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research on the autonomous system of the quadruped robot with a manipulator to realize leader-following,object recognition,navigation and operation

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IET Cyber-systems and Robotics 2022年第4期4卷 376-388页

作者： Jiamin Guo Hui Chai Yibin Li Qin Zhang Zhiying Wang Jialin Zhang Qifan Zhang Haoning Zhao School of Control Science and Engineering Shandong UniversityJinanChina Engineering Research Center of Intelligent Unmanned System Ministry of EducationShandong UniversityJinanChina School of Electrical Engineering University of JinanJinanChina

A systematic solution is developed to improve the autonomous capability of the quadruped robot with a manipulator,such as navigation,recognition and *** developed system adopts novel software,hardware system and system architecture,including a specially designed environment awareness system(EAS).Based on the camera and LiDAR on the EAS,the recognition of multiple common targets,such as the leader,door,window and bag,is *** terms of navigation,a location method is built,that combines the laser odometer and global positioning system.A mapping and path planning module is designed by the Robot-centric Elevation Mapping algorithm and the rapidly exploring rand tree *** operation,a real-time target grasp detection system is proposed based on the You Only Look Once v5 algorithm to improve the success rate of *** whole system is integrated based on the task relevance scheduling strategy to reduce the computational *** tightly integrated system and the subsystems are evaluated by conducting simulations and physical experiments in robot recognition,navigation and *** experiments show that the proposed framework can better achieve the autonomous navigation and operation of the quadruped robot with a ***,the proposed framework is still effective when facing dynamic *** addition,the system can be easily extended to other forms of mobile robot.

关键词： environment awareness system leader-following navigation quadruped robot

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Swarm-Based Dynamic Coverage of Multi-ASV systems in the Presence of Measurement Noises

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IEEE Transactions on Vehicular technology 2025年第5期74卷 7237-7250页

作者： Liu, Lu Jiao, Shijian Han, Bing Li, Tieshan Peng, Zhouhua Dalian Maritime University School of Marine Electrical Engineering Dalian116026 China Dalian Key Laboratory of Swarm Control and Electrical Technology for Intelligent Ships Dalian116026 China State Key Laboratory of Maritime Technology and Safety Dalian116026 China Shanghai Ship and Shipping Research Institute National Engineering Research Center of Ship & Shipping Control System Shanghai200135 China University of Electronic Science and Technology of China School of Automation Engineering Chengdu611731 China

This paper is concerned with the dynamic coverage of multiple autonomous surface vehicles (ASVs) in the presence of static and dynamic obstacles, limited communication distance, and measurement noises. A modular control method including planning, guidance, and control is proposed. At the planning level, a swarm-based dynamic coverage strategy is developed to achieve the coverage of a given domain. Both the collision avoidance and connectivity preservation issues are solved by using artificial potential fields. At the kinematic level, novel adaptive line-of-sight guidance laws are presented based on cascade extended state observers (CESOs), such that accurate guidance signals are given by compensating for time-varying sideslip angle and suppressing measurement noises. At the kinetic level, two CESOs are developed to estimate the internal model uncertainties and external environmental disturbance, and antidisturbance kinetic control laws are designed subsequently. The proposed CESOs overcome the noises sensitivity problem of classical observers, and thus facilitate the practical implementation under measurement noises. The input-to-state stability of the closed-loop system is confirmed by the Lyapunov theory and cascade stability theory. Simulation and hardware-in-the-loop experiment results are provided to demonstrate the effectiveness of the proposed swarm-based dynamic coverage method. © 1967-2012 IEEE.

关键词： Velocity measurement

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Task-Level intelligent Human-Robot Interaction for Assisting Multi-objective Autonomous Grasping Decision with Quadruped Robots

Task-Level Intelligent Human-Robot Interaction for Assisting...

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2023 IEEE International Conference on Robotics and Biomimetics, ROBIO 2023

作者： Zhang, Qifan Guo, Jiamin Chai, Hui Zhang, Guoxuan Yang, Zhiyuan Yuan, Ming Zhang, Qin Li, Yueyang Li, Yibin Shandong University School of Control Science and Engineering Jinan China Shandong University Engineering Research Center of Intelligent Unmanned System Ministry of Education Jinan China University of Jinan School of Electrical Engineering China

ISBN: (纸本)9798350325706

In hazardous explosive disposal scenarios, the autonomous grasping system of quadruped robots demonstrated limited task-level decision-making capabilities and exhibited minimal human-robot interaction (HRI). This paper proposes a task-level intelligent HRI approach, aiming to assist the quadruped robots making multi-object grasping decisions. Following the principle of natural HRI, we design a control terminal equipped with a touch screen. The control terminal receives the video stream from the robot's primary field of view via a video transmitter. We develop a graphical user interface (GUI) that decodes and displays the image, allowing the operator to interact naturally by touch and select a specific point in the image as the search center point. We employ the shortest Euclidean distance principle, enabling the target recognition module to search around the selected center point. Subsequently, the autonomous grasping system determines the grasping target and initiates the tasks of path planning and grasping detection. Real-world experiments involving multi-target autonomous grasping are conducted to validate the effectiveness of the proposed HRI method and address the challenge of decision making in scenarios with multiple targets. Furthermore, this method can be readily extended to other types of mobile robots. © 2023 IEEE.

