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

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Regularization based reweighted estimation algorithm for nonlinear systems in presence of outliers 43

Regularization based reweighted estimation algorithm for non...

引用

43rd Chinese control conference, CCC 2024

作者： Yawen, Mao Chen, Xu Jiangnan University School of science Wuxi214122 China Jiangnan University Key Laboratory of Advanced Process Control for Light Industry Ministry of Education School of Internet of Things Engineering Wuxi214122 China

ISBN: (纸本)9789887581581

Outliers usually occur during data collection process and can lead to poor system identification performance. This paper considers the parameter estimation algorithms for Hammerstein systems whose output measurements are contaminated with additive outliers. By incorporating a lasso-type penalty on the outlier vector, a regularization based least squares identification algorithm that can interactively estimate the system parameters and outliers is proposed based on the auxiliary model identification idea. To further reduce the impact of outliers on the identification effect, each observation is assigned an individual weight, which decreases as the number of iterations increases once the corresponding data is determined to be an outlier. Finally, the outliers can be excluded from the contaminated data without any prior knowledge and the estimation bias is reduced. A numerical example is given to confirm the effectiveness of the proposed algorithm. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： Statistics

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Research on network attack monitoring technology of power industry control system 6

Research on network attack monitoring technology of power in...

引用

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

作者： Wang, Bin Liu, Lu Chen, Tao Huang, Hua Liu, Peng Liu, Bin Li, Xuan State Grid Xinjiang Electtic Power Research Institute Urumqi China State Grid Urumqi Electric Power Supply Company Bazhou China State Grid Xinjiang Electric Power Company Urumqi China State Grid Shandong Electric Power Company Jinan China State Grid Bazhou Electric Power Supply Company Bazhou China State Grid Asku Electric Power Supply Company Bazhou China Internet Information Office of Xinjiang Uygur Autonomous Region Urumqi China

ISBN: (纸本)9798350316520

With the continuous development of smart grid construction, the degree of automation of power system has increased rapidly, and the number of power grid sensors, information network scale and decision-making unit has increased significantly. The cyber security of power industry control systems is facing serious challenges. This paper deeply studies the attack monitoring data acquisition and preprocessing technology of the real-time interaction process of the electric power industrial control system, and realizes the high-speed collection of real-time data of the electric power industrial control system and the unified preprocessing of data of different structures, dimensions and formats. Provide a data basis for follow-up monitoring and correlation analysis. Research on the attack correlation analysis technology of the electric power industrial control system, correlate the massive abnormal events generated in the real-time interaction process of the electric power industrial control system, and automatically generate the association rules to achieve accurate identification of network attacks in specific attack scenarios. © 2024 IEEE.

关键词： Decision making

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CoboShell Robot for Automatic Scallop Shelling process: Concepts and Applications

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

引用

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

作者： Lakhal, Othman Belarouci, Abdelkader Yang, Xinrui Chettibi, Taha Merzouki, Rochdi Univ Lille CNRS CRIStAL UMR 9189 Ave Paul Langevin F-59655 Villeneuve Dascq France

ISBN: (纸本)9781665476331

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.

关键词： Automatic scallop shelling Collaborative robot Artificial intelligence Force-compliance control

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A Combined Adaptive Zebra Optimization and Perturb & Observe MPPT Algorithm in PV System under Partial Shading Conditions 6

A Combined Adaptive Zebra Optimization and Perturb & Observe...

引用

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

作者： Zhao, Haoheng Xie, Sichao Zhang, Chengyang Yan, Chenxu Liu, Guangyu Hangzhou Dianzi University Zhejiang Provincial Key Laboratory of IoT and Information Fusion Technology School of Automation Zhejiang Hangzhou China

ISBN: (纸本)9798350316520

Photovoltaic (PV) system faces challenges like partial shading, significantly affecting power output and efficiency. Developing an advanced maximum power point tracking (MPPT) controller is vital for enhancing the performance of PV system. Although extensive research has been conducted on MPPT control under partial shading conditions, focusing on convergence speed and tracking accuracy, the studies on oscillations during the convergence process and the tracking response of the maximum power point (MPP) in changing environments are still insufficient. In this study, we have proposed the adaptive zebra optimization algorithm (AZOA) and combined it with the perturb & observe (P&O) method to specifically address the aforementioned issues of oscillations and tracking response. The newly proposed algorithm, AZOA-P&O, introducing adaptive coefficients and integrating it with P&O, enhances the performance of traditional zebra optimization algorithm (ZOA). Ensuring accurate and rapid convergence to the MPP, AZOA-P&O significantly reduces oscillations during the convergence process and markedly enhances dynamic response to changing environments. The proposed work is carried out in MAT-LAB/Simulink platform, which is compared with perturb & observe (P&O), tasmanian devil optimization (TDO), driving training-based optimization (DTBO) techniques in terms of convergence speed, response speed, and the oscillations during the convergence process. The results significantly demonstrate the superiority of proposed MPPT technology over other MPPT techniques. © 2024 IEEE.

