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An Experimental Research on Temperature Accuracy Algorithm in Fan Coil Thermostat 6

An Experimental Research on Temperature Accuracy Algorithm i...

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6th IEEE International Electrical and Energy Conference, CIEEC 2023

作者： Ari, Yunus Cücük, Ergün Karateke, Seda Institute of Graduate Studies Istanbul University - Cerrahpaşa Electric and Electronic Engineering Istanbul34320 Turkey Control and Automation Systems Industry and Trade Inc. Department of Research and Development Ges Teknik Air Conditioning Istanbul34852 Turkey Istanbul Topkapi University Faculty of Engineering Department of Computer Engineering Istanbul34087 Turkey

ISBN: (纸本)9798350346671

The efficient operation of HVAC&R systems are based on keeping indoor temperature and air quality at an optimum level without disturbing comfort. Starting from this point, in this experimental research, the factors affecting the measurement accuracy during the room temperature detection of a wall mount fan coil thermostat were examined. Among the external effects, the effect of the device components on the measurement was focused and the solution of the measurement deviations occurred in this extent was investigated. Based on the experiments, the algorithm that must be applied to reach the optimum temperature measurement of a room thermostat developed for Fan Coil systems was proposed. © 2023 IEEE.

关键词： Thermostats

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The Study of Materials for Electric Field Protection of Power Transformer Testing

The Study of Materials for Electric Field Protection of Powe...

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International Conference on engineering, Applied Sciences, and Technology (ICEAST)

作者： Peerawat Meesuk Prajak Bunpakdee Sirirat Sorn-In Electrical Engineering and Automation Control System Program Faculty of Engineering and Industrial Technology Bansomdejchaopraya Rajabhat Univrtsity Bangkok Thailand

This paper proposes the analysis of the material can be protected from transformer testing and presents a mathematical model of the power transformer. In this research, transformers were study in four protective materials, wood, rubber, glass and acrylic that are used in between the electric field measurement and the transformer. By simulating the test results of a transformer with a voltage of 230 kV. Computer-based simulation utilizing the finite element method (FEM) is exploited as a tool for visualizing electric fields distribution volume a power transformer. The simulation results showed that the material with the best protection against the electric field was wood insulation and the best installation location was a distance of 5 m from the transformer.

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Object Recognition and Grasp Detection in Complex Scenarios for Home Service Robot

Object Recognition and Grasp Detection in Complex Scenarios ...

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Chinese automation Congress (CAC)

作者： Shengjun Xu Liang Bai Huangwei Zhong Yuji Hu Xiangcai Sun Hongqiang Lyu School of Information and Control Engineering Xi'an University of Architecture and Technology Xi'an China School of Automation Science and Engineering Faculty of Electronic and Information Engineering Xi'an Jiaotong University Xi'an China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

With the development of artificial intelligence, home service robots have been widely applied in daily life. As one of the fundamental functions of service robots, object grasping helps improve the level of unmanned and intelligent household. However, traditional robots still face challenges in flexibility and accuracy in complex home environments. In this paper, an object recognition and grasp detection system in complex scenarios for home service robots is proposed. The system consists of four modules: image acquisition, human-machine interaction software, RGB-D image processing, and robot control. The image acquisition module captures RGB and depth images of the work area and sends them to the software. The RGB-D image processing module begins with object recognition to obtain object categories and bounding box with the help of YOLOv8. The target point cloud is produced by combining the target subimage and corresponding depth information, followed by depth completion and plane expansion. Then the processed point cloud is fed into a Graspnet pose estimation network to calculate the 6D grasping pose for service robot. And finally, the robot control module is invoked to carry out the corresponding target grasping action. To evaluate the performance, an experimental platform for home service robot is built to grasp various daily necessities. The results tell that the average accuracy for object recognition reaches up to 98.3%, the success rate for single-target grasping is 94.4%, and the success rate for multi-target grasping can achieve 80%.

关键词： Point cloud compression Human computer interaction Visualization Service robots Image processing Robot control Pose estimation Grasping Software Object recognition

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Adaptive Non-backstepping Output-Feedback control for Hydraulic Servo System Subject to Uncertain Dynamics 19th

Adaptive Non-backstepping Output-Feedback Control for Hydrau...

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19th Chinese Intelligent Systems Conference, CISC 2023

作者： Li, Chenghuan Ma, Jun Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming650500 China Yunnan International Joint Laboratory of Intelligent Control and Application of Advanced Equipment Kunming University of Science and Technology Kunming650500 China

ISBN: (纸本)9789819968855

In this paper, a novel non-backstepping adaptive control approach is presented for the hydraulic servo systems, aiming to mitigate the "explosion of complexity" issue and achieve matching of full-state known conditions. This approach enables one-step control through coordinate transformation. To address the control singularity problem, two radial basis function neural networks (RBFNNs) are utilized to estimate the separate sets of lumped unknown dynamics. Additionally, an adaptive controller is designed where the neural network weights are updated online using a weight error variable. This ensures that the estimated weights converge closely to their true values, allowing for accurate identification of the unknown dynamics. Theoretical analysis and numerical simulation are conducted verity the correctness and effectiveness of the proposed method. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Backstepping

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Reducing the energy consumption required for the disassembly process implemented on an assembly and disassembly line 24

Reducing the energy consumption required for the disassembly...

