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The Design and Research of Resistance Instrument in Ship Towing Test

The Design and Research of Resistance Instrument in Ship Tow...

引用

IEEE International Conference on Mechatronics and Automation

作者： Nan Li Nan Liu Xueqi Zhang Chao Cui National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin University of Technology Tianjin China Tianjin Baolai Precision Machinery Industry Group Co. Ltd Tianjin China

ISBN: (数字)9798350388077

ISBN: (纸本)9798350388084

Based on the requirements of ship resistance towing test, a strain gauge type of resistance instrument has been designed, which consisting of the frame, towing component, course component, measuring component, etc. The towing component is responsible for the towing movement of the ship model, and the course component is responsible for constructing different course angles in the test requirements. An automatic brake mechanism has been equipped in measuring component, which can ensure the stability and accuracy of the tension sensor in towing test. The strength limit on the key components of the resistance instrument has been calculated by finite element analysis software, the optimization has been used in vulnerable components, and the instrument strength and reliability has been insured in the test.

关键词： Resistance Instruments Force Strain measurement Stability analysis Finite element analysis Electrical resistance measurement

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Research on Autonomous Maneuvering Strategies of UAV Swarm for Saturation Attack

Research on Autonomous Maneuvering Strategies of UAV Swarm f...

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2022 IEEE International Conference on Unmanned systems, ICUS 2022

作者： Zhang, Tingting Zuo, Yi Zhang, Dongning Ding, Fei Huang, Jun Lin, Yun College of Command and Control Engineering Army Engineering University of the Pla Nanjing China Key Laboratory of Information System Requirements Nanjing China Fifty-fourth Research Institute of China Electronics Technology Group Corporation Shijiazhuang China Internet of Things Academy Nanjing University of Posts and Telecommunications Nanjing China Jsti Group Nanjing China Harbin Engineering University Department of Information and Communication Engineering Harbin China

ISBN: (数字)9781665484565

ISBN: (纸本)9781665484565

In order to solve the problem of unmanned aerial Vehicle (UAV) cluster saturation attack, the autonomous maneuver strategy of UAV is studied. Based on the distributed partial observable Markov decision process, the autonomous maneuver decision model of UAV is constructed, and the Recurrent Multi-Agent Deep Deterministic Policy Gradient (RMADDPG) is used to learn the maneuver strategy of UAV cluster saturation attack. Combined with the typical characteristics of saturation attack scenario, two reward functions of global reward and local reward for UAV maneuver are designed. The trained UAVs can effectively perform suicide saturation attack task. According to the mission target design evaluation index of saturation attack, the Monte Carlo analysis method is used to compare the proposed method with particle swarm optimization (PSO) algorithm in three aspects: inter aircraft collision avoidance, NFZ avoidance and simultaneous attack. The experimental results show that the trained UAVs can effectively perform the suicide saturation attack task under the condition of a small amount of communication, which provides a method for the application of multi-agent deep reinforcement learning to UAV cluster operations. © 2022 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Enhancing Power system Stability: A Machine Learning Approach with SVM, Random Forest and Deep Learning Utilizing Wide Area Measurements 7

Enhancing Power System Stability: A Machine Learning Approac...

引用

7th IEEE Student Conference on Electric Machines and systems, SCEMS 2024

作者： Song, Chao Tan, Mengcan Chu, Mingzhao Zhou, Chihan Tian, Guojie Mu, Longfei Shandong Future Intelligent Technology Co. Ltd Shandong Electrical Engineering & Equipment Group Co. Ltd Jinan China Fengtai Supply Company Distribution Operation and Maintenance Center State Grid Beijing Electric Power Company Beijing China State Grid Shandong Electric Power Company Changyi Supply Company Marketing Department Changyi China State Grid Kunming Power Supply Company Kunming China Shandong Tianyu Changtong Energy Group Co. Ltd. Qingdao China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (纸本)9798350366945

As the scale and complexity of modern power systems continue to expand, the importance of system stability has become increasingly critical. To ensure the stable operation of the power system, this paper proposes a power system stability analysis and optimal control strategy based on the Wide Area Measurement system (WAMS). Initially, a novel stability evaluation method is established using WAMS data and machine learning techniques, enabling effective handling of complex power system data and providing accurate stability assessments. Following this, an optimal control strategy is designed based on the evaluation method, aimed at real-time adjustments of power resource allocation to enhance system stability and responsiveness. Simulation analyses confirm the effectiveness and reliability of the proposed approach, indicating that the optimized control strategy significantly improves the system's performance under disturbances. This paper presents an innovative method for the stable operation of integrated power systems, contributing to the enhancement of power supply quality within the grid and ensuring the safe and efficient operation of the overall power system. © 2024 IEEE.

