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Study on linear vibration model of shield TBM cutterhead driving system

International Journal of Acoustics and Vibrations 2014年第2期19卷 89-106页

作者： Li, Xianhong Yu, Haibin Zeng, Peng Yuan, Mingzhe Han, Jianda Sun, Lanxiang Key Laboratory of Industrial Control Network and System Shenyang Institute of Automation Chinese Academy of Sciences Shenyang Liaoning Province 110016 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang Liaoning Province 110016 China

In this paper, a general linear time-varying multiple-axis (LTVMA) vibration model of shield tunnel boring machine (TBM) cutterhead driving system is established. The corresponding multiple inputs and multiple outputs (MIMO) state-space model is also presented. The linear vibration model is analysed, and the vibration-torque transfer function matrix and the vibration-torque static gain matrix are obtained. The linear vibration model is simulated, and the physical parameters' effects on the vibration response are investigated. A preliminary approach is proposed to reduce vibration by increasing motor rotor inertia and viscous damped. The LTVMA vibration model provides a solid foundation for fault detection and diagnosis (FDD), as long as the health monitoring of cutterhead driving system.

关键词： Fault detection

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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge

arXiv

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arXiv 2018年

作者： Bakas, Spyridon Reyes, Mauricio Jakab, Andras Bauer, Stefan Rempfler, Markus Crimi, Alessandro Shinohara, Russell Takeshi Berger, Christoph Ha, Sung Min Rozycki, Martin Prastawa, Marcel Alberts, Esther Lipkova, Jana Freymann, John Kirby, Justin Bilello, Michel Fathallah-Shaykh, Hassan M. Wiest, Roland Kirschke, Jan Wiestler, Benedikt Colen, Rivka Kotrotsou, Aikaterini Lamontagne, Pamela Marcus, Daniel Milchenko, Mikhail Nazeri, Arash Weber, Marc-Andr Mahajan, Abhishek Baid, Ujjwal Gerstner, Elizabeth Kwon, Dongjin Acharya, Gagan Agarwal, Manu Alam, Mahbubul Albiol, Alberto Albiol, Antonio Albiol, Francisco J. Alex, Varghese Allinson, Nigel Amorim, Pedro H.A. Amrutkar, Abhijit Anand, Ganesh Andermatt, Simon Arbel, Tal Arbelaez, Pablo Avery, Aaron Azmat, Muneeza Pranjal, B. Bai, Wenjia Banerjee, Subhashis Barth, Bill Batchelder, Thomas Batmanghelich, Kayhan Battistella, Enzo Beers, Andrew Belyaev, Mikhail Bendszus, Martin Benson, Eze Bernal, Jose Bharath, Halandur Nagaraja Biros, George Bisdas, Sotirios Brown, James Cabezas, Mariano Cao, Shilei Cardoso, Jorge M. Carver, Eric N. Casamitjana, Adri Castillo, Laura Silvana Cat, Marcel Cattin, Philippe Cérigues, Albert Chagas, Vinicius S. Chandra, Siddhartha Chang, Yi-Ju Chang, Shiyu Chang, Ken Chazalon, Joseph Chen, Shengcong Chen, Wei Chen, Jefferson W. Chen, Zhaolin Cheng, Kun Choudhury, Ahana Roy Chylla, Roger Clrigues, Albert Colleman, Steven Colmeiro, Ramiro German Rodriguez Combalia, Marc Costa, Anthony Cui, Xiaomeng Dai, Zhenzhen Dai, Lutao Daza, Laura Alexandra Deutsch, Eric Ding, Changxing Dong, Chao Dong, Shidu Dudzik, Wojciech Eaton-Rosen, Zach Egan, Gary Escudero, Guilherme Estienne, Tho Everson, Richard Fabrizio, Jonathan Fan, Yong Fang, Longwei Feng, Xue Ferrante, Enzo Fidon, Lucas Fischer, Martin French, Andrew P. Fridman, Naomi Fu, Huan Fuentes, David Gao, Yaozong Gates, Evan Gering, David Gholami, Amir Gierke, Willi Glocker, Ben Gong, Mingming Gonzlez-Vill, Sandra Grosges, T. Guan, Yuanfang Guo, Sheng Gupta, Sudeep Han, Woo-Sup Han, Il Song Harmuth, Ko Center for Biomedical Image Computing and Analytics University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Institute for Surgical Technology and Biomechanics University of Bern Bern Switzerland Center for MR-Research University Children's Hospital Zurich Zurich Switzerland Support Centre for Advanced Neuroimaging Inselspital Institute for Diagnostic and Interventional Neuroradiology Bern University Hospital Bern Switzerland University Hospital of Zurich Zurich Switzerland Center for Clinical Epidemiology and Biostatistics University of Pennsylvania Philadelphia United States Image-Based Biomedical Modeling Group Technical University of Munich Munich Germany Icahn School of Medicine Mount Sinai Health System New YorkNY United States Leidos Biomedical Research Inc. Frederick National Laboratory for Cancer Research FrederickMD21701 United States Cancer Imaging Program National Cancer Institute National Institutes of Health BethesdaMD20814 United States Department of Neurology University of Alabama at Birmingham BirminghamAL United States Department of Diagnostic Radiology University of Texas MD Anderson Cancer Center HoustonTX United States Department of Psychology Washington University St. LouisMO United States Neuroimaging Informatics and Analysis Center Washington University St. LouisMO United States Department of Radiology Washington University St. LouisMO United States Institute of Diagnostic and Interventional Radiology Pediatric Radiology and Neuroradiology University Medical Center Rostock Ernst-Heydemann-Str. 6 Rostock18057 Germany Tata Memorial Centre Homi Bhabha National Institute Mumbai India Shri Guru Gobind Singhji Institute of Engineering and Technology Nanded India NVIDIA Santa Clara

Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invaded tissue, necrotic core, active and non-enhancing core. This intrinsic heterogeneity is also portrayed in their radio-phenotype, as their sub-regions are depicted by varying intensity profiles disseminated across multi-parametric magnetic resonance imaging (mpMRI) scans, reflecting varying biological properties. Their heterogeneous shape, extent, and location are some of the factors that make these tumors difficult to resect, and in some cases inoperable. The amount of resected tumor is a factor also considered in longitudinal scans, when evaluating the apparent tumor for potential diagnosis of progression. Furthermore, there is mounting evidence that accurate segmentation of the various tumor sub-regions can offer the basis for quantitative image analysis towards prediction of patient overall survival. This study assesses the state-of-the-art machine learning (ML) methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018. Specifically, we focus on i) evaluating segmentations of the various glioma sub-regions in pre-operative mpMRI scans, ii) assessing potential tumor progression by virtue of longitudinal growth of tumor sub-regions, beyond use of the RECIST/RANO criteria, and iii) predicting the overall survival from pre-operative mpMRI scans of patients that underwent gross total resection. Finally, we investigate the challenge of identifying the best ML algorithms for each of these tasks, considering that apart from being diverse on each instance of the challenge, the multi-institutional mpMRI BraTS dataset has also been a continuously evolving/growing dataset. Copyright © 2018, The Authors. All rights reserved.

关键词： Tumors

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Erratum to: Robust adaptive synchronization of general dynamical networks with multiple delays and uncertainties

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Pramana 2016年第6期86卷 1413-1413页

作者： LU, YIMING HE, PING MA, SHU-HUA LI, GUO-ZHI MOBAYBEN, SALEH Laboratory of Train Network Department of Train Control Tech. Research Center of Product & Tech. CRRC TANGSHAN CO. LTD Tangshan People’s Republic of China School of Information Science and Engineering Northeastern University Shenyang People’s Republic of China School of Automation and Electronic Information Sichuan University of Science and Engineering Zigong People’s Republic of China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin People’s Republic of China

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一种两自由度的压电-电磁复合能量收集器(英文)

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2014年第9期15卷 711-722页

作者： Hong-yan WANG Li-hua TANG Yuan GUO Xiao-biao SHAN Tao XIE College of Computer and Control Engineering Qiqihar University State Key Laboratory of Robotics and System Harbin Institute of Technology Department of Mechanical Engineering University of AucklandAuckland 1010 New Zealand

研究目的:对一种两自由度的压电-电磁复合能量收集器进行发电性能研究。创新要点:建立了一种两自由度压电-电磁复合能量收集器发电性能的数学模型,该数学模型可以评估两自由度压电-电磁复合能量收集器中压电元件、电磁元件以及系统总输... 详细信息

