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Simulation on model predictive control for PMSM drive system based on double extended state observer

Journal of Measurement Science and Instrumentation 2018年第4期9卷 380-387页

作者： CUI Hong-wei TENG Qing-fang ZHU Jian-guo GUO You-guang Department of Automation & Electrical Engineering Lanzhou Jiaotong University Lanzhou 730070 China Key Laboratory of Opto-technology and Intelligent Control (Lanzhou Jiaotong University) Ministry of Education Lanzhou 730070 China Faculty of Engineering and Information Technology University of Technology Sydney Sydney 2007 Australia

A novel double extended state observer(DESO)based on model predictive torque control(MPTC)strategy is developed for three-phase permanent magnet synchronous motor(PMSM)drive system without current *** general,to achieve high-precision control,two-phase current sensors are necessary for successful implementation of *** this purpose,two ESOs are used to estimate q-axis current and stator resistance respectively,and then based on this,d-axis current is ***,to reduce torque and flux ripple and to improve the performance of the torque and speed,MPTC strategy is *** simulation results validate the feasibility and effectiveness of the proposed scheme.

关键词： double extended state observer(DESO) model predictive torque control(MPTC) permanent magnet synchronous motor(PMSM)drive system without current sensor

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Kinematics and Error Analysis of Single Motor Driving Multi-Stage Metamorphic Mechanism

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IOP Conference Series: Materials Science and engineering 2019年第5期677卷

作者： Zhuang Ge Leichao Xie Shangkui Yang Shuyun Zhu Yongzhan Cao Yuwang Liu School of Mechanical Engineering and Automation Northeastern University Shenyang Liaoning China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang Liaoning China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang Liaoning China School of Automation and Electrical Engineering Shenyang Ligong University Shenyang Liaoning China Information and Control Engineering Faculty Shenyang Jianzhu University Shenyang Liaoning China

Traditional series robots have the disadvantages of complex structure and complicated control. Almost all of them have no adaptive ability. Although soft robots have good adaptive characteristics, they also have the limitations of poor bearing capacity and low stiffness. In addition, their motion trajectory and motion precision are difficult to achieve accurate control. In order to solve the above problems, based on a single motor-driving multi-stage metamorphic mechanism, this paper carries out kinematic analysis and error analysis to determine the motion trajectory and motion accuracy of the multi-stage metamorphic mechanism. And this paper uses ADAMS to carry out simulation calculation. Comparing the theoretical calculation results and simulation calculation results, and determining the errors between the multi-stage metamorphic mechanisms, so as to ensure the accurate position of the multi-stage metamorphic mechanism during work. The multi-stage metamorphic mechanism realizes stable and efficient work.

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Robust medical instrument segmentation challenge 2019

arXiv

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arXiv 2020年

作者： Roβ, Tobias Reinke, Annika Full, Peter M. Wagner, Martin Kenngott, Hannes Apitz, Martin Hempe, Hellena Filimon, Diana Mindroc Scholz, Patrick Tran, Thuy Nuong Bruno, Pierangela Arbelaéz, Pablo Bian, Gui-Bin Bodenstedt, Sebastian Bolmgren, Jon Lindström Bravo-Sánchez, Laura Chen, Hua-Bin González, Cristina Guo, Dong Halvorsen, Pål Heng, Pheng-Ann Hosgor, Enes Hou, Zeng-Guang Isensee, Fabian Jha, Debesh Jiang, Tingting Kirtac, Kadir Jin, Yueming Kletz, Sabrina Leger, Stefan Li, Zhixuan Maier-Hein, Klaus H. Ni, Zhen-Liang Riegler, Michael A. Schoeffmann, Klaus Shi, Ruohua Speidel, Stefanie Stenze, Michael Twick, Isabell Wang, Gutai Wang, Jiacheng Wang, Liansheng Wang, Lu Zhang, Yujie Zhou, Yan-Jie Zhu, Lei Wiesenfarth, Manuel Kopp-Schneider, Annette Müller-Stich, Beat P. Maier-Hein, Lena Heidelberg Germany University of Heidelberg Germany Heidelberg Germany Department of General Heidelberg University Hospital Visceral and Transplant Surgery Heidelberg Germany caresyntax Berlin Germany University of Chinese Academy Sciences Beijing China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China SimulaMet Oslo Norway Tromsø Norway Oslo Norway School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China Partner Site Dresden Heidelberg Germany Faculty of Medicine and University Hospital Carl Gustav Carus Technische Universität Dresden Dresden Germany Dresden Germany Universidad de Los Andes Bogotá Colombia Peking University Peking China Department of Computer Science School of Informatics Xiamen University Xiamen China Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong German Cancer Research Center Division of Biostatistics Heidelberg Germany Institute of Information Technology Klagenfurt University Austria

