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A Two-layer Adaptive control Strategy for Photovoltaic Power in Different Scenarios 3

A Two-layer Adaptive Control Strategy for Photovoltaic Power...

引用

3rd International Conference on Energy engineering and Power Systems, EEPS 2023

作者： Wan, Yanghui Yan, Jiahao Chu, Tianfeng Li, Yaping Yuan, Kun Zhang, Kaifeng Southeast University Key Laboratory of Measurement and Control of Complex System of Engineering Ministry of Education Nanjing China Power Automation Department Nanjing China State Grid Liaoning Electric Power Co. Ltd. Electric Power Research Institute Shenyang China

ISBN: (纸本)9798350313857

Currently, control strategies for distributed photovoltaic (PV) power generation are relatively single and rigid, and cannot flexibly adapt to the diverse demands of power grids in different scenarios. Firstly, this paper analyzes the adaptive relationship between different dispatching demands, the regulation ability of distributed PV, and the characteristics of the local voltage. Secondly, for different scenarios, the coordinated controller determines the reference values of active power and reactive power given to the inverter. Thus, distributed PV power control modes which can adapt to different scenarios have been established. Then, these control modes can be classified into single control modes and compound control modes according to the complexity of scenario demands. On this basis, a specific two-layer adaptive control strategy and process of distributed PV power generation in a low-voltage distribution network are further proposed, which takes into account both external demands of the distribution network and the regulation ability of distributed PV. Finally, a case study is given to verify the rationality and effectiveness of the two-layer adaptive scenarios control strategy. This strategy can effectively improve the comprehensive support ability of distributed PV power generation towards the power grid in multiple scenarios, and improve the stable operation level of the regional power grid. © 2023 IEEE.

关键词： Reactive power

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control of Upper-Limb Power-Assist Exoskeleton Based on Motion Intention Recognition

Control of Upper-Limb Power-Assist Exoskeleton Based on Moti...

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2011 IEEE International Conference on Robotics and automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)

作者： Yongji Wang Jian Huang Weiguang Huo Jun Wu Lei Cheng Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Technol Engineering Research Center of Metallurgical Automation and Measurement Technology Ministry of Educa

Recognizing the user motion intention plays an important role in the study of power-assist robots. An intention-guided control strategy is proposed for the upper-limb power-assist exoskeleton. A force sensor system comprised of force sensing resistors (FSRs) is designed to online estimate the motion intention of user upper limb. A new concept called “intentional reaching direction (IRD)” is proposed to quantitatively describe this intention. Both the state model and the observation model of IRD are obtained by enumerating the upper limb behavior modes and analyzing the relationship between the measured force signals and the motion intention. Based on these two models, the IRD can be online inferred by applying filtering technology. Guided by the estimated IRD, an admittance control strategy is assumed to control the motions of three DC motors in the joints of the robotic arm. The effectiveness of the proposed approaches is finally confirmed by the experiments on a 3-DOF robotic exoskeleton.

关键词： Joints Exoskeletons Force Humans Robot sensing systems Jacobian matrices

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A soft sensor development for the estimation of benzene content in catalytic reformate

A soft sensor development for the estimation of benzene cont...

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Proceedings of the International Convention MIPRO

作者： Željka Ujević Andrijić Romano Karlović Boris Žeželj Department of Measurement and Process Control Faculty of Chemical Engineering and Technology Zagreb Croatia Process Automation Rijeka Refinery Kostrena Croatia

As vehicle emission standards become more stringent, there is an increasing need for continual monitoring of benzene content in gasoline. Since the on-line analyzers are often unavailable, and laboratory analyses are infrequently obtained, soft sensors for the estimation of benzene content of light reformate are developed. Soft sensors are developed using system identification methods. Experimental data is acquired from the refinery distributed control system (DCS) and include continuously measured variables and analyzer assays available on-line. In the present work, the development of a Finite Impulse Response (FIR) model, an Output Error (OE) model and an Auto-Regressive Model with Exogenous Inputs (ARX) model are presented. To overcome the problem of selecting the best model parameters by trial and error, genetic algorithm was used. Based on developed soft sensors, it is possible to entirely replace on-line analyzers with soft sensors by embedding the model in a DCS on-site.

关键词： Mathematical model Finite impulse response filter Predictive models Autoregressive processes Data models Estimation Adaptation models

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Exponential Stabilization for Linear Systems with Actuator Saturation Via Intermittent control

Exponential Stabilization for Linear Systems with Actuator S...

