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Adaptive Neural Networks Based Optimal control for Stabilizing Nonlinear System 3

Adaptive Neural Networks Based Optimal Control for Stabilizi...

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3rd IEEE international Maghreb Meeting of the conference on Sciences and Techniques of Automatic control and Computer engineering, MI-STA 2023

作者： Abougarair, Ahmed J. University of Tripoli Electrical and Electronics Engineering Tripoli Libya

ISBN: (纸本)9798350319897

The cart pole system (CPS) is a topic that has captured the interest of many academics, particularly control engineers, due to its nonlinear and underactuated characteristics. This paper proposes a control law to stabilize the system, using an optimal and intelligent controller such as LQRWFPI (Linear Quadratic Regulator with feedforward PI controller) and supervised control with neural networks. A hybrid controller is introduced, combining the strengths of a neural controller improved with a LQRWFPI controller into a single system. An adaptive neuro-controller is trained offline to simulate the LQRWFPI controller, and then placed into the feedback loop where it continues to update its weights. The study achieves online adaptive control of a non-linear CPS using a Generalized Adaptive Linear Element (GADALINE), with the regularized LM algorithm utilized to train the linking weights of the neural controller offline, and the LSM algorithm used to train the ADALINE ANN online. The objective is to develop a quick and reliable neural network-based nonlinear controller for the CPS that can effectively handle disturbances, uncertainties, and nonlinearities that would cause other robust controllers to fail. Results demonstrate that the neural network controller can learn in real-time to mitigate disturbances and continue to operate the plant efficiently. © 2023 IEEE.

关键词： controllers

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Automatic recognition of GPR localized targets images using C3 algorithm 3

Automatic recognition of GPR localized targets images using ...

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3rd IEEE international Maghreb Meeting of the conference on Sciences and Techniques of Automatic control and Computer engineering, MI-STA 2023

作者： Ammar, Abdussalam Masaud Youssef Ellafi, Amira Elkhatalli, Said Faculty of Electronic Technology Tripoli Libya Faculty of Electronic Technology BaniWalid Libya

ISBN: (纸本)9798350319897

A near-surface geophysical technique with several uses is ground penetrating radar, often known as GPR, ground probing radar, or georadar. GPR has been utilized effectively over the past 30 years to aid with limiting issues in various domains, including environmental site characterization, archaeology, glaciology, etc. The electromagnetic signal produced by the GPR, a Non Destructive Testing (NDT) method, penetrates the subsurface and measures the amplitude and duration of the signal that is reflected back. GPR data may be used to create high-resolution cross-sections of the scanned material. After pre-processing the input GPR images, a special thresholding approach is employed to separate the regions of interest from background. The next step is to utilize a column connection clustering (C3) approach to divide the areas of interest from one another. © 2023 IEEE.

关键词： Ground penetrating radar systems

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How AI can Advance Model Driven engineering Method ? 3rd

How AI can Advance Model Driven Engineering Method ?

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3rd international conference on Intelligent Systems and Pattern Recognition, ISPR 2023

作者： Subhi, Mohamad Suhairi Md Nicolas, Willem Renard, Akina Romero, Gabriela Maria Garcia Ouederni, Meriem Chaari, Lotfi Toulouse INP Toulouse France IRIT-Toulouse INP Toulouse France

ISBN: (纸本)9783031463372

Artificial intelligence (AI) skills are being increasingly applied in today’s field of computer science. This aims at better satisfying customer requirements, reducing errors, improving decision-making, tackling complex problems, system automation, increasing operational efficiencies, etc. To do so, AI implies several sub-fields such as Machine Learning (ML), Deep Learning (DL), Neural Networks (NN), Natural Language Processing (NLP), robotics, etc. Applications of AI are innumerable, including healthcare and biomedicine, bio-informatics, physics, robotics, geo-sciences and more. Our current paper studies AI applications for modeling IoT systems using Model Driven engineering (MDE) method. We survey the most significant research work related to our topic and investigate how AI techniques could be used to better resolve software engineering issues. In the context of the current paper, we particularly focus on healthcare systems as an illustrative specific domain. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： robotics

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Sliding Mode control For Underactuated Nonlinear Mechanical Systems 3

Sliding Mode Control For Underactuated Nonlinear Mechanical ...

