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Prediction of vibration radiation noise from shell of straw crushing machine

Noise and Vibration Worldwide 2021年第9期52卷 271-284页

作者： Xuejian, Lun Can, Li Zhiping, Zhai Yuezheng, Lan Shiming, Gan Inner Mongolia Key Laboratory of Special Service Intelligent Robotics College of Mechanical Engineering Inner Mongolia University of Technology Hohhot China

In order to predict the radiation noise of the vibrating shell of the straw crusher in the design phase, the computational fluid dynamics–discrete element coupling method is initially used to simulate the airflow–straw coupled flow field in the straw crusher, and the pulsating pressure generated by the coupled flow field is applied to the inner surface of the shell of the crusher. Then, the harmonic response of the shell is analyzed, and its results are used to be the acoustic boundary condition. Finally, the finite element and acoustic boundary element combined test methods are used to predict vibration noise of the straw crusher shell. The results indicate that the produced vibration noise of the straw crusher shell changes as the excitation frequency of the rotor rotation changes. The maximum vibration noise is achieved at the excitation fundamental frequency, and radiation noises at the harmonic frequencies decrease as the frequency increases. The simulated value of the sound pressure level of each measuring point at the excitation fundamental frequency and harmonic frequencies is basically the same as those of the experiment. Moreover, it is found that the maximum difference between the simulated and experimental value of measuring points is 1.69 dB(A). Therefore, it is concluded that the numerical model of the vibration radiation noise is accurate. The vibration noise of the shell at the inlet is the largest, and the main noise source of the vibration radiation noise is the dipole sound source of the rotating hammer rotor. The corresponding design method provides the reference for the low-noise design of straw crushers. © The Author(s) 2021.

关键词： Computational fluid dynamics

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Research on Online Detection Device and Method of Corn Grain Crushing Rate 1

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2nd World Conference on intelligent and 3D Technologies, WCI3DT 2023

作者： Yang, Liang Bai, Xiaoping Wang, Zhuo Zhao, Yongjia Wang, Sijia Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes of Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang100019 China Key Laboratory of Agricultural Equipment Intelligent Technology Liaoning Province Shenyang110016 China College of Engineering Shenyang Agricultural University Shenyang110866 China

ISBN: (数字)9789819970117

ISBN: (纸本)9789819970100

For the direct grain harvesting combined harvester, the grain crushing rate is one of its important parameters, but in the actual harvest, the corn grain crushing rate is difficult to detect online. Aiming at the research difficulty of online detection of corn grain crushing rate, this paper proposes a complete solution and designs and develops a prototype of the principle of corn grain online detection device. Machine vision technology combined with deep learning method is used to detect and analyze the corn grain crushing rate online. The online detection device for rice grain crushing rate is installed at the elevator of the grain direct harvesting combined harvester to carry out field experiments, and the field experiment results show that the corn grain crushing rate online detection device can be effectively realized, sampling and resampling on the grain direct harvesting combined harvester, and achieving a better single-layer tiling effect. Using deep learning methods, it can effectively identify broken corn kernels. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Grain (agricultural product)

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Modeling and Risk Analysis of Cooperative Adaptive Cruise Control Systems Based on Petri Nets and Distributed Edge Intelligence

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IEEE Internet of Things Journal 2025年第12期12卷 19995-20006页

作者： Yu, Wangyang Cheng, Yumeng Fang, Xianwen Zhai, Xiaojun Wang, Yinglong Jing, Hongyuan Shaanxi Normal University Chang'an District Key Laboratory of Intelligent Computing and Service Technology for Folk Song Ministry of Culture and Tourism Xi'an710119 China Shaanxi Normal University School of Computer Science Chang'an District Xi'an710119 China Anhui University of Science and Technology Anhui Province Engineering Laboratory for Big Data Analysis and Early Warning Technology of Coal Mine Safety Anhui232001 China University of Essex School of Computer Science and Electronic Engineering Colchester United Kingdom Beijing Union University College of Robotics Beijing100101 China