关键词： control system stability

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Design and Flight Test of a Compact and Rapidly-Deployable Air-Launched Inflatable-Winged Aircraft

Design and Flight Test of a Compact and Rapidly-Deployable A...

引用

AIAA Science and technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Ge, Hang Xu, Yixiang Sun, Donglei Chen, Xinmin Chen, Boyang School of Aerospace Faculty of Science and Engineering University of Nottingham Ningbo China Zhejiang Ningbo315100 China Department of Mechanical Materials and Manufacturing Engineering UNNC-NFTZ Blockchain Laboratory University of Nottingham Ningbo China Zhejiang Ningbo315100 China Advanced Intelligent Manufacturing Research Group Control System Lab University of Nottingham Ningbo China Zhejiang Ningbo315100 China Zhejiang Provincial Engineering Research Center of Special Aircraft Ningbo Institute of Materials Technology & Engineering Chinese Academy of Sciences Zhejiang Ningbo315100 China

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

In this research, a high-altitude, compact and rapidly deployable, air-launched, inflatablewinged aircraft is designed, developed, and flight-tested to investigate the flight characteristics of inflatable-winged aircraft as well as the in-flight inflation and dynamic deployment properties when launched from various carriers. To start with, two types of inflatable wings employing different materials have been designed, fabricated, and tested, the tests including structural characteristics tests, inflation properties tests, and low-Reynolds-number wind-tunnel tests. A full-scale 30-kilogram prototype unmanned aerial vehicle with inflatable wings was then designed, assembled and tested with some basic low-altitude flights to verify the feasibility of the aerodynamic layout and the trim and stability and control characteristics. Finally, low- and high-altitude in-flight launches will be conducted to study the dynamic deployment properties and high-altitude flight characteristics of this design. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Wind tunnels

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EFFICIENT STARSHADE RETARGETING ARCHITECTURE USING CHEMICAL PROPULSION

EFFICIENT STARSHADE RETARGETING ARCHITECTURE USING CHEMICAL ...

引用

AAS/AIAA Astrodynamics Specialist Conference, 2020

作者： Flinois, Thibault L. B. Seubert, Carl R. Scharf, Daniel P. Lisman, P. Douglas Payload/Instrument Pointing Control Analysis Group Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Dr. PasadenaCA91109 United States Spacecraft Guidance & Control Analysis Group Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Dr. PasadenaCA91109 United States Instrument System Engineering Group Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Dr. PasadenaCA91109 United States

ISBN: (纸本)9780877036753

NASA is studying a possible starshade flying in formation with the Nancy Grace Roman Space Telescope (Roman). The starshade would perform weeks-long translational retargeting maneuvers between target stars. A retargeting architecture is introduced that is based on chemical propulsion and does not require ground tracking or interactions with the telescope during the retargeting cruise. Feasibility is demonstrated through a verified covariance analysis of the starshade-telescope relative position over several weeks using realistic sensor and actuator assumptions. Performance is sufficient for Roman to reacquire the starshade after retargeting and the architecture is shown to also be applicable to other mission concepts such as the Habitable Exoplanet Observatory (HabEx). © 2021, Univelt Inc. All rights reserved.

关键词： Architecture

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Study on Modeling and Measurement technology of Dynamic Reactive Power Compensation Device for Renewable Energy Station 2

Study on Modeling and Measurement Technology of Dynamic Reac...