研究目的:对一种两自由度的压电-电磁复合能量收集器进行发电性能研究。创新要点:建立了一种两自由度压电-电磁复合能量收集器发电性能的数学模型,该数学模型可以评估两自由度压电-电磁复合能量收集器中压电元件、电磁元件以及系统总输出功率。研究方法:对一种两自由度的压电-电磁复合能量收集器进行数学建模,并实验验证数学模型的正确性。基于实验测试得到的系统参数值,理论研究压电元件和电磁元件的机电耦合系数对不同能量收集器发电性能的影响关系,并对几种能量收集器的发电能力进行对比分析。重要结论:对于非强耦合(弱或中间耦合)的两自由度机电转换器,复合能量收集器(压电+电磁)具有比单一能量收集器(压电或电磁)更高的发电能力。

关键词：振动复合能量收集两自由度模型压电电磁

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A new control method of quadruped robot walking on rough terrain based on linear inverted pendulum method

A new control method of quadruped robot walking on rough ter...

引用

IEEE International Conference on robotics and Biomimetics

作者： Xin Li Junyao Gao Qiang Huang Haojian Lu Zhe Xu Yi Liu Intelligent Robotics Institute Key Laboratory of Intelligent Control and Decision of Complex System Beijing China

ISBN: (纸本)9781479973989

This paper proposes a new method of linear inverted pendulum control, which is used to control the quadruped robot walking on regular uneven terrain such as ramp and stair, furthermore, this method can be applied to a more rugged terrain. This paper analyzes the dynamic parameters of a quadruped robot walking on the complex terrain, which means the supporting points of the robot lie in different heights relative to the level ground. In order to ensure the same leg length, there will be energy dissipation caused by the raise of the center of mass. Therefore this paper proposes a dual length linear inverted pendulum method (DLLIPM), which not only effectively reduces the energy dissipation, but also promotes the workspace utilization. In addition, Newton-Raphson algorithm is used to optimize the linear inverted pendulum movement, which makes the movement symmetrical and smooth. Finally this paper presents simulation results with DLLIPM on a quadruped robot with 16 degrees of freedom.

关键词： Legged locomotion Foot Trajectory Mathematical model Robot sensing systems

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Vision-based environmental perception and navigation of micro-intelligent vehicles 7

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7th International Conference on Intelligent systems and Knowledge Engineering, ISKE 2012 with 1st International Conference on Cognitive systems and Information Processing, CSIP 2012

作者： Yang, Ming Lu, Zhengchen Guo, Lindong Wang, Bing Wang, Chunxiang Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Research Institute of Robotics Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9783642378287

The adjustment of actual environmental traffic flow experiments is complicated and time-consuming. In this paper, a method based on micro-intelligent vehicles (micro-IV) is proposed to overcome these unfavorable factors. Vision-based environmental perception employed should be qualified for real-time and robust characteristics. An active vision approach based on visual selective attention is carried out to search regions of interest more efficiently for traffic light recognition. Corner detection based on histogram is applied for real-time location in autonomous parking. A method based on hierarchical topology maps is proposed to realize the navigation without GPS equipment. Experimental results show that the perception and navigation approaches work efficiently and effectively and micro-IV is suitable for traffic flow experiments. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Navigation

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Research on the control strategy of SEM based micro/nano tele-operation system

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Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument 2014年第11期35卷 2448-2457页

作者： Zhou, Jie Rong, Weibin Xu, Jinpeng Sun, Lining State Key laboratory Robotics and System Harbin Institute of Technology Harbin150080 China School of Electrical and Control Engineering Heilongjiang University of Science and Technology Harbin150022 China

In order to improve the tele-presence and stability of a scanning electron microscopy (SEM) based micro/nano tele-operation system, a sliding mode based impedance control scheme was proposed. Such a scheme features that impedance control strategy was applied to master to fulfill compliant control and sliding mode based impedance control strategy was adopted to slave to solve the parameter uncertainty problem. Tracking differentiator technology was integrated to the master/slave control strategy to obtain the derivative control signal of the micro/nano teleoperation system. Under the circumstance of low band and large gain of force feedback (105), the stability condition of micro/nano teleoperation system was derived from Liewellyn criterion. The good robustness and accurate force tele-presence of the proposed sliding mode control approach were verified by simulation and experimental results. The maximum displacement error is less than 0.5 μm during the location tracking process. The operator can precisely perceive 1 μN contact force from the slave. ©, 2014, Science Press. All right reserved.

