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检索条件"任意字段=13th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2023"

共 285 条记录，以下是131-140 订阅

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Transient Frequency Coordination Support Method Considering Multiple HVDC Power Modulations and Flexible Load Regulation 13

Transient Frequency Coordination Support Method Considering ...

引用

13th international conference on Power and Energy systems, ICPES 2023

作者： Chen, Changyong Liu, Peng Gou, Yanfeng Hu, Yi Luo, Jinglin International Engineering Co. Ltd. China Energy Construction Group Beijing China China Gezhouba Group Overseas Investment Co. Ltd. Beijing China Administration Patent Examination Cooperation Sichuan Center National Intellectual Property Chengdu China Xihua University School of Electrical and Electronic Information Chengdu China

ISBN: (纸本)9798350345063

In response to the modern power grid with multiple HVDC injections, extractions, and flexible loads, this paper proposes a transient frequency coordination support method based on wide-area measurement technology. the method first linearizes the power increment equations for each node in the power grid, establishing a system state equation based on wide-area measurement data after disturbance. then, using this equation, the paper constructs a frequency dynamic analysis model for the power grid, considering both HVDC power modulation and flexible load regulation. By taking into account the impact of different control schemes on the power flow safety, an optimization model for transient frequency coordination control is constructed. Finally, through solving the optimization model, the paper presents a transient frequency coordination support strategy for emergency situations involving both multiple HVDC power modulations and flexible load regulations. the proposed method is validated using the improved ieee 50-generator system, and the results and control effects are compared and analyzed, demonstrating the correctness and effectiveness of the proposed approach. © 2023 ieee.

关键词： Optimization

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Optimal control of Wave Energy Conversion Supplemented by the Adaptive Compensation 13

Optimal Control of Wave Energy Conversion Supplemented by th...

引用

13th international conference on Power and Energy systems, ICPES 2023

作者： Lin, Huijin Kuang, Weihong Yang, Junhua Guo, Jinchuan Gu, Xinmei Zhou, Yu He, Xin Huang, LiTao Liu, Ni Guangdong Electric Power Design Institute CO. LTD Power Grid Engineering Company China Energy Engineering Group Guang Zhou China Guangdong University of Technology School of Automation Guang Zhou China South China University of Technology Guang Zhou China Guangdong Environmental Protection Technical School Guang Zhou China

ISBN: (纸本)9798350345063

Under conditions of irregular waves, the enhancement of the optimal power capture state can be achieved through the construction of the optimal power capture configuration using the extremum of the energy function. By employing fluid simulation software, a nonlinear hydrodynamic model is developed for the corresponding wave power generation apparatus. this model serves as the foundation for establishing an optimal electromagnetic force, guided by a magnetic field directional control strategy. To surmount the intricacies of the maritime environment, a super-twisting sliding mode observer is introduced, affording sensorless technology and elevating the precision of state variable acquisition. Simulation results unequivocally demonstrate that the envisaged control strategy exhibits prompt response dynamics and formidable adaptability when exposed to uniform wave excitation. Consequently, this strategy can significantly amplify system output power by approximately 40%, concurrently addressing a 10% compensation of power losses. © 2023 ieee.

关键词： Permanent magnets

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Adaptive Dynamic Programming-Based Distributed Coordinated control for Dual-Arm Reconfigurable Manipulators 6

Adaptive Dynamic Programming-Based Distributed Coordinated C...

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6th international conference on Robotics, control and Automation engineering, RCAE 2023

作者： Liu, Guanting Li, Yuanchun Qu, Meng An, Tianjiao Zhu, Mingchao Ma, Bing Changchun University of Technology Department of Control Science and Engineering Changchun China Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy of Sciences Department of Control Science and Engineering Changchun China

ISBN: (纸本)9798350315301

In this paper, a distributed coordinated control method of dual-arm reconfigurable manipulators based on adaptive dynamic programming is proposed. through kinematic analysis, the dynamic models of the reconfigurable manipulators and the grasped object are established, respectively. According to the load distribution method, the motion induction force is effectively distributed on each arm. then, the dynamic model of a single reconfigurable manipulator is obtained. the performance index function is defined to reflect the joint position tracking error and internal force tracking error. the neural network is utilized to approximate the performance index function to obtain the optimal control strategy through the Policy Iteration (PI) algorithm. thus, a distributed optimal coordinated controller is acquired. the tracking error of the manipulator system is proved be ultimately uniformly bounded (UUB) through Lyapunov's stability. Finally, the effectiveness of the developed control method is verified by simulations. © 2023 ieee.

关键词： Dynamic models

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A Cloud-Edge-Based Multi-Label Learning and Fast Clustering Method for Emerging New PV Faults 13

A Cloud-Edge-Based Multi-Label Learning and Fast Clustering ...