引用

2nd IEEE International Conference on Power, Electronics and Computer Applications, ICPECA 2022

作者： Zheng, Wei Zhang, Shishuai Pu, Hongyan Li, Yan Sun, Shiguang Chen, Yuchun Zhang, Dongchen Chang, Wei Group Headquarters Xinjiang Fukang Pumped Storage Co. Ltd. Fukang China Beijing Nanrui Digital Technology Co. Ltd. Guodian Nanrui Technology Co. Ltd. Beijing China Group Headquarters Beijing CSCC Technology and Development Co. Ltd Beijing China Conformity Assessment Department Institute of Technology and International Standard Co. Ltd. Beijing China Beijing NARI Technology Development Co. Ltd Guodian NARI Technology Co. Ltd. Beijing China Electricity Market Branch Beijing Kedong Electric Power Control System Co. Ltd. Beijing China Group Headquarters Beijing Nari Yihe Environmental Technology Co. Ltd. Beijing China

ISBN: (纸本)9781665442763

At present, the measurement and Modeling Research of power system mainly focuses on generator, excitation system, prime mover and its regulation system, power load and so on. However, there is relatively little research on the measured modeling of dynamic reactive power compensation device. In the simulation calculation of power system, the dynamic reactive power compensation device usually adopts a highly simplified model, or even ignores it. The accuracy and applicability of the model are limited, which directly affects the reactive power voltage regulation capacity of renewable energy stations and the consumption of renewable energy. Acceptance. There are great differences in the characteristics of the actual equipment, which may lead to the inconsistency between the calculation results and the actual situation, the relevant power grid planning and operation will lose the basis, and the power grid operation will face great hidden dangers. In the field of field measurement and modeling of power system, the dynamic reactive power compensation device of renewable energy station lacks field measurement and modeling technology, which can not meet the requirements of accurate modeling of power system and safe and stable operation of large power grid The operation of power grid will face great hidden dangers. It is urgent to study the model and parameter technology of dynamic reactive power compensation device in renewable energy station. © 2022 IEEE.

关键词： Renewable energy resources

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On Max Pressure Urban Traffic control with Learning

On Max Pressure Urban Traffic Control with Learning

引用

Information technology International Seminar (ITIS)

作者： Adiyana Putri Endra Joelianto Herman Y Sutarto Faculty of Industrial technology Institut Teknologi Bandung Doctoral Program of Engineering Physics Bandung Indonesia Faculty of Industrial Technology Institut Teknologi Bandung Instrumentation and Control Research Group Bandung Indonesia Department of Intelligent System PT. Pusat Riset Energi (PRE) Bandung Indonesia

Managing the traffic system is a multifaceted challenge, imposing various solutions to prevent congestion. Traffic management aims to create an efficient control system with numerous advantages, including reduced fuel emissions, lower stress levels, and enhanced driving discipline. Max Pressure stands as one of the techniques for traffic control, designed to adapt and enhance network throughput by considering pressure, defined as the difference between upstream and downstream queue lengths. Recent developments have yielded improved performance in Max Pressure through learning. In this adaptive control mechanism, the concept of Max Pressure is integrated as a reward function within reinforcement learning. This study introduces the “Max Pressure learning” concept, revealing its potential for creating adaptable traffic controllers. By modifying the pressure equation and transforming it into a performance metric, the original Max Pressure concept effectively responds to diverse traffic conditions. This paper showcases research findings demonstrating the surprising effectiveness of pressure as a control mechanism in the context of the learning process. Ultimately, using pressure enables controllers to efficiently alleviate gridlock situations in traffic, highlighting its promising role in optimizing traffic management and enhancing overall traffic system performance.

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Adaptive Multi-Core Real- Time Scheduling Based on Reinforcement Learning

Adaptive Multi-Core Real- Time Scheduling Based on Reinforce...