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24th International Conference on control Systems and Computer Science, CSCS 2023

作者： Marius-Adrian, Paun Elena, Dragomir Otilia Florin, Dragomir Stelian, Iliescu Sergiu Eugenia, Minca Octavian Gabriel, Duca Valentin, Gurgu Ion University 'Politehnica' of Bucharest Department of Automation and Industrial Informatics Bucharest Romania Valahia University of Targoviste Faculty of Electrical Engineering Electronics and Information Technology Targoviste Romania University 'Politehnica ' of Bucharest Faculty of Automatic Control and Computers Bucharest Romania University 'Dunarea de Jos ' of Galati Department of Automation and Electrical Engineering Galati Romania Institute of Multidisciplinary Research for Science and Technology Valahia University of Targoviste Targoviste Romania

ISBN: (纸本)9798350313390

This paper proposes a method to reduce the energy consumption of an industrial disassembly process implemented on a production line by using an energy-efficient secondary disassembly process. In the case of defective products, the flow directs the simple product with priority to be disassembled in workstation (WS) 7. Therefore, all defective products are redirected to WS7. The disassembly of all simple products in WS7 is problematic for two reasons: the power consumption of WS7 is high compared to the other workstations, additionally there is an increased possibility of bottlenecks in the production line due to the high disassembly time. The proposed solution to reduce the possibility of deadlock and reduce power consumption is to redirect the defective products to the flexible cell (FC). Handling robots located in neighboring stations will participate collaboratively in the disassembly process. The control structure ensures that the two robots 'meet' in the boundary plane of WS3 with WS4 and disassemble each component through collaborative tasks. Collaborative control of disassembly is thought of as a solution to the global 'fluidization' of production, removing the bottleneck, from the overall flow, but also as an ingenious solution to reduce energy consumption. © 2023 IEEE.

关键词： Assembly

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Multi-Objective Optimization of Individual Pitch control for Blade Fatigue Load Reductions for a 15 MW Wind Turbine

Multi-Objective Optimization of Individual Pitch Control for...

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European control Conference (ECC)

作者： Manuel Lara Francisco Vázquez Jan-Willem van Wingerden Sebastiaan Paul Mulders Juan Garrido Department of Electrical Engineering and Automation University of Cordoba Cordoba Spain Delft Center for Systems and Control Faculty of Mechanical Engineering Delft University of Technology Delft The Netherlands

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

In order to mitigate periodic blade loads in wind turbines, recent research has analyzed different Individual Pitch control (IPC) approaches, which typically use the multi-blade coordinate (MBC) transformation. Some of these studies show that the introduction of an additional tuning parameter in the MBC, namely the azimuth offset, helps to decouple the nonrotating axes in the MBC transformation and enhances the IPC performance. However, these improvements have been studied without considering the increased control effort performed by the pitch signal, which is the main negative side effect of the IPC. This work addresses this trade-off between pitch signal effort and blade fatigue reduction for IPC applied to a wind turbine operating in the full load region. Here, two IPC schemes, with and without additional azimuth offset, are designed and applied to a 15 MW monopile offshore wind turbine simulated with OpenFAST software. The optimal tuning of the IPC parameters is performed by means of a multi-objective optimization solved by genetic algorithms. The optimization procedure minimizes two objective functions related to pitch signal effort and blade fatigue load. The resulting Pareto fronts show a range of optimal solutions for each IPC scheme. The selected optimal solution for IPC with azimuth offset compared to the optimal solution for IPC without offset achieves improvements of more than 10% in blade load reduction maintaining similar pitch signal effort.

关键词： Azimuth Blades Simulation Fatigue Linear programming Software Wind turbines

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Liquid Filling Quality control System for Beverage Industry Using Image Processing (CNN)

Liquid Filling Quality Control System for Beverage Industry ...