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13th ieee international conference on CYBER Technology in Automation, control, and Intelligent systems, CYBER 2023

作者： Liu, Qi Yang, Bo Liu, Yuxiang Ma, Kai Guan, Xinping Shanghai Jiao Tong University Ministry of Education Key Laboratory of System Control and Information Processing Department of Automation Shanghai200240 China School of Electrical Engineering Yanshan University Qinhuangdao066004 China

ISBN: (纸本)9798350315196

Aiming at accurate identification of emerging new faults in PV systems, a novel PV fault diagnosis framework based on cloud-edge collaboration is designed. Model updates are deployed on the cloud servers, while real-time diagnosis is implemented at the edge devices. A multi-label learning model is developed to extract fault features efficiently, and a threshold scheme is further designed for feature enhancement. the obtained features are processed by K-Means clustering and the One-Class Support Vector Machine (OCSVM) methods, which can accurately diagnose existing types and identify unknown faults. For analysis and demonstration, the Principal Component Analysis (PCA) and t-Distributed Stochastic Neighbor Embedding (t-SNE) methods are used for dimensionality reduction and visualization. Numerical results validate the effectiveness of the proposed method. © 2023 ieee.

关键词： K-means clustering

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SingAll: Scalable control Flow Checking for Multi-Process Embedded systems 13

SingAll: Scalable Control Flow Checking for Multi-Process Em...

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13th international conference on Computer and Knowledge engineering, ICCKE 2023

作者： Amininasab, Mehdi Patooghy, Ahmad Fazeli, Mahdi Tehran Iran North Carolina a&t State University Department of Computer Systems Technology NC United States Halmstad University School of Information Technology Halmstad Sweden

ISBN: (纸本)9798350330151

Reliability concerns of embedded systems are traditionally resolved by software-based control flow checking (CFC) methods where the execution flow of the processor is monitored to detect and compensate flow violations. Traditional CFC methods may lose their efficiency when it comes to multiprocessing embedded systems. In this paper, we introduce and validate a novel flow error model for multiprocessing embedded systems. Further, we propose a holistic CFC system which performs the flow checking of the processes of interest. the proposed CFC checking introduces the concept of a single monitoring process intended to check the execution flow of as many processes as wanted within an multiprocessing embedded system. Proposed solution does not introduce any substantial overheads in performance and memory consumption. Even more important is method's insensitivity to the number of checked processes. Our wide evaluations show the average performance overhead of 13.77%, average code-size overhead of 51.71%, and the average memory overhead of 1.95% on the Mibench benchmark suite. Results of fault injections confirm that the proposed CFC method successfully detects more than 95% of flow errors including our newly defined error model. © 2023 ieee.

关键词： Errors

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Optimal Operating Concentration control for Direct Methanol Fuel Cell system by Considering Energy Conversion Efficiency 13

Optimal Operating Concentration Control for Direct Methanol ...

引用

13th international conference on Power, Energy and Electrical engineering, CPEEE 2023

作者： Chi, Xuncheng Chen, Fengxiang Mo, Tiande Li, Yu Wu, Bo Tongji University School of Automotive Studies Shanghai China Hong Kong Productivity Council Hong Kong China North Engine Research Institute Tianjin China

ISBN: (纸本)9781665490146

Direct methanol fuel cell (DMFC) is considered as promising portable power supply at hectowatt level due to its low working temperature and high energy density. this article investigates a sliding mode control to generate stable operating methanol concentration for DMFC system by considering energy conversion efficiency according to different load demands. the model of DMFC system is established to describe the material flow as well as output performance. To achieve the maximum energy conversion efficiency under the required power demand, the reference methanol concentration is determined by analyzing the DMFC system output power as well as the reaction/crossover methanol flow rate. the sliding mode algorithm is adopted to track reference methanol concentration and the simulation results show that compared with fixed methanol concentration (e.g., concentration of 0.3 mo1/L and 0.4 mol/L), the proposed optimal methanol concentration can increase the energy conversion efficiency by 2.3% and 5.6%, as well as reduce the methanol consumption by 8.6% and 18.9% respectively. © 2023 ieee.

关键词： Methanol

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Fault Estimation and Fault-Tolerant control of Nonlinear systems with Polynomial Faults 13

Fault Estimation and Fault-Tolerant Control of Nonlinear Sys...

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13th ieee international conference on CYBER Technology in Automation, control, and Intelligent systems, CYBER 2023

作者： Pan, Ying Lu, Yang Chen, Xiangyong Pang, Guochen Linyi Radio Technology Assurance Center Linyi276000 China College of Automation and Electrical Engineering Linyi University Linyi276005 China

ISBN: (纸本)9798350315196

In this paper, the issue of fault estimation and fault tolerant control(FTC) of non-linear systems on the basis of event-triggered strategies is studied. the fault dynamics is designed as a case of a known polynomial function that can be represented as a function of time. the use of an event-triggered communication mechanism allows the sampled output to be transported across the network only when the given trigger condition is satisfied, thus greatly saving network communication resources. A fault estimation observer is devised to simultaneously evaluate the system state and fault signals without considering time-varying network communication delays, providing a basis for designing fault-tolerant controllers. Build a fault-tolerant controller based on estimated signals of state and fault from observers to maintain the stability and performance of the system under fault conditions. Finally, the feasibility of the presented approach is illustrated by a simulation experiment. © 2023 ieee.

