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检索条件"任意字段=6th International Conference on Electrical Engineering, Computing Science and Automation Control"

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Optimal Home Energy Management Algorithm Incorporating PVs/Electric Vehicles 6

Optimal Home Energy Management Algorithm Incorporating PVs/E...

引用

6th international Youth conference on Radio Electronics, electrical and Power engineering, REEPE 2024

作者： Sayed, Seif Elnasr Ahmed, Rana El-Zonkoly, Amany College of Enginering Arab Academy for Science Technology and Maritime Transport Electrical Power and Control Dept. Alexandria Egypt

ISBN: (纸本)9798350382891

the smart grid is more sustainable and has lower overall operating costs and carbon emissions. To manage demand in future smart grids, this research proposes a load shifting technique-based demand side management method. It proposes a day-ahead load shifting strategy that is expressed mathematically as a minimization problem solved with a particle swarm optimization (PSO) algorithm that readily adopts heuristics in the problem. the incorporation of roof-top PV units with vehicle-to-grid capability is a key component of the suggested strategy. this means that in addition to load shifting and congestion management, electric vehicles (EVs) and PVs can offer the power grid specific services like generation and storage management. A residential building with a number of devices, including EVs and PVs, was used for simulations. the simulation results show that the proposed strategy achieves substantial savings, while reducing the peak load demand of the building. © 2024 IEEE.

关键词： Demand side management

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6th EAI international conference on Computer science and engineering on Digital Transformation in Organizations: New Challenges, COMPSE 2022

6th EAI International Conference on Computer Science and Eng...

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6th EAI international conference on Computer science and engineering on Digital Transformation in Organizations: New Challenges, COMPSE 2022

ISBN: (纸本)9783031347498

the proceedings contain 16 papers. the special focus in this conference is on EAI international conference on Computer science and engineering on Digital Transformation in Organizations: New Challenges. the topics include: A State of the Art of Non-fungible Tokens: A Literature Review;a Camera-Based Remote Sensor for Physical therapy in Parkinson’s Disease;health 4.0, Prevention, and Health Promotion in Companies: A Systematic Literature Review;Catastrophic Health Spending by COVID-19 in the Mexican Insurance Sector;modeling and Computer Simulation of Nanocomplexation for Cancer therapy;multiple Sensor Fusion for Stress Detection in the Hospital Environment;storage Location Assignment Problem in a Warehouse: A Literature Review;a Greenfield Analysis for Supply Chains Enhanced with Agent-Based Simulation;resilience in Supply Chains: A Strategy Based on Inventory Policies;intelligent Technology in Geometric Design;an Information Architecture for the engineering and Design of Industrial electrical Systems;optimized Packing Soft Convex Polygons;e-Commerce on Startup: A Systematic Literature Review;a Strategy to Analyze the Metal Packaging Market in the Food Cans Industry Using Agent-Based Simulation.

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Collaborative search and tracking based on dynamic map and information fusion for UAV swarm 6

Collaborative search and tracking based on dynamic map and i...

引用

6th international conference on Robotics, Intelligent control and Artificial Intelligence, RICAI 2024

作者： Ge, Yuechen Ni, Jianjun College of Information Science and Engineering Hohai University Changzhou213200 China College of Artificial Intelligence and Automation Hohai University Changzhou213200 China

ISBN: (纸本)9798331541699

To improve the accuracy and stability of multi-target tracking tasks for UAV swarm, a UAV scheduling method based on multi-agent reinforcement learning is proposed. In the proposed method, a multi-agent actor-critic with attention (MAAC) algorithm is proposed, which is used to optimize scheduling strategies effectively. By incorporating dynamic mapping and information fusion mechanisms, the UAV swarm can continuously update target histories, environmental search statuses, and UAV positions, to better perceive and adapt to the environment. Simulation results demonstrate that the proposed method outperforms traditional methods in tracking accuracy, response delay, and collision rate, especially in dynamic and communication-limited environments. © 2024 IEEE.

关键词： Information fusion

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Robust model predictive control based on FlexRay communication protocol 6

Robust model predictive control based on FlexRay communicati...