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第25届中国控制与决策会议

作者： Yijing Wang Weiyan Li Wenlong Yang Zhiqiang Zuo Michael Z. Q. Chen the Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Department of Mechanical Engineering The University of Hong Kong

ISBN: (纸本)9781467355339

The exponential stabilization problem of a class of linear systems with actuator saturation is addressed in this paper. In an approach different from the previous results where the continuous controllers are used all the time, here the periodically intermittent control is proposed to ensure the exponential stability of the closed-loop systems. An exponential stability criterion is suggested using the contractive invariant ellipsoid as an estimate of the domain of attraction. In addition, the exponential convergence rate is explicitly given. The feedback controller can also be designed by regarding the feedback gain as an additional variable. A numerical example is presented to illustrate the effectiveness of our theoretical analysis.

关键词： Exponential Stability, Intermittent control, Actuator Saturation, Domain of Attraction

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MADDPG Algorithm for Coordinated Welding of Multiple Robots

MADDPG Algorithm for Coordinated Welding of Multiple Robots

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作者： Weibin Chen Lei Hua Leixin Xu Benshun Zhang Mengmeng Li Tao Ma Yang-Yang Chen School of Automation Southeast University Robot Department Jiangsu Automation Research Institute School of Automation Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University

This paper deals with the coordinated welding problem of multi-robot systems by applying a deep reinforcement learning algorithm which is called multi-agent deep deterministic policy gradient(MADDPG).It is assumed that the states and actions of robots are continuous and each robot can only get local information of its neighbors.A novel reward composed of trajectory optimization,coordinated welding and collision avoidance is designed,which yield multi-robot systems to arrive the welding targets quickly,achieve the simultaneous welding for a weld line and avoid collision among *** results are provided to demonstrate the effectiveness of the proposed control algorithm.

关键词： Deep multi-agent reinforcement learning MADDPG Coordinated welding

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Multi-objective Optimization of A CCHP System Model Integrated with P2G for Decarbonization 6

Multi-objective Optimization of A CCHP System Model Integrat...

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6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022

作者： Wei, Pengyu Bamisile, Olusola Cai, Dongsheng Li, Jian Adun, Humphrey Huang, Qi Chengdu University of Technology School of Nuclear Technology and Automation Engineering Chengdu China University of Electronic Science and Technology of China Sichuan Provincial Key Lab of Power System Wide-area Measurement and Control Chengdu China Cyprus International University KKTC Energy Systems Engineering Department Mersin10 Turkey

ISBN: (纸本)9798350347159

To realize the dual carbon policy, the goal of energy saving, and emission reduction, it is important to develop ways to better promote the low carbon economic operation of energy systems. Therefore, this research proposes an optimal operation strategy considering the electric-gas-cooling-heat demand response. Considering the demand response of each participant, an integrated energy system model with photovoltaic, wind energy, and traditional grid as energy supply. Also, electric energy, natural gas, cooling, and heating subsystems with co-production are established. With minimizing the overall system operation cost and optimizing environmental protection, the improved particle swarm optimization algorithm is used to solve the multi-constrained objective optimization problem. Finally, the optimized model is tested. The results from this study show that the energy system under cogeneration can find a balance between economy and environmental friendliness, and provide a reference for the subsequent energy supply configuration. © 2022 IEEE.

关键词： Environmental protection

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LiDAR-Inertial-Encoder Fusion for Real-Time Simultaneous Localization and Mapping of Rubber Tire Gantry Cranes 43

LiDAR-Inertial-Encoder Fusion for Real-Time Simultaneous Loc...

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43rd Chinese control Conference, CCC 2024

作者： Yu, Wangchao Yang, Jun Su, Jinya Southeast University School of Automation Nanjing210096 China Southeast University Key Laboratory of Measurement and Control of Cse Ministry of Education Nanjing210096 China Loughborough University Department of Aeronautical and Automotive Engineering LeicestershireLE11 3TU United Kingdom

ISBN: (纸本)9789887581581

Simultaneous Localization and Mapping (SLAM) plays a vital role in ensuring port safety and efficiency by augmenting accurate, robust, and real-time perception. SLAM has been widely applied in automated guided vehicles in ports, there is still limited exploration into rubber tire gantry (RTG) crane applications. To address this gap, this paper introduces a robust SLAM framework for RTGs, leveraging a tightly coupled Iterated Error-State Kalman Filter to integrate multiple solid-state LiDARs with IMU and encoder measurements. The proposed approach, mainly encompassing preprocessing for sensor synchronization and a novel feature point based on LiDAR point cloud intensity, can significantly enhance system robustness. During prediction, the IMU first infers the system's state and de-skews the LiDAR point cloud with an initial estimate, which is then optimized using LiDAR observations in the update stage. Tested on extensive self-collected port datasets against the SOTA FAST-LIO2, the proposed method achieves considerable accuracy and robustness in RTG applications. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： Gantry cranes

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Container Distance Estimation for Automated RTG via Improved SOLOv2 Instance Segmentation 43

Container Distance Estimation for Automated RTG via Improved...

