being developed to transition away from manual operations. This Digital Twin aims to enhance sorting efficiency through offline and online optimization of operational set points, leading to a more sustainable and resource-efficient future. Through simulations and real-time data integration, a Digital Twin for the waste and recycling material process can aid with process design, fine-tuning, and plant automation. © 2024 IEEE.

关键词： Circular economy

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Research on Fuzzy control System for Two-Wheeled Differential Drive Robot 6

Research on Fuzzy Control System for Two-Wheeled Differentia...

引用

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

作者： Yang, Xiao Bai, Shan Cao, Yuxin Cai, Jing Liu, Sen Chen, Hanqing Technology Development Co. Ltd. Beijing China

ISBN: (纸本)9798350316520

The control of speed and direction is a nonlinear problem in the automatic tracking process of two-wheeled differential drive robots. Firstly, the dynamic model, trajectory tracking model, and DC motor model of the robot are established. Secondly, a fuzzy control system is designed, which takes the distance deviation and angle deviation as input variables and the desired linear velocities of the left and right wheels as output variables. A fuzzy rule table is also designed. Finally, three sets of simulation experiments are conducted in the Matlab/Simulink environment. Among them, the fixed-point motion experiment demonstrates the superior performance of the fuzzy controller in improving the response speed and steady-state accuracy of the robot. The trajectory tracking experiment further illustrates the remarkable effectiveness of the fuzzy controller in enhancing the robot's following characteristics. The research results provide strong support and experience for the trajectory tracking and navigation of robots in practical applications. © 2024 IEEE.

关键词： Fuzzy control

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Research on the Teaching Method of Automatic control Principle Based on Project-Based Learning (PBL) 13

Research on the Teaching Method of Automatic Control Princip...

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13th IEEE Data Driven control and Learning Systems conference, DDCLS 2024

作者： Liu, Tao Lu, Hongqian School of Information and Automation Qilu University of Technology JiNan250353 China

ISBN: (纸本)9798350361674

This study discusses the teaching method of control principle based on problem-oriented learning (PBL), and verifies its feasibility and effectiveness through teaching practice and effect evaluation. Research has found that the PBL teaching method can stimulate students 'interest, improve their learning effect, and cultivate students' problem-solving ability, teamwork and innovation ability. Reasonable teaching process design and selection of teaching resources and tools are crucial to the successful implementation of PBL teaching. In teaching, the in-depth exploration of teaching design is conducted to further expand the sample size, combined with the specific course content, improve the evaluation system, and explore the combination with other teaching methods and introduce more advanced technologies to promote the innovation and development of control principle teaching. © 2024 IEEE.

关键词： Students

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Sharing and Collaborating When Teaching Automatic control: An Experience-Based Needs Analysis 32

Sharing and Collaborating When Teaching Automatic Control: A...

引用

32nd Mediterranean conference on control and automation, MED 2024

作者： Knorn, Steffi Garone, Anja Varagnolo, Damiano Garone, Emanuele Technische Universität Department of Control Berlin Germany Brussels Institute for Advanced Studies Belgium Norwegian University of Science and Technology Department of Engineering Cybernetics Norway University of Padova Department of Information Engineering Italy Free University of Brussels Department of Automation and Systems Analysis Belgium

ISBN: (纸本)9798350395440

We discuss two specific issues that affected the workflows in our career as automatic control teachers and that are related to how teachers may establish teaching-oriented collaborations with colleagues from the same or different institutions. The first issue we identify is the systematic difficulty that one encounters when wanting to exchange instructional material with colleagues, while the second is the complexity of establishing students exchange programs across different institutions and nations. We discuss the nature and structure of the two problems, discuss why and how they are connected, and draw practical examples of how these problems may affect workflows. We then present a strategy that aims at solving these issues based on the introduction of an opportune indexing of instructional material in terms of contents and complexity of such contents, and how this information may be graphically displayed so to ease human and machine interpretability. We further discuss how this approach was used on a smaller scale to ease collaborations among close colleagues, and how it may be extended and adopted on a larger scale. © 2024 IEEE.

关键词： process control

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Structure for the Implementation and control of Robotic process automation Projects 1

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2nd International conference on advanced Network Technologies and Intelligent Computing (ANTIC)

作者： Patricio, Leonel Filipe Santos Costa, Carlos Roberto de Sousa Fernandes, Lucas Pimenta Varela, Maria Leonilde Rocha Univ Minho Dept Prod & Syst Engn P-4800058 Guimaraes Portugal Fed Inst Minas Gerais IFMG Bambui Medeiros HighwayBox 05 Bambui MG Brazil UNOPAR Univ Norte Parana Ave Paris 675 BR-86041100 Londrina PR Brazil Univ Minho ALGORITMI Res Ctr P-4804533 Guimaraes Portugal

ISBN: (数字)9783031281839

ISBN: (纸本)9783031281822;9783031281839

Robotic process automation known as RPA aims to automate business processes by reproducing human interactions with the graphical user interface. The implementation of a technology such as Robotic process automation (RPA) allows all these routines to be executed by software "robots". The objective of this work is to develop a structural management framework for the implementation and control of RPA projects, based on the PDCA cycle and the RPA life cycle. To achieve this objective, a bibliographical analysis was carried out using key terms related to the theme. Few works related to the theme were identified. An analysis of the works was carried out, verifying that none of the works addresses all phases of the PDCA cycle. However, what is new is a structural framework that covers all phases of the PDCA cycle and the RPA lifecycle. In addition, this framework presents the functions of each of the stages of the RPA life cycle, necessary for the implementation and control of RPA projects, and presents the external/internal structure of the organization chart of an RPA team, passing through the various levels of implementation of RPA, given the complexity of this technology. Finally, a proposed methodology was also presented in the framework to assist in the creation of RPA KPI's. In short, this framework stands out from the others for being quite complete and being able to have good proposals for managing the implementation and control of RPA projects, in teams that are at different levels of RPA implementation.

关键词： Robotic process automation (RPA) PDCA cycle control RPA projects RPA life cycle

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Servo control technology for automatic screw-tightening process of robotic arm based on multi-vision sensor 10

Servo control technology for automatic screw-tightening proc...

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2024 10th International conference on Applied Materials and Manufacturing Technology, ICAMMT 2024

作者： Liu, Zongxin Xie, Wenzhou Xiao, Muzheng Zhang, Zhijing Jin, Xin Qin, Yan School of Mechanical Engineering Beijing Institute of Technology Beijing100081 China Beijing Institute of Remote Sensing Equipment Beijing100048 China

This article discusses the servo control technology for the automatic screw-tightening process of a robotic arm based on multiple visual sensors, aiming at the assembly requirements of complex spatial structural components. The study emphasizes the importance of automated screw-tightening processes in industrial automation to improve efficiency and product quality. Image processing and servo technology have been introduced to achieve precise control of the screw-tightening process. The research focuses on developing a distributed architecture to control robot arms and camera modules, process image information, and make servo adjustments based on perception data. Detailed introductions are given to the assembly control system model, visual observation scheme, image processing algorithms for hole recognition and screwdriver posture detection, as well as servo control mechanism. The research aims to improve the efficiency and accuracy of the screw-tightening process through advanced technology integration. © Published under licence by IOP Publishing Ltd.

关键词： Robotic arms

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