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Intelligent process control with Uninformative Data 28

Intelligent Process Control with Uninformative Data

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28th International conference on automation and Computing, ICAC 2023

作者： Chang, Zeyu Li, Ao-Jin Li, Yun University of Electronic Science and Technology of China Chengdu611731 China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Shenzhen518110 China

ISBN: (纸本)9798350335859

Intelligence control leverages the power of artificial intelligence (AI). Traditional simulation techniques limited by their dependence on accurate and complete data. To address the issues of a lack of such data in practice, this paper proposes an intelligent system engineering approach to modelling and control. In particular, we introduce the use of a set of local transfer functions to brace a nonlinear system for well-fitted models. Additionally, a networked PID controller is designed using the variable parameter transfer function obtained to adapt to changing operating conditions. Simulations in Simulink are conducted for an AI-based air conditioning control system to meet the required precision. The AI-based approach is seen to be able to model air conditioning temperature control systems accurately, and offers potential to improve control accuracy in real-world applications. © 2023 IEEE.

关键词： Transfer functions

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Research progress on dynamic wireless charging systems for electric vehicles 5

Research progress on dynamic wireless charging systems for e...

引用

5th IEEE International conference on advanced Electrical and Energy Systems, AEES 2024

作者： Xiang, You Li, Ruoqiong Lanzhou Jiaotong University School of Automation and Electrical Engineering Lanzhou China

ISBN: (纸本)9798331517724

The proposal of dynamic wireless charging (DWC) provides a new idea for the development of new energy vehicles, that is, charging while driving the car to reduce unnecessary waiting time, because in the process of electric vehicle driving, the mutual inductance coefficient between the coils will inevitably change greatly, resulting in the system in an unhealthy working state for a long time and the output power can't be stabilized within the rated range. In recent years, a large number of research methods have been proposed to address the problem of power fluctuations. These methods can be broken down into three main areas: changing the coil structure, optimizing compensation, and applying a controller to stabilize the output power. In this paper, the mutual inductance and voltage fluctuation problems of dynamic wireless power transfer (DWPT) systems are analyzed, and then the current research progress on magnetic coil structure, compensation network topology and control scheme is expounded, and finally the research progress is summarized and prospected. © 2024 IEEE.

关键词： Inductive power transmission

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A Supervisory control System for a Mechatronics Assembly Station 15

A Supervisory Control System for a Mechatronics Assembly Sta...

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15th International conference on Computer and automation Engineering, ICCAE 2023

作者： Valaboju, Charan Amuda, Manikanth Sri Charan, N.C.H. Gopireddy, Sushvan Reddy Hazaveh, Paniz K. Rawashdeh, Nathir A. Michigan Technological University Department of Applied Computing Houghton United States

ISBN: (纸本)9798350396225

In this work, we design and create a Human Machine Interface (HMI) for a mechatronics assembly station controlled by a programmable logic controller. Components are pneumatically assembled of different parts which include a valve body, a spool, a screw, and a knob-spring. A PLC uses the data gathered from various sensors to control the output devices. This PLC is interfaced with a computer that acts as a human-machine interface. The HMI interface is designed in such a way that the information from the assembly station can be monitored and controlled in real-time. The process can be performed manually or automatically by changing the state of the selector switch on the HMI. A different message is displayed at each step of the assembly process to identify the progress. Different alarms are also displayed to alert the operator of possible complications during the assembly process. This project was performed in the advanced PLC Laboratory at Michigan Technological University using an Allen Bradley CompactLogix L32E PLC. The software used includes RSLogix 5000 for programming the PLCs, and FactoryTalk View Studio for developing the SCADA HMI system. © 2023 IEEE.

关键词： Assembly

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control system for an innovative electrostatic enameling process of water tanks' interiors 26

Control system for an innovative electrostatic enameling pro...

引用

26th International conference on Methods and Models in automation and Robotics

作者： Jurkiewicz, Michal Janicki, Robert Hunek, Wojciech P. Bartecki, Krzysztof Majewski, Pawel Elektromet Co Goluszowice 53 PL-48100 Glubczyce Poland Opole Univ Technol Fac Elect Engn Automat Control & Comp Sci Proszkowska 76 PL-45758 Opole Poland

ISBN: (数字)9781665468589

ISBN: (纸本)9781665468596;9781665468589

In this paper, a PLC-oriented control system dedicated to the real-life technological line of the enameling process is presented. Following the recently built industrial device employing the electrostatic method, the complex control layer is proposed and its advantages are deeply discussed. In addition, the entire safety mechanism is suggested in order to maintain a set of correct operations. The next step of the advanced studies will be focused on the different practical tests finally leading to the process and product innovation observed in the Elektromet Company.

