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Adaptive Attitude Fault-Tolerant control of Quadcopter Based on Fuzzy State Observer

Adaptive Attitude Fault-Tolerant Control of Quadcopter Based...

引用

2023 international Annual conference on Complex systems and intelligent Science, CSIS-IAC 2023

作者： Zou, Lingwei Gao, Chuang School of Electronic and Information Engineering University of Science and Technology Liaoning Anshan China

ISBN: (纸本)9798350309003

Considering the control problem of quadcopter under both actuator fault and sensor fault, based on the fuzzy state observer, a backstepping adaptive fault-tolerant controller is proposed, which realizes the adaptive estimation of fault parameters and ensures the attitude stability of the quadcopter under two fault conditions. For actuator fault and sensor fault, the fault models are established, and through the application of the cubic absolute-value Lyapunov functions and the adaptive estimation of unknown parameters, it is shown that each output value of the entire closed-loop system is bounded by the given fault-tolerant controller, and the final simulation also proves the effectiveness of the method. © 2023 ieee.

关键词： Backstepping

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Analysis of Model Predictive controller versus Linear Quadratic Regulator for DC-DC Buck Converter systems 7

Analysis of Model Predictive Controller versus Linear Quadra...

引用

7th international conference on intelligent Computing and control systems, ICICCS 2023

作者： Kumari, Soni Rayguru, Madan Mohan Upadhyaya, Shreyansh Delhi Technological University Electrical Engineering Department Delhi India

ISBN: (纸本)9798350397253

The main goal of this study is to compare the closed loop response of a DC-DC Buck Converter using different optimization strategies such as Model Predictive control (MPC) and Linear Quadratic Regulator (LQR). For a converter operating in Continuous Conduction Mode(CCM), a simplified discrete model-based predictive control is described, along with some general remarks on LQR compared to it. The control decision computation is basic for the system. By linearizing the matrix of converter model coefficients, the discrete model of the converter is made simpler. The control task is first solved using a linear quadratic regulator coupled with feedforward control. Second, it implements nonlinear model predictive control. The output of the converter can be adjusted with a quick and accurate response under varied working situations, according to simulation results that demonstrate the viability of the predictive control method when implemented online and using digital technology. © 2023 ieee.

关键词： Model predictive control

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Synchronous control of Multi-mover PMLSM Using Ring Coupling control Strategy Sliding Mode 14

Synchronous Control of Multi-mover PMLSM Using Ring Coupling...

引用

14th ieee international conference on Power Electronics and Drive systems, PEDS 2023

作者： Zhong, Jinglong Song, Bao Li, Hu Zhou, Xiangdong School of Mechanical Science and Engineering Huazhong University of Science and Technology China Guangdong Intelligent Robotics Institute Dongguan China

For the synchronous control of multi-mover permanent magnet linear synchronous motors (PMLSM) which is widely used in logistics equipment, a control method for the synchronization of multi-mover is developed by combining sliding mode control and ring coupling control strategy. Define the speed error of the two movers as the synchronization error, and introduce it into the control system of the previous mover, to improve the synchronization accuracy between the movers. Moreover, the stability of the control system is proved by the Lyapunov stable theory. The experimental results of the four-mover synchronous control system show that the proposed method can enhance the speed tracking and synchronization error of the platform effectively. © 2023 ieee.

关键词： Synchronization

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Day and Night City View Image Translations Using Cycle GAN 6

Day and Night City View Image Translations Using Cycle GAN

引用

6th ieee international conference on Recent Advances in intelligent Computational systems, RAICS 2024

作者： Somanna, A.G. Sidduprasad, M. Kodipalli, Ashwini Rao, Trupthi Global Academy of Technology Department of Artificial Intelligence and Data Science Karnataka Bengaluru India

ISBN: (纸本)9798350381689

CycleGAN, a type of Generative Adversarial Networks (GANs), is used in this study to tackle the difficult problem of translating cityscape photographs between day and night settings. Day-to-night picture translation is changing well-lit daytime images into nocturnal landscapes using artificial lighting, unique color palettes, and atmospheric effects, and vice versa. Previously, this work required labour-intensive manual involvement or specialised picture algorithms, but deep learning and GANs have introduced automation and better quality to this industry. CycleGAN excels at unpaired picture translation, even when there are no obvious correspondences between daylight and nighttime datasets. It makes use of the idea of cycle consistency to ensure proper translation between picture domains. This study focuses on training a CycleGAN model and found encouraging results. Beyond technical aspects, this paper highlights practical applications spanning film production, gaming, urban planning, traffic management, photography, environmental impact assessment, and more. CycleGAN's adaptability offers opportunities to enhance realism, aesthetics, and decision-making across various domains. In summary, this research underscores the potential of CycleGAN in day-to-night image translation, unlocking new possibilities in visualizing urban environments and influencing diverse industries and applications. © 2024 ieee.

