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

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Design of a Model Predictive controller for a Linear Hydraulic Motor 24

Design of a Model Predictive Controller for a Linear Hydraul...

引用

24th International Carpathian control conference, ICCC 2023

作者： Celovsky, Pavel Wagnerova, Renata VSB - Technical University of Ostrava Department of Control Systems and Instrumentation Ostrava Czech Republic

ISBN: (纸本)9798350310221

This paper presents the application of a MPC controller for a linear hydraulic motor. The mathematical model of a linear hydraulic motor was designed using a proportional servo valve. The analysis of the choice of the controller's adjustable parameters and the achieved control performance will be presented. This paper aims to find out which set of adjustable parameters of the predictive controller is optimal for the given type of system, as the highest quality of a control process achieved. © 2023 IEEE.

关键词： Model predictive control

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Model Predictive control Strategy for Stable Power Transmission of DWPT System Based on Mutual Inductance Identification

Model Predictive Control Strategy for Stable Power Transmiss...

引用

2023 IEEE International conference on advanced Power System automation and Protection, APAP 2023

作者： Wang, Weikun Jin, Tao Wen, Yun Lin, Yunzhi Ma, Jun Fuzhou University College of Electrical Engineering and Automation Fuzhou China China Railway Electrification Engineering Group CO. LTD Beijing China Fujian Power Supply Service Co. LTD Fujian China

ISBN: (纸本)9798350306668

Dynamic wireless power transfer (DWPT) system has the problem of unstable transmission power caused by the change of coupling coefficient in the process of power transmission. This paper proposes a finite control set model predictive control (FCS-MPC) strategy based on mutual parameter identification for dynamic wireless power transfer system. The transmission characteristics of DWPT system with LCC-S resonant compensation topology is analyzed, and the output current of the inverter in the primary side is taken as reference for mutual inductance identification by particle swarm optimization (PSO) algorithm. Then, the FCS-MPC algorithm based on PSO is used to control the output voltage by changing phase-shift angle in the primary side. For precise control, the compensation calculation of the phase-shift angle is added. The simulation at the end of the paper verifies the accuracy of the PSO algorithm and the effects of proposed strategy under different coupling coefficients and load. The results indicate that the proposed strategy has fast transient response and stable power transmission in DWPT system which can be used to improve the system performance. © 2023 IEEE.

关键词： Model predictive control

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Predictive control method for ballast leveling systems with multiple switchgear 3

Predictive control method for ballast leveling systems with ...

引用

3rd International conference on Mechanical, Electronics, and Electrical and automation control, METMS 2023

作者： Zhizheng, Gao Siyuan, Wang Zhongli, Yao Dalian Maritime University College of Marine Electrical Engineering Dalian Maritime University Ship Electric BuildingNo. 1 Linghai Road Liaoning Province Dalian China

ISBN: (纸本)9781510666689

The tilt of the leveling ship in the leveling process has to meet the high precision process requirements while at the same time minimizing the actuator action frequency in the control process and extending the actuator life, which is very important for leveling processes with time delays and complex external disturbances. A group of advanced control strategies must be designed to match them. Firstly, a ballast leveling mechanism model is established based on the hydrostatic characteristics of the ship, followed by the design of a multi-switch device predictive control algorithm. By making the rolling time domain larger than the maximum time delay and ensuring that the switchgear combination is constant in the time domain, LESO is introduced for online prediction of unpredictable disturbances and rolling optimized predictive control of the equipment combination, the influence of time delay and external disturbances on the control system is weakened, and the switching frequency of switchgear is reduced. In the final simulation, the tilt tracking RMSE was reduced by 22.2% compared to conventional switching control, and the number of actuator switches was reduced by 6%. © 2023 SPIE. All rights reserved.

关键词： Time delay

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Observability and Identifiability Analyses of process Models for Agricultural Anaerobic Digestion Plants 24

Observability and Identifiability Analyses of Process Models...

引用

24th International conference on process control (PC)

作者： Hellmann, Simon Hempel, Arne-Jens Streif, Stefan Weinrich, Soeren DBFZ Deutsch Biomasseforschungszentrum gGmbH Biochem Convers Dept Leipzig Germany Saxon Univ Cooperat Educ Glauchau Germany Tech Univ Chemnitz Chair Automat Control & Syst Dynam Chemnitz Germany Munster Univ Appl Sci Fac Energy Bldg Serv Environm Engn Munster Germany

ISBN: (纸本)9798350347630

Dynamic operation of anaerobic digestion plants requires advanced process monitoring and control. Different simplifications of the Anaerobic Digestion Model No. 1 (ADM1) have been proposed recently, which appear promising for model-based process automation and state estimation. As a fundamental requirement, observability and identifiability of these models are analyzed in this work, which was pursued through algebraic and geometric analysis. Manual algebraic assessment was successful for small models such as the ADM1-R4 and simplified versions of the ADM1-R3, which were derived in this context. However, for larger model classes the algebraic approach showed to be insufficient. By contrast, the geometric approach, implemented in the STRIKE GOLDD toolbox, allowed to show observability for more complex models (including ADM1-R4 and ADM1-R3), employing two independent algorithms. The present study lays the groundwork for state observer design, parameter estimation and advanced control resting upon ADM1-based models.