关键词： control system enameling process practical implementation innovative technological line

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A Novel Data-Driven control Method for a Class Magnetic Levitation Systems with Time Delay and Noise Interference 13

A Novel Data-Driven Control Method for a Class Magnetic Levi...

引用

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

作者： Li, Zhen Jin, Shangtai Yin, Chenkun Institute of Advanced Control Systems Beijing Jiaotong University Beijing100044 China

ISBN: (纸本)9798350361674

In response to the challenges posed by nonlinear large time delays and external noise interference in the control process of magnetic levitation systems, this paper proposes a model-free adaptive control algorithm based on time delay compensation and filtering (DCF-MFAC) to attain magnetic levitation systems control. Firstly, an adaptive control algorithm is designed by introducing a dynamic linearization technique with time-varying parameters based on pseudo-gradient (PG), which linearizes the unknown nonlinear system and facilitates controller design. Subsequently, the algorithm utilizes Smith predictor and second-order integrator-based estimation to estimate the output differentials of the controlled object, compensating for system time delays. Additionally, the algorithm introduces a filter to attenuate or suppress noise in the system, ensuring smoother control signals. The effectiveness of the algorithm in magnetic levitation system control is verified through joint simulation using HUMUSOFT real-time toolbox and Matlab. © 2024 IEEE.

关键词： Magnetic levitation

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Data-Driven Output Containment control of Heterogeneous Multiagent Systems: A Hierarchical Scheme 63

Data-Driven Output Containment Control of Heterogeneous Mult...

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63rd IEEE conference on Decision and control, CDC 2024

作者： Sader, Malika Li, Wenyu Yin, Yanhui Li, Zhongmei Huang, Dexian Liu, Zhongxin He, Xiao Shang, Chao Tsinghua University Department of Automation Beijing100084 China Nankai University Coll. of Artif. Intell. Tianjin Key Lab. of Interventional Brain-Comp. Interface and Intelligent Rehab. Tianjin300350 China North-East Electric Power University School of Automation Engineering Jilin132000 China East China University of Science and Technology Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education Shanghai200237 China Tsinghua University Department of Automation Beijing National Research Center for Information Science and Technology Beijing100084 China

ISBN: (纸本)9798350316339

In this article, we propose a data-driven solution to the output containment control problem of multiagent systems characterized by heterogeneous and unknown dynamics. The proposed data-driven scheme is hierarchical, which includes a network layer and a physical layer, bypassing the traditional modeling exercise and eliminating the need for explicit state-space models. In the network layer, a fully distributed observer without knowing the dynamics of leaders is designed to generate a containment trajectory. A data-driven approach based on data sampled from an auxiliary system is developed to overcome the dependence on the explicit state-space models for design of control gains. This paves the way for deriving a datadriven solution to the regulator equation, which is derived by employing the data informativity condition and relevant data in the physical layer. The results demonstrate that the closedloop system is asymptotically stable, and the regulated output containment converges to zero. Compared to generic modelbased hierarchical schemes, the assumptions that the system matrices are completely known and homogeneous on system dynamics can be relaxed. © 2024 IEEE.

关键词： Hierarchical systems

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Level control of Chemical Coupling Tank Based on Reinforcement Learning Method

Level Control of Chemical Coupling Tank Based on Reinforceme...

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Chinese Intelligent automation conference, CIAC 2023

作者： Li, Yuheng Li, Quan Liu, Fei Key Laboratory of Advanced Control of Light Industry Process of Ministry of Education Jiangnan University Jiangsu Wuxi214122 China

ISBN: (纸本)9789819961863

Most industrial processes in actual production have complex mechanism knowledge and nonlinear characteristics. Therefore, it is difficult to establish accurate mathematical models for these processes. Data-driven methods do not rely on process models, and only need process data to give process control strategies. Model-free reinforcement learning (RL) is one such method for obtaining control strategies based on process data. This paper proposes a self-adjusting exploration probability Deep Q-Network (DQN) method. The method is used to get the optimal control strategy of the chemical coupling tank with nonlinear interaction. The simulation results show that the DQN method can make the liquid level of the coupling tank quickly reach the target, and has a certain inhibitory effect on the disturbance. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2023.