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Pattern Matching of Industrial Alarm Floods Using Word Embedding and Dynamic Time Warping

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IEEE/CAA Journal of Automatica Sinica 2023年第4期10卷 1096-1098页

作者： Wenkai Hu Xiangxiang Zhang Jiandong Wang Guang Yang Yuxin Cai School of Automation China University of GeosciencesWuhan 430074Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex SystemsWuhan 430074 Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of EducationWuhan 430074China College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China

Dear Editor,This letter proposes a new pattern matching method based on word embedding and dynamic time warping(DTW)to identify groups of similar alarm ***,alarm messages are transformed into numeric values that represent alarms and also reflect the relationships between alarm ***,similarities between numerically encoded alarm flood sequences are calculated by DTW and groups of similar floods are identified via *** effectiveness of the proposed method is demonstrated by a case study with alarm&event data obtained from a public industrial simulation model.

关键词： Word Alarm DTW

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Modified multi-scale symbolic dynamic entropy and fuzzy broad learning-based fast fault diagnosis of railway point machines

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Transportation Safety and Environment 2023年第4期5卷 1-7页

作者： Junqi Liu Tao Wen Guo Xie Yuan Cao Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an University of TechnologyXi’an 710048ShaanxiChina School of Electronic and Information Engineering Beijing Jiaotong UniversityBeijing 100044China National Engineering Research Center of Rail Transportation Operation Control System Beijing Jiaotong UniversityBeijing 100044China

Railway point machine(RPM)condition monitoring has attracted engineers’attention for safe train operation and accident *** realize the fast and accurate fault diagnosis of RPMs,this paper proposes a method based on entropy measurement and broad learning system(BLS).Firstly,the modified multi-scale symbolic dynamic entropy(MMSDE)module extracts dynamic characteristics from the collected acoustic signals as entropy ***,the fuzzy BLS takes the above entropy features as input to complete model *** BLS introduces the Takagi-Sug eno fuzzy system into BLS,which improves the model’s classification performance while considering computational *** results indicate that the proposed method significantly reduces the running time while maintaining high accuracy.

关键词： railway point machine(RPM) fault diagnosis modified multi-scale symbolic dynamic entropy(MMSDE) fuzzy board learning system(BLS)

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Voltage control for Black-Start Based on Energy Storage Station and Wind Farm 4

Voltage Control for Black-Start Based on Energy Storage Stat...

引用

4th International Conference on intelligent Power and systems, ICIPS 2024

作者： Zhu, Yuanzhen Wei, Xinyu Li, Tianshu Chen, Yiheng Zhou, Ning Fang, Qiao Zhao, Kang Sun, Runjia State Grid Shandong Electric Power Company Electric Power Science Research Institute Shandong Smart Grid Technology Innovation Center Jinan China Key Laboratory of Power System Intelligent Dispatch and Control The Ministry of Education Jinan China

ISBN: (纸本)9798331532765

Energy storage station (ESS) and wind farm (WF) have the potential to serve as a black-start sources to accelerate the power system restoration after blackout. However, the voltage security problem when start the auxiliary machines of power plants limit their reliability as black-start sources. A voltage control method is proposed for ESS and WF combined black-start sources to improve the voltage security during black-start. Firstly, the black-start process based on grid-forming ESS and WF is presented, and the voltage control framework is established. Then, a predictive control method considering the impact of active power on voltage variations is proposed, in which different optimization modes are established to obtain the active and reactive control sequences for WF and ESS. Finally, black-start simulation with Matlab/Simulink demonstrate the proposed method can improve the voltage security level when starting auxiliary machines of power plants. © 2024 IEEE.