引用

International Conference on control, automation and Systems ( ICCAS)

作者： B. Chatchapol W. Autanan W. Anan Department of Electrical Engineering Faculty of Electric Engineering Rajamangala University of Technology Lanna Chiang Mai Thailand Robotics Engineering and AI Faculty of Engineering Chiang Mai University Chiang Mai Thailand Department of Electronic Engineering and Automation Control System Faculty of Engineering Rajamangala University of Technology Lanna Chiang Mai Thailand

ISBN: (数字)9788993215380

ISBN: (纸本)9798331517939

The beverage industry has been leveraging automation to enhance production efficiency. An essential advancement involves the use of AI and image processing to ensure the high quality of products. Image processing systems employ sophisticated algorithms to meticulously inspect specific aspects of the production process (liquid level, lid sealing, text print). The CNN algorithm is primarily utilized to scrutinize water bottle images to verify their quality. Maintaining consistent production speed poses a challenge, underscoring the importance of examining the image processing system from various perspectives. The research proposed implementing a system that oversees liquid filling quality through an image processing algorithm, a camera module, and conveyor belt speed control to address. This system monitors liquid levels and bottle capping while the production line is operational. On average, the system achieves a 98.89 percent accuracy rate in detecting liquid levels and a 100 percent accuracy rate in sealing the lids. Furthermore, the conveyor speed control can adjust automatically to detect variations in product movement speed.

关键词： Liquids Image processing Velocity control Production Quality control Inspection Belts Filling Beverage industry Monitoring

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Predictive maintenance for electrical motors: Current approach and usage of artificial intelligence algorithms

Predictive maintenance for electrical motors: Current approa...

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International Conference on Methods and Models in automation and Robotics (MMAR)

作者： Tomasz Herzog Krzysztof Bartecki Faculty of Electrical Engineering Automatic Control and Computer Science Opole University of Technology Opole Poland Rockwell Automation Power Control Business Katowice Poland

ISBN: (数字)9798350362343

ISBN: (纸本)9798350362350

The article presents the current approach in artificial intelligence methods used in predictive maintenance for electrical motors. The study focuses on presenting data classification methods for fault detection and isolation using data from condition monitoring systems. We discuss the advantages and disadvantages of using machine learning methods like perceptron and Support Vector Machine (SVM) for fault classification problems. Our conclusion shows great interest in machine learning methods combined with condition monitoring systems. Our future research will focus on comparing SVM, perceptron networks, and other methods, such as K-nearest neighbors, with their possibility for implementation in embedded firmware systems.

关键词： Support vector machines Condition monitoring Accuracy Fault detection Artificial neural networks Machine learning Prediction algorithms

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Model and Software In-The-Loop Testing of Engine’s Speed and Load control Functionality

Model and Software In-The-Loop Testing of Engine’s Speed an...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Anam Tahir Pontus Prinsén Jari Böling Automation Engineering Faculty of Technology University of Turku Turku Finland Marine–R&D–Automation & Control Wärtsilä Finland Oy Vaasa Finland

ISBN: (数字)9798350394085

ISBN: (纸本)9798350394092

This paper focuses on the designing of the engine simulation models using the Wärtsilä 31 (W31) dual fuel (DF) first-order marine engine model, operating on torque and the performance output is the engine speed. X-in-the-loop simulations are proposed using the closed-loop system of proportional integral derivative control designs with respect to manual tuning and direct synthesis techniques to test the engine’s speed and load control functionality. The model-in-the-loop simulation evaluates the performance of the engine model i.e. the model-based testing whereas the software-in-the-loop simulation verifies the engine model in a simulation environment using the W31DF UNIC control system. The simulation results show the effectiveness of the proposed testing methods with respect to stability and settling performance.

关键词： Adaptation models Torque Manuals Mathematical models Stability analysis Engines Tuning

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State of Health Assessment of Lithium Batteries Based on Fusion Model and Feature Extraction

State of Health Assessment of Lithium Batteries Based on Fus...

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Cognitive Computing and Complex Data (ICCD), International Conference on the

作者： Qiwei Zhang Yulong Li Peipei Cai Rongkai Zhao Tian Peng Smart Energy Division Huadong Engineering Corporation Limited Hangzhou China Automation Engineering Room Hangzhou Huachen Power Control Engineering Corporation Limited Hangzhou China Beidou Innovation Studio Hangzhou Huachen Power Control Engineering Corporation Limited Hangzhou China Faculty of Automation Huaiyin Institute of Technology Huai’an China

ISBN: (数字)9798350352894

ISBN: (纸本)9798350352900

Lithium battery State of Health (SOH) is crucial for stable operation and reducing failure risks. This paper identifies three key health features—IC curve peak value, constant voltage drop discharge time, and IC curve peak voltage—through Pearson correlation analysis. A multi-model fusion approach is utilized to construct and train three individual models: Temporal Convolutional Network (TCN), Extreme Learning Machine (ELM), and Long Short-Term Memory Network (LSTM). Additionally, three pairwise fusion models—TCN-LSTM, TCN-ELM, and ELM-LSTM—and a comprehensive TCN-LSTM-ELM model are developed. Validation using NASA dataset shows that TCN-LSTM-ELM fusion model achieves the highest prediction accuracy.

关键词： Training Accuracy Computational modeling Voltage Predictive models Lithium batteries Data models Integrated circuit modeling Optimization Long short term memory

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