关键词： ADM1 model simplification Biogas technology parameter estimation STRIKE GOLDD

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Integrating GNSS and INS Data with Deep Learning-Enhanced Invariant Extended Kalman Filter for Train Localization 43

Integrating GNSS and INS Data with Deep Learning-Enhanced In...

引用

43rd Chinese control conference, CCC 2024

作者： Sun, Zheyu Song, Haifeng Zhou, Min Yin, Hao Dong, Hairong Beijing Jiaotong University School of Automation and Intelligence Beijing100044 China Beihang University School of Electronic and Information Engineering Beijing100191 China Shandong University of Science and Technology College of Electrical Engineering and Automation Qingdao266590 China

ISBN: (纸本)9789887581581

Ensuring precise train localization is crucial for the operational safety and efficiency of railway networks. Conventional localization techniques face limitations due to dynamic environmental noise, impacting the accuracy of such systems. In response, this study proposes a sophisticated approach that incorporates a deep learning-enhanced Invariant Extended Kalman Filter, utilizing a Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) architecture. This innovative method dynamically adjusts the noise parameters within the Kalman filtering process. The CNN component extracts spatial features, while the LSTM module analyzes temporal sequences, thereby optimizing the filter's performance under varying environmental conditions. The integration of Global Navigation Satellite System (GNSS) and Inertial Navigation System (INS) data forms the core of our investigation, addressing the complexities inherent in train localization tasks. Rigorous evaluations on real-world datasets have demonstrated a notable enhancement in localization accuracy, achieving a [specific improvement percentage] over conventional Kalman filter methods. The outcomes of this research underscore the transformative impact of deep learning on railway system advancements and set a foundation for subsequent innovations in intelligent transportation systems. By merging advanced deep learning algorithms with traditional signal processing, our work contributes to the evolution of more dependable and efficient train localization solutions, paving the way for future developments in this critical area of intelligent transportation systems. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： Extended Kalman filters

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Construction of automation Operation Management and control Platform for Power Grid Enterprises Based on Digital Transformation

Construction of Automation Operation Management and Control ...

引用

2024 International conference on Electrical Drives, Power Electronics and Engineering, EDPEE 2024

作者： Deng, Churan Pang, Peng Wan, Chan Zhao, Shuang Csg Guangdong Power Grid Co. Ltd. Guangdong Guangzhou510600 China

ISBN: (纸本)9798350395631

Digital transformation has triggered a profound change in the power industry, and power grid enterprises have ushered in brand-new opportunities and challenges. Based on the construction of automatic operation management and control platform, this paper discusses the far-reaching influence of digital transformation on the operation and management of power grid enterprises. Through the comprehensive use of real-time monitoring, intelligent dispatching, predictive maintenance and other advanced technical means, the digital, intelligent and sustainable development of power system operation has been realized. Firstly, this paper analyzes the background of digital transformation and the challenges faced by the power industry, and emphasizes the urgency of building an automatic operation control platform. Subsequently, the key functions of the platform are introduced in detail, including real-time monitoring of power system status, intelligent dispatching of power equipment, predictive maintenance of key equipment, etc., which provides all-round operational support for power grid enterprises. In the process of implementation, this paper adopts a systematic method, including requirements analysis, technology selection, system design, development and integration, testing and optimization, deployment and training. Through case analysis, it shows the successful implementation of the automation operation management and control platform of power grid enterprises, and presents remarkable achievements in improving operational efficiency, reducing costs and optimizing resources. The analysis of results and benefits shows that the implementation of the automatic operation management and control platform has brought about significant improvement in operational efficiency, cost reduction, resource optimization and service quality. Through digital transformation, power grid enterprises have successfully responded to market changes, improved their competitiveness and laid a solid found

关键词： automation

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Decision Support System for Repair Recommendations on Panels Using the DMAIC Method

Decision Support System for Repair Recommendations on Panels...