关键词： Optimization

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Optimizing process Performance with IIoT and advanced Intelligent controllers

Optimizing Process Performance with IIoT and Advanced Intell...

引用

2023 International conference on Recent Advances in Electrical, Electronics and Digital Healthcare Technologies, REEDCON 2023

作者： Allahloh, Ali S. Sarfraz, Mohammad Iqbal, Sana Al Maathidi, Muhammad Mazin Aligarh Muslim University Zhcet Department of Electrical Engineering India Bahrain University Computer Science Department Bahrain

ISBN: (纸本)9781665493826

Presently, the field of industrial process control and automation is facing significant challenges, with 40% of controllers operating in manual mode and poor tuning effects present in over 35% of them. Additionally, approximately 30% of controllers experience oscillating effects, while 35% of actuators are plagued by mechanical issues due to inadequate preventive maintenance. The full potential of industrial process control and automation can now be achieved by integrating the Internet of Things (IIoT) and advanced intelligent controllers. The advancements in computational power have opened the door for a radical transformation of how we manage industrial processes. Our research paper delves into the crucial role that IIoT technology plays in addressing the persistent challenges faced in industrial process control. These challenges include poor tuning, oscillating effects, and mechanical issues from a lack of maintenance. By integrating the Kepware OPC server and MATLAB toolboxes, our innovative IIoT platform combines the power of visual basic programming with sophisticated algorithms to model the process, identify optimal parameters, and monitor the system in real time. The outcome of this innovative approach is nothing short of extraordinary. Our platform delivers a simulated or experimental process that is connected, optimized, and completely controlled. The result is a more accurate and efficient process, with improved performance and reduced downtime. The use of advanced intelligent controllers and IIoT technology can revolutionize the field of industrial process control and automation, unlocking new possibilities and delivering unmatched performance. © 2023 IEEE.

关键词： Genetic algorithms

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Prescribed-time distributed localization of multi-agent systems based on local bearing information 43

Prescribed-time distributed localization of multi-agent syst...

引用

43rd Chinese control conference, CCC 2024

作者： Lv, Yunkai Yan, Huaicheng Rao, Kai Yang, Penghui East China University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education Shanghai200237 China

ISBN: (纸本)9789887581581

This work considers the localizability of multi-agent systems based on local bearing measurement. A novel prescribed-time orientation estimation algorithm is first proposed to guarantee that the local reference frame of the follower agent is aligned with the global one. The orientation estimation algorithm is then applied to the problem of position estimation, and a prescribed-time distributed localization estimation algorithm is deigned. The global convergence is derived based on the cascade system. Some simulation results are provided to prove the effectiveness of the proposed estimation methods. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： Local bearing information orientation estimation prescribed-time

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A novel Artificial Vulture Optimization Algorithm and its application on the aluminum smelting furnace temperature prediction system

A novel Artificial Vulture Optimization Algorithm and its ap...

引用

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

作者： Dai, Jiayang Liu, Hangbin Luo, Yason Ling, Peirun Shi, Haofan Guangxi University Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment School of Electrical Engineering Nanning530004 China

ISBN: (纸本)9798331541668

In the aluminum smelting process, real-time monitoring of furnace temperature using thermal sensors is costly and inconvenient due to high furnace temperature. To solve this problem, a hybrid model for predicting furnace temperature in an aluminum smelting furnace based on the Matérn kernel function is proposed in this paper. Firstly, the furnace temperature mechanism model is established based on the law of energy conservation and the mechanism characteristics of the aluminum smelting process. Since unknown variables are used in the process of establishing the mechanistic model, a hybrid model for furnace temperature prediction is obtained by fitting the unknown variables using the Matérn kernel function. In addition, the furnace temperature prediction system based on the hybrid prediction model is developed to enhance the generalization capability of the hybrid prediction model. The parameter identification issue within the furnace temperature prediction system can be framed as an optimization problem. For this optimization problem, an improved artificial vulture algorithm (OMAVOA) is proposed. Experimental results indicate that OMAVOA outperforms other optimization algorithms, and the furnace temperature prediction system accurately predicts furnace temperature. © 2024 IEEE.