关键词： Predictive control systems

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Prediction of NO_(x)concentration using modular long short-term memory neural network for municipal solid waste incineration

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Chinese Journal of Chemical engineering 2023年第4期56卷 46-57页

作者： Haoshan Duan Xi Meng Jian Tang Junfei Qiao Faculty of Information Technology Beijing University of TechnologyBeijing 100124China Beijing Laboratory of Smart Environmental Protection Beijing 100124China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing 100124China Engineering Research Center of Intelligence Perception and Autonomous Control Ministry of Education Beijing 100124China

Air pollution control poses a major problem in the implementation of municipal solid waste incineration(MSWI).Accurate prediction of nitrogen oxides(NO_(x))concentration plays an important role in efficient NO_(x)emission *** this study,a modular long short-term memory(M-LSTM)network is developed to design an efficient prediction model for NO_(x)***,the fuzzy C means(FCM)algorithm is utilized to divide the task into several sub-tasks,aiming to realize the divide-and-conquer ability for complex ***,long short-term memory(LSTM)neural networks are applied to tackle corresponding sub-tasks,which can improve the prediction accuracy of the ***,a cooperative decision strategy is designed to guarantee the generalization performance during the testing or application ***,after being evaluated by a benchmark simulation,the proposed method is applied to a real MSWI *** the experimental results demonstrate the considerable prediction ability of the M-LSTM network.

关键词： Municipal solid waste incineration NO_(x)concentration prediction Modular neural network Model

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Fair Incentive Allocation for Secure Data Sharing in Blockchain systems: A Shapley Value Based Mechanism 3rd

Fair Incentive Allocation for Secure Data Sharing in Block...

引用

3rd International Conference on Autonomous Unmanned systems, ICAUS 2023

作者： Yang, Ming Feng, Honglin Wang, Xin Jiao, Xuguo Wu, Xiaoming Qin, Shuwei Jinan China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China School of Information and Control Engineering Qingdao University of Technology Qingdao China State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China Department of Public Security of Shandong Province Shandong Intelligent Public Security Joint Innovation Center Jinan China

ISBN: (纸本)9789819710829

In the contemporary era of information technology, the exponential surge in data has rendered colossal potential value, which would be fully unlocked through data circulation and sharing. However, when the data contains sensitive information, special attention must be paid to the data privacy and security problem for data sharing. A feasible solution is to incorporate blockchain technology into the data sharing system, and the new challenge is how to provide fair rewards for data owners to motivate them to contribute data. To address this challenge, in this paper, we first design a blockchain-based data sharing system to enhance the trust and reliability of the data shared among participants. Then we propose an incentive allocation method based on the Shapley value, which comprehensively incorporates each participant’s contribution while ensuring fairness for the allocation. Finally, multiple numerical simulations are conducted to validate the effectiveness of the proposed mechanism. © Beijing HIWING Scientific and Technological Information Institute 2024.

关键词： Blockchain

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Anti-Disturbance Formation control of Quadrotor UAVs Based on Terminal Sliding Mode control

Anti-Disturbance Formation Control of Quadrotor UAVs Based o...

引用

2023 China Automation Congress, CAC 2023

作者： Xin, Ying Ni, Hao Huang, Zihao He, Yongning Xia, Sigang Shanghai Aerospace Control Technology Institute Intelligent Flight Control Technology Research and Development Center Shanghai China Shanghai Institute of Mechanical and Electrical Engineering Electrical System Laboratory Shanghai China

ISBN: (纸本)9798350303759

In this paper, the anti-disturbance formation flight control of quadrotor UAVs system is realized based on terminal sliding mode control. The generalized error state is designed for each quad-rotor UA V, based on which the formation control target is proposed. In order to achieve the goal of anti-disturbance formation control, a formation controller based on terminal sliding mode control is designed. Finally, the general error states of all quadrotor UAVs converge to zero to achieve the desired formation. Finally, a simulation example is given to verify the effectiveness of the proposed algorithm. © 2023 IEEE.

关键词： Multi agent systems

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Development of a PLCopen-Based controller for Flexible Fatigue Test Applications 30

Development of a PLCopen-Based Controller for Flexible Fatig...

引用

30th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2024

作者： Lyu, Xiaofan Wang, Pingjiang Gao, Chaoyang Zhao, Donglin Wei, Peng Luo, Wenbin Huazhong University of Science and Technology School of Mechanical Science and Engineering Wuhan China Quanzhou Hust Research Institute of Intelligent Manufacturing QuanZhou China Huazhong University of Science and Technology National Numerical Control System Engineering Research Center Wuhan China

ISBN: (纸本)9798350391916

Aiming at the flexibility and reconfigurability needs for fatigue test applications, the demand for a PLCopen-based development framework arises. In this study, we utilize the IEC 61131-3 programmable language and PLCopen specifications to design the controller for electro-hydraulic servo loading system. Firstly, PLCopen group function block diagrams are proposed in accordance with experiments. Multiple groups can manage different experiments simultaneously. Then, PLCopen channel function block diagrams are designed to manage district channels in a group. To correct tracking errors, each channel incorporates a peak-valley phase compensator. Peak-valley phase compensator could potentially be used to adjust for multi-frequency sinusoidal spectrum. Finally, simulation and experiment results verify that tracking error could be kept within a defined neighbourhood region. © 2024 IEEE.

关键词： Fatigue testing

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