Fueled by advancements in intelligent transportation systems, the Internet of Vehicles (IoV) seeks to connect smart vehicles, road infrastructure, and users into a unified network, enhancing traffic efficiency and reducing accident risks. Centralized cloud data collection raises concerns about privacy and communication overhead. To address these, Distributed Edge Intelligence (DEI) reduces transmission costs and improves privacy by implementing machine learning at the network edge. In this context, Cooperative Adaptive Cruise Control (CACC) systems, combined with DEI in the IoV framework, enhance transportation system intelligence through real-time data processing and decentralized decision-making. This paper proposes a modeling and analysis method for CACC systems based on Petri nets. The datasets are automatically generated using tools developed by our team, and machine learning methods are utilized to perform risk prediction analysis on the CACC model. From the perspective of Petri nets synchronization, we propose risk mitigation strategies from a design standpoint. The research results show that the proposed method significantly reduces signal accumulation and enhances synchronization in CACC systems. This improvement provides new theoretical support and technical guidance for the design and implementation of CACC systems, ultimately enhancing their safety and reliability. © 2025 IEEE.

关键词： Adaptive cruise control

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Maize Kernels Endosperm Feature Extraction Based on Genetic Algorithm Image Enhancement 1

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2nd World Conference on intelligent and 3D Technologies, WCI3DT 2023

作者： Yang, Liang Wang, Zhuo Bai, Xiaoping Hao, Leyu Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes of Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang100019 China Key Laboratory of Agricultural Equipment Intelligent Technology Liaoning Province Shenyang110016 China College of Engineering Shenyang Agricultural University Shenyang110866 China

ISBN: (数字)9789819970117

ISBN: (纸本)9789819970100

Maize kernels endosperm is an important part of maize and has a close relationship with the physical characteristics of maize kernels, nutritional status, and post-breeding of maize. It also has important reference value in maize genetic analysis and variety identification. Therefore, this paper presents the endosperm character extraction of maize kernels based on genetic algorithm image enhancement. The experimental results show that the enhancement effect of the image based on the genetic algorithm is better than that of histogram equalization, which is propitious to the extraction of endosperm characteristics of maize kernels. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Image enhancement

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Tactile-Based Object Pose Estimation Employing Extended Kalman Filter 8

Tactile-Based Object Pose Estimation Employing Extended Kalm...

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8th IEEE International Conference on Advanced robotics and Mechatronics, ICARM 2023

作者： Lin, Qiguang Yan, Chaojie Li, Qiang Ling, Yonggen Zheng, Yu Lee, Wangwei Wan, Zhaoliang Huang, Bidan Liu, Xiaofeng College of IoT Engineering Hohai University Jiangsu Key Laboratory of Special Robotic Technology Jiangsu Changzhou213022 China Zhejiang University Institute of Cyber-System and Control State Key Laboratory of Industrial Control and Technology Hangzhou China Bielefeld33619 Germany Tencent Robotics X Shenzhen China School of Computer Science and Engineering Sun Yat-sen University Guangzhou China

ISBN: (纸本)9798350300178

In this paper, we present a new approach to estimate the pose of an object being manipulated by a multi-fingered robotic hand. The method utilizes advanced tactile sensors with high spatial resolution to optimize the estimation of the object's pose using an Extended Kalman Filter (EKF) based approach. We defined and derived the state and measurement equations, as well as evaluated the estimation accuracy in grasping tasks. The approach is able to effectively account for the pose transition caused by tactile pushing, and the mapping from the object's pose to the contact position and normal direction as measured by the tactile sensor. The method was evaluated in multiple grasping experiments in simulation scenarios. Results show that the estimation can converge towards the ground truth in a relatively short period of time, with displacement and rotation errors remaining within acceptable levels. This new method has the potential to improve the accuracy and reliability of robotic grasping and manipulation tasks. © 2023 IEEE.