Intraoperative tracking of laparoscopic instruments is often a prerequisite for computer and roboticassisted interventions. While numerous methods for detecting, segmenting and tracking of medical instruments based on endoscopic video images have been proposed in the literature, key limitations remain to be addressed: Firstly, robustness, that is, the reliable performance of state-of-the-art methods when run on challenging images (e.g. in the presence of blood, smoke or motion artifacts). Secondly, generalization;algorithms trained for a specific intervention in a specific hospital should generalize to other interventions or institutions. In an effort to promote solutions for these limitations, we organized the Robust Medical Instrument Segmentation (ROBUST-MIS) challenge as an international benchmarking competition with a specific focus on the robustness and generalization capabilities of algorithms. For the first time in the field of endoscopic image processing, our challenge included a task on binary segmentation and also addressed multi-instance detection and segmentation. The challenge was based on a surgical data set comprising 10,040 annotated images acquired from a total of 30 surgical procedures from three different types of surgery. The validation of the competing methods for the three tasks (binary segmentation, multi-instance detection and multi-instance segmentation) was performed in three different stages with an increasing domain gap between the training and the test data. The results confirm the initial hypothesis, namely that algorithm performance degrades with an increasing domain gap. While the average detection and segmentation quality of the best-performing algorithms is high, future research should concentrate on detection and segmentation of small, crossing, moving and transparent instrument(s) (parts). Copyright © 2020, The Authors. All rights reserved.

关键词： Endoscopy

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control of multi-channel multiphase queuing system based on optimal aggregation methodology

Control of multi-channel multiphase queuing system based on ...

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International Scientific and Technical Conference on Computer Science and Information Technologies

作者： Taisa Borovska Inna Vernigora Irina Kolesnyk Andriy Kushnir Department of Computer Control Systems (CCS) Vinnytsia National Technical University Vinnytsia Ukraine Department of Computer Engineering (CE) Vinnytsia National Technical University Vinnytsia Ukraine Faculty of Computer Systems and Automation Vinnytsia National Technical University Vinnytsia Ukraine

The control systems of multi-channel multiphase queuing systems are considered. The control system is based on the methodology of optimal aggregation, therefore there are no restrictions on the form of the functions "costs, output" and probability distribution functions. The methods of optimal aggregation solve the optimization problem for continuous, discrete and integer functions of the class "costs, output". Processes for servicing the flow of objects has two modes: the absence and presence of queues. Software modules for analyzing and predicting of the requirements flow, optimal service in the presence and absence of queues are developed.

关键词： Service Queue Optimal aggregation Costs Output Probabilities distribution

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Evaluation of Human Postural System Dynamical Behavior via Developed Statokinesigram Trajectory

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IFAC-PapersOnLine 2017年第1期50卷 15062-15067页

作者： Barbolyas, B. Suttova, K. Vachalek, J. Belavy, C. Hucko, B. Dedik, L. Institute of automation measurement and applied informatics Faculty of Mechanical Engineering STU in Bratislava Nam. slobody 17 Bratislava812 31 Slovakia Laboratory of motor control Institute of Normal and Pathological Physiology Slovak Academy of Sciences Sienkiewiczova 1 Bratislava813 71 Slovakia Institute of applied mechanics and mechatronics Faculty of Mechanical Engineering STU in Bratislava Nam. Slobody 17 Bratislava812 31 Slovakia

Presented study deals with the formulation of a model of the postural system behavior in the form of transfer function derived from Development Statokinesigram Trajectory (DST). As compared with statokinesigram, a DST shows a minimal signs of chaotic behavior while it takes anteroposterior and mediolateral postural sway direction into account together. Proposed method provides an alternative approach to established methodology based on the Center of Pressure (CoP) in evaluating the autoregulation control process in humans. For demonstration of DST application, CoP signals of young and healthy participants without and with bilateral vibration stimulus located on Achilles tendons were registered. Data analysis involves DST construction and numerical parameter estimation of the proposed model. Quadratic criterion showed that there is a disproportion between actual and mean DST time profile that was proposed as a sensitive parameter of posture control quality in all tested subjects in quiet stance condition. © 2017

关键词： Quality control Tendons Biomedical systems Biosignals Center of pressure interpretation Model formulation Postural system

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Book review Introduction to Type-2 Fuzzy Logic control: Theory and Applications , Jerry Mendel , Hani Hagras , Woei-Wan Tan , William W. Melek , Hao Ying , Wiley–IEEE Press ( 2014 ) , ISBN: 978-1118278390

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Fuzzy Sets and Systems 2017年 306卷 169-170页

作者： Tufan Kumbasar Istanbul Technical University Faculty of Electrical and Electronics Engineering Control and Automation Engineering Department Maslak TR-34469 Istanbul Turkey

