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Data Driven control and Learning Systems (DDCLS)

作者： Mingwei Jia Danya Xu Tao Yang Yuan Yao Yi Liu Institute of Process Equipment and Control Engineering Zhejiang University of Technology Hangzhou State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang Department of Chemical Engineering National Tsing Hua University Taiwan

The development of an accurate soft sensor modeling method in the process industry remains a great challenge because the coupling relationship between variables is always intricate and difficult to model. In this work, a dynamic graph learning (DGL) soft sensor is proposed to alleviate this problem. The proposed model realizes the ability of the soft sensor to perceive the coupling relationship in real time by automatically learning the dynamic graph. Then, a causal convolutional mechanism and a multi-hop graph attention mechanism are used to systematically construct the dependencies of variables in the spatial-temporal dimension and model their variation patterns effectively. Finally, the proposed method is tested on the penicillin fermentation process and shown to be feasible and effective. The results showed that the change of the dynamic graph in the spatial-temporal dimension was in line with the process mechanism.

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Design of Supervisory Model Predictive control for Building HVAC System Subject to Time-Varying Operating Points

Design of Supervisory Model Predictive Control for Building ...

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International Conference on control, automation and Systems ( ICCAS)

作者： Sitthiphat Promchaiwattana David Banjerdpongchai Department of Electrical Engineering Faculty of Engineering Intelligent Control Automation of Process Systems Research Unit Chulalongkorn University 254 Phayathai Road Pathumwan Bangkok Thailand

This paper presents the design of supervisory model predictive control for HVAC systems with consideration of peak demand shaving and thermal comfort. In this work, we analyze the operating points with the thermal comfort requirement. Afterwards, we linearize the nonlinear dynamic model to a linear time-varying model. In particular, we specify that the operating point of the open-loop HVAC system satisfies the thermal comfort condition. This makes the predicted mean vote (PMV) equal to zero or nearly to zero. Subsequently, we calculate the zone temperature, the zone humidity ratio, and the volumetric flow rate. When considering the time-varying disturbance profiles, it appears that the operating points are time-varying. We observe that the coefficient of performance (COP) and the operating points are time-varying which lead to time-varying model. Moreover, we design supervisory control (SC) and model predictive control (MPC) for linear time-varying model. In the SC design, we aim to find the optimal reference zone temperature which is used as the reference signal for MPC. In the MPC design, the objectives are twofold. First, the zone temperature tracks the reference signal. Second, both electrical energy cost and deviation of desired thermal comfort are minimized. The computer simulation shows that MPC of time-varying HVAC system yields the best reference tracking. In addition, it reduces total electrical energy cost the most. We conclude that the optimal temperature reference can be effectively applied to the building HVAC systems while the occupants feel comfortable and the total electrical energy cost is the lowest.

关键词： HVAC Costs Input variables Buildings Predictive models Supervisory control Thermal analysis

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Real-time Design and Implementation of Nonlinear Speed controller for Permanent Magnet DC Motor Based on PSO Tuner

Real-time Design and Implementation of Nonlinear Speed Contr...

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2021 IEEE International Conference on Automatic control and Intelligent Systems, I2CACIS 2021

作者： Mohammed, Ali Kadhim Al-Dujaili, Ayad Qasim Al-Shamaa, Nabil Kadhim Middle Technical University Technical College of Electrical Engineering Hilla Electrical Power Engineering Techniques Department Iraq Middle Technical University Technical College of Electrical Engineering Baghdad Electrical Engineering Department Iraq Middle Technical University Technical College of Electrical Engineering Baghdad Control and Automation Techniques Engineering Department Iraq

ISBN: (纸本)9781665403436

Speed control of PMDC motors finds applications in various industries. For certain structures, the controller of Proportional, Integral and Derivative (PID) is typically the first choice because of its ease of execution and fast tuning. So, all conventional techniques and optimization stochastic for PID controller tuning provide preliminary feasible parameters for, and. This paper uses traditional PID and nonlinear PID to control the speed of the PMDC motor, which is tuned by Particle Swarm Optimization (PSO). The methodology is demonstrated by performing simulations using the MATLAB tool. The simulation results exhibit that the role of the nonlinear PID based scheme is more robust than the traditional PID controller, as well as the speed, tracked the desired reference rabidly. © 2021 IEEE.