关键词： Extended Kalman filters

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Wearable multichannel pulse condition monitoring system based on flexible pressure sensor arrays

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Microsystems & Nanoengineering 2022年第1期8卷 249-258页

作者： Jie Wang Yirun Zhu Zhiyong Wu Yunlin Zhang Jian Lin Tao Chen Huicong Liu Fengxia Wang Lining Sun Jiangsu Provincial Key Laboratory of Advanced Robotics School of Mechanical and Electric EngineeringSoochow UniversitySuzhou 215123China Micro Nano System Research Center Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education and Shanxi Province&College of Information EngineeringTaiyuan University of TechnologyTaiyuan 030024China Suzhou Institute of Nano-tech and Nanobionics Chinese Academy of SciencesSuzhou 215123China

Pulse diagnosis is an irreplaceable part of traditional Chinese medical ***,application of the traditional pulse monitoring method was restricted in the modernization of Chinese medical science since it was difficult to capture real signals and integrate obscure feelings with a modern data ***,a novel multichannel pulse monitoring platform based on traditional Chinese medical science pulse theory and wearable electronics was *** pulse sensing platform simultaneously detected pulse conditions at three pulse positions(Chi,Cun,and Guan).These signals were fitted to smooth surfaces to enable 3-dimensional pulse mapping,which vividly revealed the shape of the pulse length and width and compensated for the shortcomings of traditional single-point pulse ***,the pulse sensing system could measure the pulse signals from different individuals with different conditions and distinguish the differences in pulse *** addition,this system could provide full information on the temporal and spatial dimensions of a person’s pulse waveform,which is similar to the true feelings of doctors’*** innovative,cost-effective,easily designed pulse monitoring platform based on flexible pressure sensor arrays may provide novel applications in modernization of Chinese medical science or intelligent health care.

关键词： multichannel system replace

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Synthesis of Decoherence-Free Modes in Linear Quantum Passive Systems via Robust Pole Placement

Synthesis of Decoherence-Free Modes in Linear Quantum Passiv...

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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Miao, Zibo Pan, Yu Gao, Qing School of Mechanical Engineering and Automation Adaptive Robotics Harbin Institute of Technology Guangdong Key Laboratory of Intelligent Morphing Mechanisms Shenzhen518055 China The Institute of Cyber-Systems and Control College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China The School of Automation Science and Electrical Engineering Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing100191 China

ISBN: (纸本)9781665410205

In this paper we extend our previous research on coherent observer-based pole placement approach to study the synthesis of robust decoherence-free (DF) modes for linear quantum passive systems, which is aimed at preservation of quantum information. In particular, DF modes can be generated by placing the poles on the imaginary axis via a coherent feedback design scheme, and these modes can further be simultaneously made robust against perturbations to the system parameters by minimizing the condition number associated with imaginary poles. We develop explicit algebraic conditions for the existence of such a coherent quantum controller, with the corresponding deign procedure provided. Examples are given to illustrate the process of tuning the DF modes towards perfect robustness via the proposed pole placement technique. © 2024 IEEE.

关键词： Poles

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Dynamics Decoupling and Control of a 3-DOF Force-Controlled End-Effector Based on Force Sensors

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IEEE robotics and Automation Letters 2025年第7期10卷 7350-7357页

作者： Licheng Zhang Shuang Chen Chin-Yin Chen Yaohua Zhou Junjie Dai Guolong Zhang Weijun Wang Guilin Yang School of Mechanical and Electrical Engineering Jiangxi University of Science and Technology Ganzhou China Zhejiang Key Laboratory of Robotics and Intelligent Manufacturing Equipment Technology Ningbo Institute of Materials Technology and Engineering Ningbo China College of Science & Technology Ningbo University Ningbo China

A 3-DOF force-controlled end-effector based on a parallel mechanism is an effective approach for high-precision polishing in industrial applications. However, the dynamic modeling of rigid-flexible coupling in parallel mechanisms, as well as the decoupled control of friction and coupling forces, remains a challenging task. This letter proposes a dynamic decoupling control method for a 3-DOF force-controlled end-effector. The method utilizes multiple force sensors to acquire joint forces in the end-effector’s active joints. It compensates for internal coupling and frictional forces from components such as the branch links and slide rails, thus eliminating the need for a complex dynamic model. The proposed method is validated within a force-position hybrid control framework combined with a decoupling controller. Experimental results demonstrate the significant advantages of this method in terms of transient force response and steady-state force tracking. Moreover, the decoupling method using force sensors has been shown to improve positional accuracy. This approach enhances the end-effector’s force control and positional accuracy without requiring a complex dynamic model.