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6th international conference on Internet of things, automation and Artificial Intelligence, IoTAAI 2024

作者： Zhou, Min Yu, Yanye Wang, Jianhua Zuo, Jiawei Li, Huangju Huzhou University School of Engineering Huzhou China HuZhou Key Laboratory of Intelligent Sensing and Optimal Control of Industrial Systems Huzhou China

ISBN: (纸本)9798350386974

this study investigates robust model predictive control (RMPC) problem for a class of polytopic uncertain systems under the FlexRay protocol (FRP). the FRP, which is governed by both the time-triggered (Round-Robin protocol, RRP) and event-triggered (try-once-discard protocol, TODP) rules, is embedded into the shared communication network to orchestrate the transmission rule of the signals with different attributes, thereby further enhancing the transmission flexibility. the objective of this paper is to design a output feedback controller within the RMPC framework, providing sufffcient conditions for the recursive feasibility of the RMPC strategy and the asymptotical stability of the closed-loop system in terms of the token-dependent Lyapunov-like approach. Furthermore, an effective controller under the RMPC framework is derived by solving an online constrained optimization problem. Finally, the effectiveness of the model predictive control strategy is veriffed through numerical simulations. © 2024 IEEE.

关键词： Constrained optimization

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Resilient Robust Model Predictive control under Adaptive Event-Triggered Mechanism 6

Resilient Robust Model Predictive Control under Adaptive Eve...

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6th international conference on Internet of things, automation and Artificial Intelligence, IoTAAI 2024

作者： Yu, Yanye Li, Huangju Wang, Jianhua Zhou, Min Zuo, Jiawei Huzhou University School of Engineering Huzhou China Huzhou Key Laboratory of Intelligent Sensing and Optimal Control of Industrial Systems Huzhou China

ISBN: (纸本)9798350386974

the problem of resilient robust model predictive control (RMPC) with hard constraints based on an adaptive event-triggered mechanism for a class of polytopic uncertain systems is investigated in this article. To reduce the burden of network communication, a novel adaptive event-triggering mechanism is introduced between the sensor and the controller (S/C) network. the objective of this paper is to design a resilient RMPC controller while considering the system performance degradation caused by the adaptive event-triggered mechanism, aiming to maintain high system performance while conserving communication resources. Moreover, by solving an online optimization problem, sufficient conditions are obtained to ensure that all states of the system are in the time-varying terminal constraint set. To conclusively validate the efficacy of the proposed resilient RMPC algorithm under the adaptive event-triggered mechanism, we adopt a specific distillation parameter example for illustration. © 2024 IEEE.

关键词： Predictive control systems

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Global Fractional Second-Order Sliding Mode control for Underactuated Systems with Performance Constraint and Input Saturation 6

Global Fractional Second-Order Sliding Mode Control for Unde...

引用

6th international conference on Electronic engineering and Informatics, EEI 2024

作者： Li, Wanglong Liu, Xia School of Electrical Engineering and Electronic Information Xihua University Chengdu China

ISBN: (纸本)9798350353594

With more degrees of freedom and intrinsic structural constraints, underactuated systems present significant challenges in control. For underactuated systems with performance constraint and input saturation, a global fractional second-order sliding mode controller (GFSOSMC) is proposed. By designing the performance function and error transformation function, the position error can be constrained within a prescribed range. the fractional order calculus operators which convert the integer order differential and integral quantities into fractional order ones are introduced to the sliding mode surface. To omit the convergent mode and remain robustness throughout, the global sliding factor is introduced. With the fractional second-order sliding mode surface and the global sliding factor, the GFSOSMC is designed. then a hyperbolic tangent function is used to approach the input saturation. the proposed method not only addresses performance constraint and input saturation, but also effectively mitigates the chattering. Meanwhile, it enables the position and velocity to converge rapidly. © 2024 IEEE.

关键词： Sliding mode control

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Smart Factory Design Based on CoDeSys 6

Smart Factory Design Based on CoDeSys

引用

6th international conference on Information Communication and Signal Processing, ICICSP 2023

作者： Fu, Yuanshuang Gui, Wenna Song, Hao School of Electrical and Control Engineering North China University of Technology Beijing China

ISBN: (纸本)9798350339994

CoDeSys is a soft PLC to provide programming and development environment for automation control software platform, this paper uses the software features of CoDeSys to design a complete filling wisdom production line and simulation. the design of the production line is divided into five parts: warehouse unit, filling unit, capping unit, inspection unit and conveyor unit, several units together to complete the filling of bottled liquids, high efficiency and high quality to complete the production, to achieve automated production. Finally, this paper applies the simulation of the production line to the filling of medical iodine, and the soft PLC technology based on CoDeSys shows great advantages and potentials in improving the automation control of production. © 2023 IEEE.