关键词： Sliding mode control

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Immersion and Invariance based Adaptive Attitude Tracking control of a Quadrotor UAV in the Presence of Parametric Uncertainty

Immersion and Invariance based Adaptive Attitude Tracking Co...

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第三十三届中国控制会议

作者： Bo Zhao Bin Xian Yao Zhang Xu Zhang The Institute of Robotics and Autonomous System the Tianjin Key Laboratory of Process Measurement and ControlSchool of Electrical Engineering and Automation Tianjin University

ISBN: (纸本)9781479947249

In this paper, a new adaptive controller for a quadrotor unmanned aerial vehicle(UAV) is presented via Immersion and Invariance(I&I) approach. The quadrotor's dynamic model is subjected to some uncertain parameters such as the inertial moments, aerodynamic damping coefficients and so on. In particular, the mass-eccentric effects by the payloads are also *** all these uncertainties above, the proposed adaptive controller is still capable of driving the quadrotor UAV's attitude asymptotically to a desired trajectory. The stability analysis is performed by Lyapunov techniques and LaSalle's invariance theorem. Numerical simulation results illustrate the good tracking performance of the proposed scheme.

关键词： quadrotor,UAV,adaptive control,immersion and invariance,I&I

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Implementation and test of human-operated and human-like adaptive impedance controls on Baxter robot

Implementation and test of human-operated and human-like ada...

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15th Annual Conference on Advances in Autonomous robotics systems, TAROS 2014

作者： Liang, Peidong Yang, Chenguang Wang, Ning Li, Zhijun Li, Ruifeng Burdet, Etienne Centre for Robotics and Neural Systems School of Computing and Mathematics Plymouth University United Kingdom MOE Key Lab. of Autonomous System and Network Control College of Automation Science and Engineering South China University of Technology China State Key Laboratory of Robotics and System Harbin Institute of Technology China Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong Department of Bioengineering Imperial College of Science Technology and Medicine London United Kingdom

ISBN: (纸本)9783319104003

This paper presents an improved method to teleoperate impedance of a robot based on surface electromyography (EMG) and test it experimentally. Based on a linear mapping between EMG amplitude and stiffness, an incremental stiffness extraction method is developed, which uses instantaneous amplitude identified from EMG in a high frequency band, compensating for non-linear residual error in the linear mapping and preventing muscle fatigue from affecting the control. Experiments on one joint of the Baxter robot are carried out to test the approach in a disturbance attenuation task, and to compare it with automatic human-like impedance adaptation. The experimental results demonstrate that the new human operated impedance method is successful at attenuating disturbance, and results similarly to as automatic disturbance attenuation, thus demonstrating its efficiency. © 2014 Springer International Publishing.

关键词： Stiffness

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Hand motion recognition based on pressure distribution maps and LS-SVM

Hand motion recognition based on pressure distribution maps ...

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International Conference on Mechatronics and control (ICMC)

作者： Nan Li Shourong Wei Minfeng Wei Bo Liu Hong Huo Li Jiang National Key Laboratory of Science and Technology on Aerospace Intelligence Control Beijing Aerospace Automatic Control Institute Beijing China State Key Laboratory of Robotics and system Harbin Institute of Technology Harbin China

ISBN: (纸本)9781479925391

This paper presents a novel hand motion recognition method to achieve the volitional control of a multi-DOF prosthetic hand. Based on the principle that the pressure distributions on the surface of forearm caused by the muscular activities are different when different hand motions are performed, a human-machine interface (HMI) composed of 32 force sensitive resistor (FSR) sensors, measurement unit and recognition unit is designed to measure and classify the pressure distribution maps (PDM) of 9 typical hand motions. The least-squares support vector machine (LS-SVM) is adopted as the pattern recognition algorithm to classify the selected movement modes. The multi-subject experiment results show that the method can identify each motion with high accuracy.

关键词： Accuracy Sensor arrays Prosthetic hand Thumb Support vector machines

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