关键词： controllers

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Non-Monotonic Lyapunov-Krasovskii Functional Approach to Stability Analysis and Stabilization of Discrete Time-Delay Systems

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IEEE/CAA Journal of Automatica Sinica 2020年第3期7卷 752-763页

作者： Younes Solgi Alireza Fatehi Ala Shariati Advanced Process Automation and Control Research Group Industrial Control Center of ExcellenceFaculty of Electrical EngineeringK.N.Toosi University of TechnologyTehran 16317-14191Iran IEEE

In this paper, a novel non-monotonic Lyapunov-Krasovskii functional approach is proposed to deal with the stability analysis and stabilization problem of linear discrete time-delay systems. This technique is utilized to relax the monotonic requirement of the Lyapunov-Krasovskii theorem. In this regard, the Lyapunov-Krasovskii functional is allowed to increase in a few steps, while being forced to be overall decreasing. As a result, it relays on a larger class of Lyapunov-Krasovskii functionals to provide stability of a state-delay system. To this end, using the non-monotonic Lyapunov-Krasovskii theorem, new sufficient conditions are derived regarding linear matrix inequalities(LMIs)to study the global asymptotic stability of state-delay ***, new stabilization conditions are also proposed for time-delay systems in this article. Both simulation and experimental results on a p H neutralizing process are provided to demonstrate the efficacy of the proposed method.

关键词： Linear matrix inequality(LMI) non-monotonic Lyapunov-Krasovskii functional(NMLKF) pH neutralization plant stabilization state-delay system time-delay system

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Design and Application of a One-Stop Mobile Application Sharing Platform for Steel Enterprises 42

Design and Application of a One-Stop Mobile Application Shar...

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42nd Chinese control Conference, CCC 2023

作者： Chen, Xinzhe Chen, Luefeng Hu, Jie Yang, Qingfeng Wu, Min Pedrycz, Witold School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6R 2G7 Canada

ISBN: (纸本)9789887581543

As China's steel production accounts for an increasing share of the world's output, the intelligent transformation of the steel industry is becoming increasingly urgent. To address issues such as low levels of mobile informationization in steel enterprises and the lack of an industry-specific mobile application platform, it is of great significance to establish a shared mobile application platform for the steel industry. In this paper, the requirements of the platform were analyzed, and the platform's functions were designed. The software design of the platform was then carried out, and the entire mobile application sharing platform was developed, effectively improving the production management efficiency of steel enterprises. The results indicate that the platform can effectively meet the needs of steel enterprises and has significant engineering significance. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Informatization

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Performance Enhancement of The PV Array Based on Hybrid Configuration Under Variable Irradiance Conditions

Performance Enhancement of The PV Array Based on Hybrid Conf...

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Vocational Education and electrical engineering, International Conference on

作者： Salim A. Ali Ahmed R. Ajel Safaa A. Ghadhban Department of Electrical Power Engineering Techniques Electrical Engineering Technical College Middle Technical University Baghdad Iraq Department of Medical Devices Techniques Engineering Electrical Engineering Technical College Middle Technical University Baghdad Iraq Department of Control & Automation Techniques Engineering Electrical Engineering Technical College Middle Technical University Baghdad Iraq

The study investigates the challenges posed by" partial shading conditions" (PSCs) on a performance and efficiency of solar photovoltaic (PV) systems. The primary goal is to find the best photovoltaic array setup to optimize power output while reducing efficiency losses caused by mismatching. The researchers evaluate various PV configurations such as Series (S), Series-Parallel (SP), Total Cross Tied (TCT), Bridge Linked (BL), Honey Comb (HC), and a hybrid of TCT and BL called TCT-BL, focusing on a 4x4 array layout. Six different shading patterns are examined, including diagonal, "short and narrow", "short and wide", "long and narrow", "long and wide", and random. Based on simulations using Matlab/Simulink and a 130W PV module model, the study suggests that the TCT-BL configuration offers superior power generation, efficiency, and reduced mismatching loss compared to other configurations under most PSCs examined.

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Efficiency Enhancement of The PV System Through Reconfiguration Strategies Under Non-Uniform Irradiance Conditions

Efficiency Enhancement of The PV System Through Reconfigurat...