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3rd international conference on Advanced Electrical engineering, ICAEE 2024

作者： Feddaoui, Anis Abdeldjalil, Djehaf Mohamed Bilal, Bouchelarm Youcef Islam, Djilani Kobibi Youcef, Djeriri Badji Mokhtar University Genie Electromechanique Laboratory Department of Electromechanical dept Annaba23000 Algeria Djillali Liabes University Faculty of Electrical Engineering Department of Automatic Control Sidi Bel-Abbes22000 Algeria Mustapha Stambouli University Faculty of Sciences and Technology Department of Electrical Engineering Mascara29000 Algeria Djillali Liabes University Faculty of Electrical Engineering Department of Electrical Engineering Sidi Bel-Abbes22000 Algeria

ISBN: (纸本)9798350349351

The Rotary Inverted Pendulum (RIP) serves as a quintessential benchmark in control theory, representing a challenging and unstable system of paramount importance. In this study, we focus on a Quanser platform to investigate the application and significance of sliding mode control in stabilizing the RIP. The importance of RIP lies in its portrayal of real-world control challenges encountered in industries ranging from manufacturing to robotics. Its inherent instability and underactuation make it an ideal testbed for advanced control strategies. Our research delves into the experimental application of sliding mode control, on the Quanser RIP platform. Through rigorous modeling, simulation, and practical implementation, we aim to demonstrate the effectiveness of this control strategy. This study contributes to the broader discourse on control systems and automation, showcasing the potential of sliding mode control in addressing complex and dynamic systems. The outcomes of our research not only advance the understanding of control theory but also have practical implications for industries where precise control and stabilization are critical. © 2024 IEEE.

关键词： Sliding mode control

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A Position and Attitude Precise control Method of Electric-Assisted Transfer Vehicle 3

A Position and Attitude Precise Control Method of Electric-A...

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3rd international conference on Mechatronics and Automation Technology, ICMAT 2024

作者： Xu, Yuefei Jia, Fengru Xu, Yinfei Meng, Haojie Shen, Jinggui Wang, Xiu Hu, Yueli Liu, Xuqiang Liu, Mingjie Hangzhou Power Equipment Manufacturing Co. Ltd. Hangzhou311100 China School of Automation Hangzhou Dianzi University Hangzhou310018 China

ISBN: (纸本)9781643685649

This paper presents a control method for adjusting the position of an electrical-assisted transfer vehicle in the context of substation auxiliary operation platforms. The proposed method integrates robotics, automatic control technology, and network communication technology to achieve precise attitude control and effective position adjustments. The control model is based on a two-wheel differential model, with a focus on posture adjustment strategies and dual-loop control. The paper also discusses the use of binocular vision for detecting target information and the 3D reconstruction process. The effectiveness of the proposed method is verified through a specific example, demonstrating its ability to meet error threshold requirements. © 2024 The Authors.

关键词： Binocular vision

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Image Processing-Based Droplet Size Detection 3

Image Processing-Based Droplet Size Detection

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3rd IEEE international conference on Social Sciences and Intelligence Management, SSIM 2023

作者： Yang, Kaikai Gan, Shukun Lv, Xuefei Liu, Zile Ma, Leiming Chang, Yumeng School of Information and Control Engineering Jilin Institute of Chemical Technology Jilin China Jilin Institute of Chemical Technology Engineering Training Center Jilin China School of Electrical and Mechanical Engineering Jilin Institute of Chemical Technology Jilin China Jilin Power Supply Company State Grid Corporation of Jilin Province Jilin China

ISBN: (纸本)9798350327786

To solve the problem of uneven illumination, overlapping droplets, and other factors affecting the detection accuracy in detecting the droplet size by a visual image, an image processing for droplet size image detection was developed by comparing the detection performance of commonly used edge detection algorithms. The experimental results showed that this improved method effectively overcame the effects of insufficient light, noise interference, and other factors. The detection results were better than those of the traditional detection method using the laser particle sizer © 2023 IEEE.

关键词： Particle size

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SE(3) Koopman-MPC: Data-driven Learning and control of Quadrotor UAVs 3

SE(3) Koopman-MPC: Data-driven Learning and Control of Quadr...

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3rd Modeling, Estimation and control conference (MECC)

作者： Narayanan, Sriram S. K. S. Tellez-Castro, Duvan Sutavani, Sarang Vaidya, Umesh Clemson Univ Mech Engn Dept Clemson SC 29634 USA

ISBN: (纸本)9781713872344

In this paper, we propose a novel data-driven approach for learning and control of quadrotor UAVs based on the Koopman operator and extended dynamic mode decomposition (EDMD). Building observables for EDMD based on conventional methods like Euler angles (to represent orientation) is known to involve singularities. To address this issue, we employ a set of physics-informed observables based on the underlying topology of the nonlinear system. We use rotation matrices to directly represent the orientation dynamics and obtain a lifted linear representation of the nonlinear quadrotor dynamics in the SE(3) manifold. This EDMD model leads to accurate prediction and can generalize to several validation sets. Further, we design a linear model predictive controller (MPC) based on the proposed EDMD model to track agile reference trajectories. Simulation results show that the proposed MPC controller can run as fast as 100 Hz and is able to track arbitrary reference trajectories with good accuracy. Implementation details can be found in https://***/sriram-2502/KoopmanMPC_Quadrotor. Copyright (c) 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： Nonlinear control Systems Model Predictive control robotics Koopman Operator

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Study on Optimal control of Desulfurization Process of Fluidized Bed Boiler Based on Neural Network 3

Study on Optimal Control of Desulfurization Process of Fluid...