关键词： Prediction models

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Design and Development of Pelletizer automation using Load control 5

Design and Development of Pelletizer Automation using Load C...

引用

5th International conference on Smart Electronics and Communication, ICOSEC 2024

作者： Prabhu, K. Vijayachitra, S. Mukila, D. Mukesh, L.B. Nithesraj, G. Kongu Engineering College Department of Electronics and Instrumentation Engineering Perundurai638060 India

ISBN: (纸本)9798331504403

This research study aims to design and implement an advanced automation system for pelletizers, integrating load control technology to optimize pellet production processes. Pelletizers are widely used in industries such as agriculture, food processing, and pharmaceuticals for converting raw materials into uniform pellets. However, traditional pelletizer systems often lack precise control over load conditions, leading to inefficiencies, inconsistencies, and potential equipment damage. Incorporation of load sensors into the pelletizer system to monitor the load exerted on the pelletizing blades or rollers in real-time. Load sensors will provide accurate feedback on the compression force applied during the pelletization process, enabling precise control and adjustment of pelletizer parameters. Implementation of an intuitive current rating and load to facilitate the controlled automation of pelletizing motors. A controller will provide operators with control options, real-time monitoring of load conditions, status updates, and alarm notifications, ensuring ease of operation and troubleshooting. Development of intelligent control logic and algorithms to optimize pelletization parameters dynamically based on load feedback and quality requirements. The proposed system will be capable of adjusting process parameters in real-time to accommodate variations in raw material properties and production conditions. Incorporation of data logging capabilities to record key process parameters, load profiles, and production metrics over time. Data analysis tools will enable performance evaluation, process optimization, and predictive maintenance scheduling. the paper aims to demonstrate the feasibility and advantages of integrating load control technology into pelletizer systems, leading to enhanced efficiency, precision, and safety in pellet production processes. © 2024 IEEE.

关键词： Food processing

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Comparative Analysis and Evaluation of Fractional Order controllers for Systems with Variable Delay 26

Comparative Analysis and Evaluation of Fractional Order Cont...

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

作者： Vega, Sebastian Vasquez, Mateo Herrera, Marco Puyol, Dylan Benitez, Diego Camacho, Oscar Universidad San Francisco de Quito Usfq Colegio de Ciencias e Ingenierías Quito Ecuador

ISBN: (纸本)9798350378115

This paper compares the performance of traditional PID, fractional-order PID (FO-PID), and Tilt-Integral-Derivative (TID) controllers in a chemical process with variable delay. The results show that the FO-PID controller generally performs best in minimizing cumulative error, maintaining low error values consistently, and handling disturbances and noise. © 2024 IEEE.

关键词： Three term control systems

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A Multi-objective Constrained Optimization Method for Manufacturing process Parameters of Electrolytic Copper Foil 7

A Multi-objective Constrained Optimization Method for Manufa...

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

作者： Zhou, Zhi Jiang, Hongquan Huang, Kaicheng Cheng, Huyue Miao, Dong Yang, Xiangkui Zhu, Yigang Xi'an Jiaotong University State Key Laboratory for Manufacturing Systems Engineering Xi'an China Xi'an Taijin Xinneng Technology Co. Ltd. Xi'an China Shandong Jinbao Electronics Co. Ltd. Zhaoyuan China

ISBN: (纸本)9798350339161

The manufacturing of electrolytic copper foil products has strong coupling and multiple influencing factors. Its process parameters are influenced by both equipment status and product quality. However, existing process optimization methods only consider product quality requirements. To overcome these problems, a multi-objective constrained optimization method for manufacturing process parameters of electrolytic copper foil is proposed. First, a non-linear mapping model based on neural networks is established between process-equipment and product quality parameters;then, based on the established mapping model, equipment status information, and product quality requirements, a multi-objective constraints function is constructed, and a genetic algorithm is used to optimize process parameters. Finally, the actual production data of the enterprise proves that the proposed method can effectively improve the product quality and production efficiency of electrolytic copper foil. © 2024 IEEE.

关键词： Genetic algorithms

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