关键词： Decision making

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Revolutionizing Global Logistics: Integrating Advanced Supply Chain Management Techniques in the Digital Era

Revolutionizing Global Logistics: Integrating Advanced Suppl...

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2025 international conference on Multi-Agent systems for Collaborative Intelligence, ICMSCI 2025

作者： Ramkumar, M. Siva Arun, M. Gopan, Gokul Giri, Jayant Al-Qawasmi, Khaled Sns College of Technology Dept of Ece India Saveetha University Department of Mechanical Engineering Chennai602105 India YeshwantraoChavan College of Engineering Department of Mechanical Engineering Nagpur India Lovely Professional University Division of Research and Development Phagwara India Saveetha University Department of Vlsi Microelectronics TN Chennai602105 India Zarqa University Faculty of Information Technology Department of Cyber Security Zarqa Jordan University of Business and Technology Jeddah21448 Saudi Arabia

ISBN: (纸本)9798331509828

In the digital era, global logistics and supply chain management are undergoing a revolutionary transformation, driven by advancements in technology and interconnected systems. This evolution aims to enhance operational efficiency, reduce costs, and increase overall supply chain visibility. However, existing supply chain systems often suffer from challenges such as lack of real-time data, limited visibility, inefficiencies, and difficulties in tracking inventory across complex networks. These issues lead to delays, increased operational costs, and reduced customer satisfaction. The proposed framework, Revolutionizing Supply Chains using IoT (RSC-IoT), integrates cutting-edge Internet of Things (IoT) technologies to address these challenges. By embedding sensors and connected devices throughout the supply chain, RSC-IoT facilitates real-time data collection, enabling smarter decision-making, accurate demand forecasting, and enhanced inventory management. This system also improves visibility, helping stakeholders track goods, anticipate disruptions, and optimize resource allocation. The use of RSC-IoT will lead to improved supply chain resilience, faster response times, and increased operational efficiency. The system's ability to monitor and control key metrics, such as transportation times, inventory levels, and production schedules, offers unprecedented control and insight. The findings from the implementation of RSC-IoT reveal significant improvements in logistics performance. Enhanced real-time tracking, reduced lead times, and optimized resource utilization contribute to a more agile and cost-efficient global supply chain, demonstrating the transformative potential of IoT in logistics management. © 2025 ieee.

关键词： Customer satisfaction

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Reconfigurable intelligent Surface Aided Loopback Interference Suppression 3

Reconfigurable Intelligent Surface Aided Loopback Interferen...

引用

3rd ieee international Mediterranean conference on Communications and Networking, MeditCom 2023

作者： Liu, Yicheng Li, Zhao Zhu, Yanyan Chang, Zhixian Liu, Jia Xidian University School of Cyber Engineering Xi'an China Xi'an University of Posts & Telecommun. School of Commun. and Inf. Eng. & School of Artificial Intel. Xi'an China National Institute of Informatics Center for Strategic Cyber Resilience Research and Development Tokyo Japan

ISBN: (纸本)9798350333732

Interference has become a key impediment to improving the performance of communication systems. In traditional interference management (IM) methods design, acquiring information about interference is critical but can be expensive. Reconfigurable intelligent Surface (RIS) is a novel equipment in the field of wireless communications. It offers the advantages of low cost and flexible signal adjusting capability, making it ideal for use in IM. In this paper, we propose an IM method called RIS-Aided Loopback Interference Suppression (RIS-LIS), which leverages RIS to achieve low-cost IM. In RIS-LIS, the desired transmitter (Tx) uses the RIS to detect the phase difference between the interference directly sent from the interfering Tx and that forwarded by the desired Rx to the RIS. This information is exploited to deduce the interference phase difference at the desired Rx. The desired Tx then adjusts the reflection coefficient of the RIS based on the measured phase difference so that the reflected interference can counteract the direct interfering component at the desired Rx. The proposed RIS-LIS doesn't require the desired Tx to accurately estimate the channel state information (CSI) with respect to (w.r.t.) the interfering Tx or share its desired data with others to achieve IM. This not only reduces the signaling overhead but also protects the privacy of the interfering communication-pair's data transmission. Our theoretical analysis and simulation results have demonstrated that the proposed RIS-LIS can fully leverage interference to achieve interference suppression and significantly improve the spectral efficiency (SE) of the desired communication-pair. © 2023 ieee.

关键词： Costs

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Cross-Domain Fault Diagnosis via Meta-Learning-Based Domain Generalization 18

Cross-Domain Fault Diagnosis via Meta-Learning-Based Domain ...