关键词： Reinforcement learning

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Automated Visual Inspection System of Gear Surface Defects Detection Using Faster RCNN

Automated Visual Inspection System of Gear Surface Defects D...

引用

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

作者： Indasyah, Enny Ibrahim, Febrian Syahbana, Dwiky Fajri Istiqomah, Fivitria Institut Teknologi Sepuluh Nopember Electrical Automation Engineering Surabaya Indonesia Kyushu Institute of Technology Life Science and Systems Engineering Kitakyushu Japan Dokuz Elylul University Electrical Electrical and Electronic Engineering Izmir Turkey

ISBN: (纸本)9798350309225

A company that produces gears is capable of producing 50 gears per hour every day. The gears will be sorted by the QC (Quality control) division by taking faulty gears based on the surface and rigidity shape. In one production process, it produces 3-6 faulty gears. The QC process has shortcomings such as the sharpness of vision, concentration duration and accuracy of each person varies, so faulty gears can escape the QC stage, which will become a problem if it reaches the distributor's hands as it will affect the level of trust. Therefore, a visual inspection system was created that contains an algorithm that detects image defects using the Faster RCNN deep learning method. The gear detection process in this project uses the Faster RCNN method, which has a higher accuracy than the Frame Per Second speed or detection speed. This method aims to achieve a higher accuracy. The average accuracy produced in the condition of 1 gear and 1 type of defect in 1 frame and the conveyor is not moving is 86%, but the value decreases when detecting 2 classes of defects in one frame and the conveyor is not moving, the average accuracy produced is 76%, and also when on the conveyor that is moving at speeds of 2-8.3 RPM and 1 gear in 1 frame, the average accuracy decreases to 83.32%. © 2023 IEEE.

关键词： Inspection

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control-aware Learning of Koopman Embedding Models

Control-aware Learning of Koopman Embedding Models

引用

American control conference (ACC)

作者： Uchida, Daisuke Duraisamy, Karthik Univ Michigan Dept Aerosp Engn Ann Arbor MI 48109 USA

ISBN: (纸本)9798350328066

A learning method is proposed for Koopman operator-based models with the goal of improving closed-loop control behavior. A neural network-based approach is used to discover a space of observables in which nonlinear dynamics is linearly embedded. While accurate state predictions can be expected with the use of such complex state-to-observable maps, undesirable side-effects may be introduced when the model is deployed in a closed-loop environment. This is because of modeling or residual error in the linear embedding process, which can manifest itself in a different manner compared to the state prediction. To this end, a technique is proposed to refine the originally trained model with the goal of improving the closed-loop behavior of the model while retaining the state-prediction accuracy obtained in the initial learning. Finally, a simple data sampling strategy is proposed to use inputs deterministically sampled from continuous functions, leading to additional improvements in the controller performance for nonlinear dynamical systems. Several numerical examples are provided to show the efficacy of the proposed method.

关键词： Nonlinear dynamical systems

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Design of an Intelligent Monitoring System for Operating States in a Coal Mine Drilling process 41

Design of an Intelligent Monitoring System for Operating Sta...

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第41届中国控制会议

作者： Xiao Yang Luefeng Chen Sheng Du Chengda Lu Wangnian Li Min Wu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Xi'an Research Institute Co.Ltd. China Coal Technology and Engineering Group

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

With the development trend of intelligent drilling in coal mines,an intelligent monitoring system for operating states in a drilling process is developed to solve the problems of incomplete display of drilling parameters and ineffective *** system realizes the remote monitoring of drilling *** mainly adopts the Fuzzy C-Means clustering algorithm to cluster the drilling *** it combines expert empirical knowledge to classify coal seams into soft,hard and alternating soft and hard coal *** boundary values are calculated according to the boundary ***,three drilling operating states,rated,conservative and over-excited,are judged to provide guidance for the drilling process control.

关键词： Drilling process Intelligent monitoring Fuzzy C-Means clustering Operating states

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