关键词： Nonlinear systems

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Neural Adaptive Fixed-Time Consensus control for Nonlinear Multi-Agent systems with Prescribed Performance 13

Neural Adaptive Fixed-Time Consensus Control for Nonlinear M...

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13th international conference on Information Science and Technology, ICIST 2023

作者： Yan, Yancheng Li, Tieshan Yang, Hanqing Li, Yaolun Zhang, Yunhao Long, Yue Chen, C.L. Philip School of Automation Engineering University of Electronic Science and Technology of China Chengdu611731 China School of Computer Science and Engineering South China University of Technology Guangzhou510641 China

ISBN: (纸本)9798350313925

this paper proposes a neural adaptive fixed-time consensus control approach for the nonlinear multi-agent system (MAS) with prescribed performance. First, by employing an error transformation, a prescribed performance consensus control strategy is presented, which can steer the consensus errors to the predetermined range in a fixed time. then, the unknown nonlinear functions are approximated by utilizing neural networks and the adaptive backstepping technique. Meanwhile, a first-order filter is adopted to avoid taking derivatives of the virtual controller. With the proposed strategy, all signals of the MAS remain bounded and the fixed-time leader-following consensus control performance is ensured. Finally, these results are illustrated by simulations. © 2023 ieee.

关键词： Multi agent systems

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Disturbance Compensation Based Sliding Mode control for Aerial Soft Manipulator system 13

Disturbance Compensation Based Sliding Mode Control for Aeri...

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13th ieee international conference on CYBER Technology in Automation, control, and Intelligent systems, CYBER 2023

作者： Jin, Ying Pei, Tengfei Yu, Hai Zhang, Zhaopeng Han, Jianda Liang, Xiao Institute of Robotics and Automatic Information System Tianjin Key Laboratory of Intelligent Robotics College of Artificial Intelligence Nankai University Tianjin300350 China Nankai University Ministry of Education Engineering Research Center of Trusted Behavior Intelligence Tianjin300350 China

ISBN: (纸本)9798350315196

Aerial manipulation is an emerging area of research that is experiencing rapid growth and has immense potential across various domains, including precision agriculture, construction, and search and rescue operations. the combination of quadrotor with manipulation capabilities can provide access to remote or hazardous areas, precise control over tasks, and increased efficiency and safety in operations. However, traditional aerial manipulation platforms equipped with rigid manipulators have such drawbacks greater weight and less safety. Consequently, a novel complaint aerial manipulation system is considered to be developed. In this paper, a novel structure of an aerial manipulation platform with a single-section continuum manipulator is developed. In order to address the center-of-mass displacement resulting from manipulator movements, a sliding mode controller is introduced as a means to ensure the quadrotor's flight remains smooth. Afterward, the Lyapunov theorem is employed to ensure stability of the entire closed-loop system. Subsequently, numerical simulations are carried out to showcase the superior performance of the proposed control scheme in comparison to the PD controller. © 2023 ieee.

关键词： Antennas

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Emergent Emotion via Neural Computational Energy Conservation on a Humanoid Robot 13

Emergent Emotion via Neural Computational Energy Conservatio...

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13th ieee-RAS international conference on Humanoid Robots (Humanoids)

作者： Kirtay, Murat Oztop, Erhan Ozyegin Univ Dept Comp Sci Cekmekoy CampusNisantepe MahOrman Sk 13 TR-34794 Istanbul Turkey

ISBN: (纸本)9781479926190

this paper presents our initial work on how emotion based behaviors may emerge through computational mechanisms. We hold that in addition to basic emotions such as anger and fear that serves bodily well being of the organism, high level emotions such as boredom and affection have evolved to facilitate low cost brain computations. Higher level of emotions can be considered as affective state of the organism or mood, rather than the reflex-like physiologically triggered emotional responses such as fear and anger. In large and complex brains (e.g. primate brains), the neuronal energy consumption for cognition is non-negligible. We propose that for such organisms computational regulatory mechanisms for decision making give rise to behaviors that can be explained by various emotional states. As a proof of concept for this idea, we envision a robotic cognitive system and a select function that we assign a neural cost for its operation. To be concrete, we use a small humanoid robot platform (Darwin-OP) and implement a neural network (Hopfield Network) that allows the robot to recall learned patterns that it sees through its camera. As a model of neural computational energy consumption, we postulate that a change in the state of a neural unit of the network consumes one unit of (neural) energy. therefore, the total computational energy consumed is determined by the incoming stimuli. the robot is programmed to avoid high energy consumption by showing aversive behavior when the energy consumption is high. Otherwise, the robot demonstrates engaging behavior. For an external observer these responses may be perceived as robot's having certain emotional (affectional) preference for input stimuli. In this article in addition to robot experiments, we also emphasize the biological support for our proposal and provide detailed exposition of biological background and its relevance for the hypothesis that (certain) emotions may emerge through computational mechanisms.

关键词： Hopfield neural nets cognitive systems control engineering computing decision making emotion recognition humanoid robots Darwin-OP Hopfield network emotion based behavior humanoid robot neural computational energy conservation neural network robotic cognitive system Biology Cameras Convergence Energy consumption Neural networks Noise Robots

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