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43rd Chinese control Conference, CCC 2024

作者： Yu, Zhengtao Yang, Jun Su, Jinya Southeast University School of Automation Nanjing210096 China Southeast University Key Laboratory of Measurement and Control of CSE Ministry of Education Nanjing210096 China Loughborough University Department of Aeronautical and Automotive Engineering LoughboroughLE11 3TU United Kingdom

ISBN: (纸本)9789887581581

This study develops a simple real-time algorithm inferring the relative distance between containers stacked in operational yards and spreaders of Rubber Tire Gantry (RTG) in support of fully automated RTG operations in ports. The proposed scheme is based on SOLOv2 instance segmentation network with image captured by camera mounted on RTG driver's cab. Specifically, distance calculation is achieved by containers' surface recognition via instance segmentation and geometric information pertaining to the containers. To meet the dual demands of accuracy and reduced resource consumption, the original backbone network of SOLOv2, namely resnet18, is replaced by GhostNet. This substitution enables the extraction of multi-level feature maps for fusion, significantly reducing network complexity without sacrificing accuracy. The proposed algorithm is validated by comparative experiments on a self-curated real-life dataset, demonstrating a remarkable reduction of 91.6% in FLOPS and 55.7% in Params for the improved SOLOv2 framework. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： Image segmentation

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Modeling and Nonlinear Model Predictive control of Kite System for High Altitude Wind Energy Generation

Modeling and Nonlinear Model Predictive Control of Kite Syst...

引用

第三十三届中国控制会议

作者： Zhenhua Zhao Jun Yang Hong Yue Shihua Li School of Automation Southeast UniversityKey laboratory of measurement and control of CSEMinistry of Education Department of Electronic and Electrical Engineering University of Strathclyde

ISBN: (纸本)9781479947249

Kitenergy is an emerging technology in airborne wind energy(AWE) that captures high altitude wind energy(HAWE)by exploiting its controlled flight of tethered wings. Compared with its ground level counterparts, AWE has the advantages to harness wind energy with a higher efficiency and a more consistent behavior. Automatic control of the kite's airfoils is crucial to the proper running of kitenergy systems. In this paper, a control oriented model of a tethered kite system is developed step by step,and a simplified state-space model is established as a first attempt. Based on this model, a nonlinear model predictive controller(NMPC) is designed to track a pre-optimized figure-eight trajectory. The merits of the NMPC are validated by simulation studies on a practical-scale kitenergy system model.

关键词： Airborne wind energy(AWE),High-altitude wind energy(HAWE),Modeling of kite system,Nonlinear model predictive control(NMPC),Trajectory tracking

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Routing protocol for wireless sensor networks in home automation 8th

Routing protocol for wireless sensor networks in home automa...

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8th IFAC Conference on Fieldbuses and Networks in Industrial and Embedded Systems, FeT 2009

作者： Li, Xiao Hui Xu, Hong Qin Hong, Seung Ho Wang, Zhi Piao, Xiang Fan Engineering Research Center of Metallurgical Automation and Measurement Technology Ministry of Education Wuhan University of Science and Technology Wuhan Hubei430081 China State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou310027 China Department of Electronics Information and System Engineering Hanyang University 425-791 Korea Republic of Department of Electronic Information Engineering College of Science and Engineering Yanbian University Yanji133002 China

ISBN: (纸本)9781617825583

Home automation systems based on wireless sensor/actuator networks are characterized by diversity of node power sources, limited computational power, and mobility. We propose a routing protocol that fully uses the location of static nodes to limit the search for a route to a small zone based on the analysis of characteristics and requirements. The calculation of two different kinds of zone and the route discovery procedure are described in this paper. According to the environment of home automation, we compared the performance of our routing protocols with the ad-hoc on-demand distance-vector protocol using simulation and gave suggestions for zone selection. Simulation results showed that our routing protocol dramatically reduced the routing overhead and increased the reliability.

关键词： Routing protocols

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