引用

2023 International conference on advanced Mechatronics, Intelligent Manufacture and Industrial automation, ICAMIMIA 2023

作者： Tahaj, Yoga Dwyramadhan Al Kindhi, Berliana Adhim, Fauzi Imaduddin Putri Rahayu, Lucky Rahmi, Luthfiah Khafifah Nurul Alyani, Nadhila Institut Teknologi Sepuluh Nopember Dept. Electrical Automation Engineering Surabaya Indonesia

ISBN: (纸本)9798350309225

Quality has become a very important part of the production process, as well as for the company PT Siemens Indonesia. Modern advances and developments change the consumer's perspective in choosing a desired product. Improvement and improvement of product quality in the hope of achieving a product defect rate close to zero defects. The strategy that can guarantee quality is a strategy that is able to maintain process stability, so that the process can be controlled with the aim of minimizing defective products in this final project, the background of the problem is the high voltage panel data, where there are still many panel products that are not suitable. Then from these problems, identification of the types of defective products that often occur, the factors that cause the defective products along with the proposed improvements using the define, measure, analyze, improve, control (DMAIC) method with the aim of reducing and preventing these defects. [1]. The results of identifying the types of defects that often occur show that component shortage is the highest contributor to the data with a percentage of 35%. Therefore, improvements are needed to the problem, namely conducting daily briefings and checking materials regularly, more intensive supervision so that material planning and procurement are still well fulfilled. © 2023 IEEE.

关键词： Defects

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Localization and Distance Measurement of Intruding Objects in Power Transmission Lines Based on Image and Point Cloud Fusion 43

Localization and Distance Measurement of Intruding Objects i...

引用

43rd Chinese control conference, CCC 2024

作者： Zhang, Tianhao Qian, Kun Deng, Feng Southeast University School of Automation Nanjing210096 China Nari Technology Co. Ltd Nanjing211102 China

ISBN: (纸本)9789887581581

To safeguard the operation of ultra-high voltage transmission lines, this study introduces a technique for dynamically monitoring potential security threats to these lines. This technique integrates images and point cloud data to pinpoint and measure the distance of objects intruding into the vicinity of the transmission lines. The methodology focuses on achieving high-precision localization and distance measurement of such objects. Key innovations include advanced image object detection combined with efficient processing of point cloud data. This allows for precise location and reliable distance assessment of objects at significant distances. The process begins with the creation of detailed scene point clouds using unmanned aerial vehicle (UAV) SLAM mapping technology. These point clouds are then aligned with the monitoring LIDAR coordinate system through registration algorithms to use the catenary line model to reconstruct transmission lines. The intrusion's highest point is precisely located by correlating two-dimensional image detection results with the image-to-point cloud mapping and extracting the intruding object's point cloud using Euclidean clustering. The method concludes by calculating the minimum distance from the top of the intrusion to the nearest transmission line, using the catenary line equation. Experimental results indicate that this approach can detect intruders and gauge their distances efficiently and accurately across various ranges and environmental conditions, showcasing exceptional accuracy and robustness, particularly in long-range object detection scenarios. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： Unmanned aerial vehicles (UAV)

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Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system 21

Holistic optimization of a dynamic cross-flow filtration pro...

引用

IEEE 21st International conference on Industrial Informatics (INDIN)

作者： Tebbe, Jorn Pawlik, Thomas Trilling, Marc Lobner, Jannis Lange-Hegermann, Markus Schneider, Jan OWL Univ Appl Sci & Arts Lemgo Germany

ISBN: (纸本)9781665493130

Cyber-physical production systems have emerged with the rise of Industry 4.0 in different industrial fields. Especially the food sector, where inhomogeneous input products like beer/yeast suspensions with different qualities and properties have yet slowed down automation, has potential for this evolution. This contribution presents optimization methods for a dynamical cross-flow filtration plant which is driven by an advanced control concept in combination with data driven product monitoring via inline near infrared spectroscopy (NIR) in order to improve energy savings and filtration performance. Using a hierarchical control and optimization structure, the non stationary batch process is steered towards a high production rate with low energy consumption for a variety of different input products.

关键词： Cyber-physical system Product Monitoring Model Predictive control

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Design of a digital twin system for micro-lens array embossing manufacturing 4

Design of a digital twin system for micro-lens array embossi...

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2023 4th International conference on advanced Materials and Intelligent Manufacturing, ICAMIM 2023

作者： Yang, Zhengjie Ma, Liping Zhang, Jianyong Dong, Wendi Zhang, Qingmeng Chen, Rumeng School of Mechanical and Materials Engineering North China University of Technology Beijing100144 China Institute of Automation CAS Beijing100190 China Binzhou Institute of Technology Weiqiao-UCAS Science and Technology Park Shandong Province Binzhou256606 China

Micro-lens arrays, due to their unique structure and outstanding optical performance, have been widely applied in advanced domains such as display technology, optical imaging, and laser processing. Among the manufacturing techniques, embossing molding is considered an efficient and precise method for fabricating micro-lens arrays. However, given the intricate structural characteristics of these arrays, precise control over the process becomes paramount. This study introduces a digital twin system for micro-lens array embossing manufacturing, grounded on a process knowledge base. The system relies on the rich process knowledge within the backend database combined with real-time sensor data, providing a powerful drive for the digital twin, thereby ensuring the precision and stability of the embossing manufacturing process. Additionally, the digital twin technology not only offers real-time monitoring and feedback for the production process of the micro-lens arrays but also aids researchers in optimizing process parameters, further enhancing product quality and consistency. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Digital storage

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