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Human intention estimation based on hidden Markov model motion validation for safe flexible robotized warehouses

arXiv

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arXiv 2018年

作者： Petković, Tomislav Puljiz, David Marković, Ivan Hein, Björn University of Zagreb Faculty of Electrical Engineering and Computing Department of Control and Computer Engineering Laboratory for Autonomous Systems and Mobile Robotics Unska 3 ZagrebHR-10000 Croatia Karlsruhe Institute of Technology Institute for Anthropomatics and Robotics Intelligent Process Automation and Robotics Lab Kaiserstraße 12 Deutschland KarlsruheDE-76131

With the substantial growth of logistics businesses the need for larger warehouses and their automation arises, thus using robots as assistants to human workers is becoming a priority. In order to operate efficiently and safely, robot assistants or the supervising system should recognize human intentions in real-time. Theory of mind (ToM) is an intuitive human conception of other humans' mental state, i.e., beliefs and desires, and how they cause behavior. In this paper we propose a ToM based human intention estimation algorithm for flexible robotized warehouses. We observe human's, i.e., worker's motion and validate it with respect to the goal locations using generalized Voronoi diagram based path planning. These observations are then processed by the proposed hidden Markov model framework which estimates worker intentions in an online manner, capable of handling changing environments. To test the proposed intention estimation we ran experiments in a real-world laboratory warehouse with a worker wearing Microsoft Hololens augmented reality glasses. Furthermore, in order to demonstrate the scalability of the approach to larger warehouses, we propose to use virtual reality digital warehouse twins in order to realistically simulate worker behavior. We conducted intention estimation experiments in the larger warehouse digital twin with up to 24 running robots. We demonstrate that the proposed framework estimates warehouse worker intentions precisely and in the end we discuss the experimental results. Copyright © 2018, The Authors. All rights reserved.

关键词： Virtual reality

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Smoothed State Estimation via Efficient Solution of Linear Equations

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IFAC-PapersOnLine 2017年第1期50卷 1613-1618页

作者： Geng L.-H. Ninness B. Wills A. Schön T. L.-H. Geng is with the Tianjin Key Laboratory of Information Sensing and Intelligent Control School of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin 300222 China Faculty of Engineering and Built Environment The University of Newcastle Callaghan NSW 2308 Australia Department of Information Technology Division of Systems and Control Uppsala University Uppsala 751 05 Sweden

This paper addresses the problem of computing fixed interval smoothed state estimates of a linear time varying Gaussian stochastic system. There already exist many algorithms that perform this computation, but all of them impose certain restrictions on system matrices in order for them to be applicable. This paper develops a new forwards–backwards pass algorithm that is applicable under the mildest restrictions possible - namely that the smoothed state distribtions exists in forms that can be characterised by means and covariances, for which this paper also develops a new necessary and sufficient condition. © 2017

关键词： Bayesian methods Estimation Filtering filtering smoothing Stochastic system identification

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The family house control system based on Raspberry Pi 21

The family house control system based on Raspberry Pi

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21st International Conference on Circuits, Systems, Communications and Computers, CSCC 2017

作者： Sysala, Tomas Fogl, David Neumann, Petr TBU in Zlin Dept. of Automation and Control Engineering Faculty of Appl. Informatics Nad Stranemi Zlin4511 Czech Republic TBU in Zlin Dept. of Electronics and Measurements Faculty of Applied Informatics Nad Stranemi 4511 Zlin Czech Republic

The article deals with the design and implementation of a smart household based on simple wireless modules, which are monitoring (collecting data) and controlling smart household supporting devices. The central unit processes measured parameters, and in relation to resulting values, a pre-set action is performed. Those actions variety can be configured by user via the user interface so that a set of smart rules for reaction on by household devices generated stimuli or problems can be created. That all together composes a control system based on Raspberry Pi, which manages indoor and outdoor temperature measurement, the lighting control, RF transmitter, jalousie, motion sensor control etc. There is a GUI for a PC and for a mobile phone as a part of that system. © The Authors, published by EDP Sciences, 2017.

关键词： control systems

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The impact of vocabulary size and language model order on the polish whispery speech recognition

The impact of vocabulary size and language model order on th...

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International Conference on Methods and Models in automation and Robotics (MMAR)

作者： Piotr Kozierski Talar Sadalla Szymon Drgas Adam Dąbrowski Joanna Zietkiewicz Poznan University of Technology Pozuan Faculty of Computing Institute of Automation and Robotics Faculty of Electrical Engineering Institute of Control

The article presents studies on the automatic whispery speech recognition. In the performed research a new corpus with whispery speech has been used. The aim of studies presented in this paper was to check, how the vocabulary size and the language model order influence on the speech recognition quality. It has been concluded that even using recordings with 5,000 different words only it is possible to prepare large vocabulary continuous speech recognition (LVCSR) model. It has been also found that the third order of language model is the best choice. The difference between normal and whispery speech is negligible and is manifested only in higher word error rate index (about 1.5 times higher for whispery speech).

关键词： Speech Speech recognition Vocabulary Training Hidden Markov models Error analysis

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