引用

ieee 18th international conference on automation Science and Engineering (ieee CASE)

作者： Yue, Fengyu Wang, Yong Univ Sci & Technol China Dept Automat Hefei 230026 Peoples R China

ISBN: (数字)9781665490429

ISBN: (纸本)9781665490429

In recent years, intelligent Fault Diagnosis (IFD) technology, as a promising method, has been a hot research topic in the field of condition monitoring and diagnosis systems, which is the focus of ensuring industrial production safety and productivity. However, the utilities of many existing IFD methods are limited by the poor-quality monitoring data, most of which are unlabeled, non-stationary, and collected from various working conditions. In addition, the unavailability of the testing data in the IFD model training phase makes the problem more challenging but more practical. In the paper, a simple-structured one-dimensional convolutional neural network(1-D CNN) with a feature extractor, a classifier, and a meta-optimizer is constructed to tackle the tricky cross-domain issues. A scalable meta-learning-based domain generalization strategy is proposed to reduce the gap among the multi-source domains. As a result, the network can learn common fault knowledge from multiple related but different source domains and then be used to analyze new target domains. Two case studies verify the effectiveness, real-time performance, and application prospects of the proposed training strategy in cross-domain fault diagnosis tasks.

关键词： Fault diagnosis Training Productivity Feature extraction Real-time systems Robustness Safety

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Privacy-Preserving QR Code Schemes for Data Access and Aggregation in Smart Distribution Grid systems 9

Privacy-Preserving QR Code Schemes for Data Access and Aggre...

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9th international conference on intelligent Computing and Signal Processing, ICSP 2024

作者： Zhang, Zhijun Gao, Yingjian Zhu, Weiping Lu, Kai State Grid Electric Power Research Institute Jiangsu Nanjing China State Grid JiangSu Electric Power Co. Ltd Jiangsu Nanjing China

ISBN: (纸本)9798350376548

The smart distribution grid is a type of electrical supply network that has been widely applied in life. Ensuring efficient and secure communication of information within the smart distribution grid has become one of the hot topics of research. This paper presents a QR code-based data access control and aggregation scheme for smart distribution grid. The scheme utilizes QR codes to store user's electricity consumption information and employs Hamming encoding along with information hiding techniques to embed user's identifiers into the QR codes for authentication by local gateways. Experimental results show that the scheme can effectively resist common image attacks. Compared to existing hiding schemes, this scheme demonstrates certain advantages in terms of security, robustness, and embedding capabilities. © 2024 ieee.

关键词： Smart power grids

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Architecture Design of intelligent Decision-making Software for Unmanned Ground Vehicles for Reconnaissance and Surveillance Tasks

Architecture Design of Intelligent Decision-making Software ...

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2023 international conference on Frontiers of Robotics and Software Engineering, FRSE 2023

作者： Li, Xing Gu, Qijia Zhang, Pengyi Su, Jian Cssc Systems Engineering Research Institute Intelligent Technology Department Beijing China

ISBN: (纸本)9798350301113

Aiming at the requirements of unmanned ground vehicles to perform reconnaissance and surveillance tasks in complex environments, considering the current conditions of unmanned vehicles such as complex battlefield environment, limited continuous operation time, and low ability of fully autonomous intelligent decision-making control, a software architecture design for intelligent decision-making of unmanned ground vehicles for reconnaissance and surveillance tasks is proposed. Considering the requirements of completion rate and success rate of reconnaissance and surveillance tasks, a human-machine collaboration-oriented vehicle intelligent behavior decision-making and abandonment management evaluation method is proposed. Through the construction of the simulation system and task experiments, it is verified that the design can complete autonomous intelligent decision-making for reconnaissance and surveillance tasks in typical complex environmental scenarios, can call the abandonment management method, hand over vehicle control rights in dangerous situations, achieving an effective improvement of the mission completion of unmanned. © 2023 ieee.

关键词： Ground vehicles

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Guide for Stabilization and Heuristic Optimization of Second-order systems controlled by P/I-delayed controllers 11

Guide for Stabilization and Heuristic Optimization of Second...

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11th ieee international conference on intelligent systems, IS 2022

作者： Strmiska, Martin Pekar, Libor Araujo, Jose Mario Tomas Bata University Department of Automation and Control Engineering Zlin Czech Republic Federal Institute of Education Science and Technology of Bahia Department of Automation and Systems Salvador Brazil

ISBN: (纸本)9781665456562

The present paper shows the procedure for the stabilization and subsequent optimization of second-order systems using a proportional plus integral delayed controller. Stabilizing closed-loop control systems using a controller comprehends several techniques to increase the control circuit's stability. Even in some simple second-order plants, the classical proportional integral controller cannot be applied to pursue closed-loop stability. However, the design requires constant reference tracking capability, for example. Moreover, if there is a time delay in the feedback loops inside a controlled system, the system has an infinite spectrum - infinitely many roots (poles);this degrades the control's quality, especially in terms of stability, robustness, and oscillation response. For these reasons, it is also necessary to optimize the transient response of the system. The main objective of this paper is to provide a guide for optimal control of second-order systems controlled by a proportional integral-delayed controller. Some examples are chosen as benchmarks to verify the effectiveness of the stabilization and subsequent heuristic optimization. In future research, we would like to focus on implementing selected modern optimization algorithms for solving non-smooth, non-convex, and non-Lipschitz optimization problems. © 2022 ieee.

关键词： Time delay

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