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International Conference on control and Automation (ICCA)

作者： Yonghui Liang Hui Li Fei Shen Qimin Xu Shuna Hua Shanying Zhu Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Engineering Re-search Center of Intelligent Control and Management Shanghai China Key Laboratory of Wireless Sensor Network and Communications Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai China North Information Control Research Academy Group Company Ltd. Nanjing China

ISBN: (数字)9798350354409

ISBN: (纸本)9798350354416

With the transformation towards industrial intel-ligence, multi-core processors are increasingly being applied in real-time networked control systems to ensure secure exe-cution of sensing, computing and actuating tasks under time constraints. However, existing scheduling methods result in either low CPU utilization or many missed task deadlines in dynamic systems. In this paper, we propose a two-layer scheduling architecture to address this issue by fully exploring the complex dependency between real-time tasks. To be specific, the local layer determines task execution priorities considering both dependency between tasks and deadline constraints by utilizing a reinforcement learning approach. Moreover, to better utilize the parallel capabilities of multi-core processors and reduce temporal collisions, this paper minimizes the requested core count for the task set based on a greedy strategy. The global layer designs a scheduling algorithm based on the pre-empt method and provides schedulability analysis of multiple task sets. Experimental results validate the correctness of the proposed scheduling approach, and efficiency is demonstrated through comparisons with baseline method.

关键词： Job shop scheduling Multicore processing Scheduling algorithms Networked control systems Reinforcement learning Real-time systems Sensors

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High-Precision Admittance control of Mechanical Arm Based on Force Sensor Compensation

High-Precision Admittance Control of Mechanical Arm Based on...

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Chinese control and Decision Conference, CCDC

作者： Yaohui Wu Jiangbo Zhao Junzheng Wang Xin Zhang Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of Technology Beijing China Key Laboratory of Servo Motion System Drive and Control Ministry of Industry and Information Technology School of Automation Beijing Institute of Technology Beijing China Technical Center Xinxing Cathay International Group Co. Ltd. Beijing China

ISBN: (纸本)9781665478977

Admittance control is one of the important methods of compliance control. It is performed by inputting force signals and outputting position signals. Position control can achieve high accuracy, but the force signals have large errors, which is an important factor affecting its accuracy. When the force sensor collects force data, there are non-negligible initial deviations due to gravity, installation, and other factors, resulting in poor admittance control accuracy. In order to solve this problem, this paper takes the six-degree-of-freedom manipulator admittance control as the research object. According to the mapping relationship between the end attitude and the sensor errors, we propose a method of obtaining the initial offset value of the sensor through data interpolation. This method traverses the initial values of the sensor in each working posture when the sensor has no external force input, and then performs secondary interpolation to obtain the offset values of the sensor in any posture, corrects the output values of the force/torque sensor, and then improve the accuracy of admittance control. The experimental results show that this method can quickly and effectively improve the calculation accuracy of the sensor’s initial deviation values and the admittance control accuracy.

关键词： Interpolation Attitude control Force Dynamics Position control Robot sensing systems Real-time systems

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A Model-Based control Framework for a Novel Combined Octopod Robot

A Model-Based Control Framework for a Novel Combined Octopod...

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WRC Symposium on Advanced Robotics and Automation (WRC SARA)

作者： Yi Zhang Lelai Zhou Jingyu Sun Shenglin Fan Guowei Li Mingjun Sui Xiaomeng Dai Yibin Li Center for Robotics School of Control Science and Engineering Shandong University Jinan China Ministry of Education Engineering Research Center of Intelligent Unmanned System Jinan China National Innovation Center of High-Speed Rail Technology (Qingdao) Qingdao China China Railway Construction Corporation Bridge Engineering Bureau Group Construction Assemble Technology Corporation Tianjin China China Railway Construction Bridge Engineering Bureau Group Tianjin China

ISBN: (数字)9798331506100

ISBN: (纸本)9798331506117

The legged robot with a waist structure has a more flexible body structure than that with a rigid body. To address the complexity of the waist structure, this paper proposes a lightweight combined octopod robot consisting of two quadruped robots connected back and forth by a novel detachable docking mechanism. To address the issue of performance loss caused by model predictive control (MPC) in high-dimensional nonlinear systems of octopod robots, a centralized control framework for nonlinear model predictive control (NMPC) and whole body control (WBC) is proposed to optimize the contact forces and joint torques. Apart from that, an attitude adaptation control strategy is designed in order to improve the traversing capability in the steep slope terrain. The combined octopod robot platform and motion control framework have been evaluated through a series of experiments, and the results show that the robot has excellent omnidirectional motion capability, as well as strong terrain adaptability and traversing ability in sloping terrain.

关键词： Legged locomotion Turning Complexity theory Quadrupedal robots Motion control Nonlinear systems Robots

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