关键词： Force Springs Dynamics Friction End effectors Couplings Force sensors Nitrogen Motors Accuracy

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Research on hybrid flow-shop scheduling based on improved genetic algorithm 18

Research on hybrid flow-shop scheduling based on improved ge...

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18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023

作者： Chen, Haopeng Fang, Zaojun Zhong, Caiming Ningbo University Ningbo Institute of Materials & Technology Engineering Chinese & Academy of Sciences Faculty of Electrical Engineering and Computer Science Ningbo China Chinese & Academy of Sciences Zhejiang Key Laboratory of Robotics and Intelligent Manufacturing Equipment Technology Ningbo Institute of Materials & Technology Engineering Ningbo China Ningbo University College of Science & Technology Ningbo China

ISBN: (纸本)9798350312201

Aiming at the scheduling problem in the production process of hybrid flow-shop, a hybrid flow-shop scheduling model with the objective of minimizing the makespan is established, and a neighborhood search adaptive genetic algorithm (NSAGA) based on heuristic decoding strategy is proposed. An encoding strategy based on the first stage processing sequence and a decoding strategy based on a heuristic rule are used to guide the algorithm to find the optimal solution quickly. In order to speed up the convergence of the algorithm, the elitism strategy is introduced into the genetic operation, and adaptive crossover and mutation strategy based on sigmoid function is designed. In order to enhance the local search capability of the algorithm, a neighborhood search strategy is designed. Finally, the effectiveness and superiority of NSAGA for solving the hybrid flow-shop scheduling problem (HFSP) with different scales are verified by simulation experiments. © 2023 IEEE.

关键词： Genetic algorithms

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Position control of humanoid thorax based on fuzzy PID controller 18

Position control of humanoid thorax based on fuzzy PID contr...

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18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023

作者： Fang, Siyuan Fang, Zaojun Peng, Chengbin Zhang, Chi Yang, Guiling Ningbo University Ningbo Institute of Materials & Technology Engineering Chinese & Academy of Sciences Faculty of Electrical Engineering and Computer Science Ningbo China Chinese & Academy of Sciences Zhejiang Key Laboratory of Robotics and Intelligent Manufacturing Equipment Technology Ningbo Institute of Materials & Technology Engineering Ningbo China Ningbo University College of Science & Technology Ningbo China

ISBN: (纸本)9798350312201

Respiration is the most notable vital sign of humans so that it is usually employed to diagnose disease in medicine. Recently, a solution is proposed to decrease the cost of healthcare using flexible stretchable sensors to monitor respiration. However, the sensor is difficult to test millions of cycles on a real human body, which is essential to ensure accuracy and repeatability in practical applications. In this paper, a new humanoid thoracic cavity that mimics rib expansion/constriction is exhibited. Then, a position control based on Fuzzy PID method is presented. Focused on the scenario, the performance between the common PID method and the Fuzzy PID method is investigated. Firstly, the position control based on the Fuzzy PID method is constructed by utilizing position output error and its rate. Then, three gain parameters of PID are adjusted online according to the established fuzzy rules. Finally, the above two methods are compared by simulation and experiments. In a simulation, the fuzzy PID control algorithm improves the response speed, shortens the adjustment time, and meets the requirements of the system for high response and high accuracy. Besides, an experiment is carried out on a humanoid chest prototype. the results show that the control period of the presented method is shortened by about 50% v.s. the traditional PID under the step signal input. Tracking marked points using a laser tracker, the maximum tracking error is 0.0523 mm, the minimum error is 0.0450 mm, and the average error is 0.0473mm. Therefore, the presented method is validated to improve the performance of the humanoid chest. © 2023 IEEE.

关键词： Position control

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