关键词： CoDeSys filling production line Soft PLC technology

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Energy System Fault Reconstruction control Strategy Based on Multi-agent Deep Reinforcement Learning 6

Energy System Fault Reconstruction Control Strategy Based on...

引用

6th international conference on Energy, Power and Grid, ICEPG 2024

作者： Wei, Meng Zeng, Zemao Yin, Jingyuan Wu, Lixin Beijing China Institute of Electrical Engineering Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Jilin University School of Materials Science and Engineering Changchun China

ISBN: (纸本)9798350377798

In order to achieve intelligent management of faults in the energy system of stratospheric airships, this paper proposes an energy system fault reconstruction control strategy based on multi-agent deep reinforcement learning. For the architecture of distributed energy cabins, an agent is equipped for each energy cabin. Multiple agents share the same dueling double deep Qlearning (D3QN) strategy to accelerate the training process of the agents. A simulation environment was set up in the Gym of Open AI, and the results showed that the method proposed in this paper can effectively achieve rapid reconstruction of energy systems after single point and multi-point simultaneous failures. © 2024 IEEE.

关键词： Deep reinforcement learning

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Current control of EAST fast control power supply based on single neuron adaptive predictive PI 6

Current control of EAST fast control power supply based on s...

引用

6th IEEE international electrical and Energy conference, CIEEC 2023

作者： Huang, Haihong Chen, Zhao School of Electrical Engineering and Automation Hefei University of Technology Hefei China

ISBN: (纸本)9798350346671

the Experimental Advanced Superconducting Tokamak (EAST) is an important device developed by China to realize controllable nuclear fusion. the vertical displacement of plasma is controlled by the current output from EAST fast control power supply. Traditional PI control has shortcomings in current dynamic response. A single neuron adaptive predictive PI (SNAD-PPI) control algorithm is proposed to ensure fast and accurate current output. the adaptive structure is used combined with the single neuron structure to improve the problem of insufficient dynamic response under the control of fixed PI parameters. Advance tracking reference current is used as the adaptive objective function of tutor-supervised learning for setting PI parameters in a single neuron. the proportional adjustment coefficient and the proportional learning rate of single neuron adaptive control are adjusted in real time to realize fast convergence of single neuron. Outstanding current dynamic response performance compare to traditional PI control is verified by experiments. © 2023 IEEE.

关键词： Dynamic response

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Application of IPSO-WOA and P&O Algorithm in PV MPPT control System 6

Application of IPSO-WOA and P&O Algorithm in PV MPPT Control...

引用

6th IEEE international conference on automation, Electronics and electrical engineering, AUTEEE 2023

作者： Huang, Zewei Liu, Meijun Zhu, Boting Xie, Jirui Ling, Yujian Xiamen Institute of Technology Jimei District Department of Electrical Engineering Fujian Xiamen China Xiamen Huadian Switchgear Co. Ltd. Huli District Marketing Department Fujian Xiamen China

ISBN: (纸本)9798350305623

In the case of local shadows and changes in the environment, the output power characteristics of the PV arrays show a multi peak curve. the traditional MPPT control algorithm is easy to fall into the local optimum, while the control algorithm based on meta-heuristic can effectively jump out of the local optimum, but the tracking speed is slow. To solve the above problems, a PV MPPT control algorithm based on the combination of improved particle swarm optimization algorithm (IPSO), whale optimization algorithm (WOA) and perturbation observation method (P&O) is proposed. IPSO used nonlinear convergence factor to balance the relationship between global search and local optimization. WOA could increase the randomness of particles in the optimization process and effectively avoid falling into local optimization. IPSO-WOA was used to achieve the maximum power point tracking (MPPT), and then P&O was used to realize the stable output of maximum power. the control effect under uniform illumination, non-uniform illumination and dynamic illumination is simulated by Matlab. the simulation results show that the proposed control algorithm has better tracking effect and faster tracking speed. © 2023 IEEE.

关键词： IPSO_WOA MPPT multi-peak P&O

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