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International Conference on electrical engineering, Computer Science and Informatics (EECSI)

作者： Salim Ahmed Ali Ahmed R. Ajel Safaa A. Ghadhban Department of Electrical Power Engineering Techniques Electrical Engineering Technical College Middle Technical University Baghdad Iraq Department of Medical Devices Techniques Engineering Electrical Engineering Technical College Middle Technical University Baghdad Iraq Department of Control & Automation Techniques Engineering Electrical Engineering Technical College Middle Technical University Baghdad Iraq

Solar photovoltaic (PV) arrays experience a significant surge in power losses due to Partially Shaded Conditions (PSCs). The presence of clouds, shadows from tall structures, trees, chimneys, and bird droppings can lead to these PSCs. When PV modules are shaded, they go into reverse bias, causing small hotspots to form and increase the system's overall temperature. To mitigate this issue, bypass diodes can be connected antiparallel to the PV modules, although this leads to multiple peaks in the I-V and P-V characteristics. Along with the challenges presented by hotspots, mismatch losses between different modules further, reduce the electricity output of a PV array. The research in focus is designed to evaluate, model, simulate, and analyze the effectiveness of several 4x4 PV array configurations operating under diverse PSCs. Topologies such as series-parallel, bridge-link, honeycomb, and total cross-tied (TCT) are investigated, along with different partial shading patterns like corners, centers, ends, L-shapes, frames, random, and diagonals. These investigations are grounded on the technical specifications of a 130-watt PV module.

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Texture Analysis of Breast US Images Using Morphological Transforms, Hausdorff Dimension and Bagging Ensemble Method

Texture Analysis of Breast US Images Using Morphological Tra...

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Mediterranean Conference on control and automation (MED)

作者： Gigi Tăbăcaru Simona Moldovanu Marian Barbu Department of Automatic Control and Electrical Engineering Faculty of Automation Computers Electrical Engineering and Electronics “Dunarea de Jos” University of Galati Romania Computer Science and Information Technology Faculty of Automation Computers Electrical Engineering and Electronics “Dunarea de Jos” University of Galati The Modelling & Simulation Laboratory Dunarea de Jos University of Galati Galati Romania

ISBN: (数字)9798350395440

ISBN: (纸本)9798350395457

In this work, an attempt is made for the first time to use the measurement pattern generated by morphological transformation quantified by Hausdorff fractal dimension (HFD) and classified with ensemble learning based on bagging. The proposed work uses three morphological transformations for image preprocessing: hit-and-miss transform (HMT), white (WHT), and black top-hat (BHT). The pattern texture of US breast images is described by extracting the HFD from the regions of interest (ROI) after the ultrasound (US) images have been preprocessed. The main objective of this study was achieved by comparatively analyzing the classification performance of features using the Random Forest (RF), Extra Trees (ET) classifier, and bagging ensemble method based on XGBoot classifier. In presented study, the XGBoost classifier and BHT image processing method give an accuracy of 89.8% in a binary classification, benign versus malignant breast cancer.

关键词： Ultrasonic imaging Transforms Feature extraction Time measurement Fractals Ensemble learning Image preprocessing

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A Deep Learning Approach For Faults Recognition of Dissolved Oxygen Sensor in Wastewater Treatment Plants

A Deep Learning Approach For Faults Recognition of Dissolved...

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International Conference on Emerging Technologies and Factory automation (ETFA)

作者： Liliana Maria Ghinea Mihaela Miron Harsha Ratnaweera Department of Automatic Control and Electrical Engineering Department Faculty of Automation Computers Electrical Engineering and Electronics Galați Romania Department of Computer Science and Information Technology Faculty of Automation Computers Electrical Engineering and Electronics Galați Romania Faculty of Science and Technology Norwegian University of Life Sciences Oslo Norway

Fault diagnosis in wastewater treatment plants (WWTPs) is important to protect communities and ecosystems from toxic elements discharged into water. In this sense, fault identification of sensors plays an important role as they are the key components of the water plants control, especially because environmental legislation is very strict when referring to failures or anomalies in WWTPs. This paper analyzes the performances of two Deep Learning models, a Feedforward Neural Network (FFNN) and a 1D Convolution Neural Network (1DCNN) for identifying five operating states of the dissolved oxygen (DO) sensor: normal and faulty (bias, stuck, spike and precision degradation faults). The experiments were conducted on the Benchmark Simulator Model No 2 (BSM2) developed by the IWA Task Group. The performance of the Deep Learning (DL) classifiers was evaluated via accuracy, precision, recall, and F1-score metrics. The best overall classification accuracy was obtained by FFNN, 98.32% for training and 98.30% for testing.

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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 ...

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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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