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3rd international conference on Electrical engineering and Mechatronics Technology, ICEEMT 2023

作者： Liang, Damei Xu, Dechang PowerChina Jiangxi Electric Power Engineering Co. Ltd Power Engineering Corporation Nanchang China

ISBN: (纸本)9798350303698

According to the desulfurization mechanism of the fluidized bed boiler, the factors affecting the desulfurization efficiency are determined, and the weight coefficients are determined according to the contribution of each factor to the desulfurization efficiency. A neural network-based model of the desulfurization system of the fluidized bed boiler is established. The structure, training and simulation capabilities of this model have been deeply and systematically studied. The simulation results show that the neural network intelligent integrated model can simulate and predict the desulfurization efficiency well. The reactor outlet temperature approaches adiabatic saturation temperature, calcium-sulfur ratio and cycle rate are the most significant parameters affecting the desulfurization efficiency. As the adiabatic saturation temperature increases, the desulfurization efficiency decreases, while the desulfurization efficiency increases with the calcium-sulfur ratio increases. Moreover, the use of recycled materials significantly improves the desulfurization efficiency. In addition, the control optimization method has high prediction accuracy and fast convergence speed, and is suitable for industrial processes with severe nonlinearity, especially for industrial processes with many input variables. © 2023 IEEE.

关键词： Desulfurization

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Self Regulation and Cooperative control Model of Voltage and Reactive Power in Power System Adapting to Cluster Wind and Power Access 3

Self Regulation and Cooperative Control Model of Voltage and...

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3rd international conference on Energy engineering and Power Systems, EEPS 2023

作者： Lu, Tao Zhen, Qing Dang, Wei State Grid Tianjin Binhai Electric Power Company Tianjin300450 China

ISBN: (纸本)9798350313857

The conventional voltage and reactive power autonomic cooperative control model of power system mainly uses the automatic voltage control (AVC) automatic selection method to predict the control power, which is vulnerable to the effect of large amplitude of reactive power and voltage jitter, resulting in low optimization rate of control objectives. Therefore, a new voltage and reactive power autonomic cooperative control model of power system needs to be designed in combination with the cluster photovoltaic access. That is to say, the voltage and reactive power autonomous cooperative control algorithm of power system is designed, and the reactive power and voltage coordinated control strategy suitable for cluster wind and solar power access is formulated, thus generating the voltage and reactive power autonomous cooperative control model of power system. The experimental results show that the control objective optimization rate of the designed voltage and reactive power autonomous cooperative control model for the cluster wind and power access is high, which proves that the designed voltage and reactive power autonomous cooperative control optimization model has good performance, reliability and certain application value, and has made certain contributions to improving the operation reliability of the power system. © 2023 IEEE.

关键词： Reactive power

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A Priority control Method for Starting and Stopping Multiple Devices Based on Automatic control Systems 3

A Priority Control Method for Starting and Stopping Multiple...

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3rd international conference on Energy engineering and Power Systems, EEPS 2023

作者： Peng, Yumin Zhang, Hao Li, Yao Liang, Yan Li, Hangyu Csges Energy Storage Research Institute Guangzhou China Yangjiang Energy Storage and Power Generation Co. Ltd Guangzhou China Tsinghua University Department of Electrical Engineering Beijing China

ISBN: (纸本)9798350313857

Taking a large power plant as an example, control equipment is used for industrial production control system to work externally. The system pressure is maintained and the system liquid level is maintained. In the past, these start-stop logics were customized by the equipment manufacturer according to the specific scenarios, without generality. In industrial production, the control mode, the available status of equipment, and the rotation of equipment priority need to be considered in the design of the control system. In particular, with the increase of equipment involved in startup and shutdown, the control logic of the entire control system will be customized and designed more and more complex. It is easy to make mistakes, which leads to control logic disorder and brings hidden dangers to safety production. According to the control mode, start/stop priority and equipment availability status, the method to obtain the equipment start/stop priority adaptively, is provided in this paper. It provides effective control methods and quantifiable expression methods for the multi-redundant control system composed of multiple equipment. With the increase of control equipment, the control system will not be designed more and more complex. © 2023 IEEE.

关键词： Production control

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