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International Conference on control, Instrumentation, and Automation

作者： P. Anahita Moradmand Hamid Khaloozadeh Center of Excellence in Control and Robotics Department of Electrical Engineering Amirkabir University of Technology(AUT) Tehran Iran +98 Department of Systems and Control K. N. Toosi University of Technology(KNTU) Tehran Iran

ISBN: (纸本)9781538621356

To design model-based controllers for industrial systems, an accurate mathematical model is necessary. Over time, most of these models are changed and the former controllers should be modified to achieve good performance. Hydro systems, according to their wide application over last forty years, are an interesting field of research. In this paper, based on the system identification and adaptive control theory, a special scheme for modeling and controller design of an old ElectroHydro servo-system is proposed. Industrial process control suffering from noise and saturation as two main problematic factors. Here by conducting an experiment, the identification and control are employed in linear period of the nonlinear system. To specify the order of system, Matlab Ident toolbox, Hankel matrix and Hankel singular values are used. Recursive Least Square (RLS) method is implemented to determine estimated parameters. Designing a practical self-tuning regulator is a significant task too. Due to the inappropriate results of controlled system, a corrected regulator is generated. Finally, acceptable simulations are recorded and demonstrated.

关键词： Mathematical model Adaptation models control systems System identification Adaptive control MATLAB Hydraulic systems

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Spacecraft heath monitoring using a biomimetic fault diagnosis scheme

Spacecraft heath monitoring using a biomimetic fault diagnos...

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AIAA Information systems-Infotech At Aerospace Conference, 2017

作者： Garcia, Diego F. Perez, Andres E. Moncayo, Hever Rivera, Karina Du Puis, Michael Mueller, Robert P. Department of Aerospace Engineering Flight Dynamics and Control Research Laboratory Embry-Riddle Aeronautical University United States Robotics and Autonomous Systems Testing and Design Branch NASA Kennedy Space Center Swamp Works Laboratory United States Science and Technology Projects Division NASA Kennedy Space Center Swamp Works Laboratory United States

ISBN: (纸本)9781624104497

This paper presents the design, development and implementation of a bio-inspired fault diagnosis scheme applied to a cold gas based spacecraft prototype. The proposed framework relies on the Artificial Immune System metaphor (AIS) with the goal of monitoring the health of the spacecraft by detecting subsystem upset conditions such as actuator malfunctions. A non-linear dynamic inversion (NLDI) baseline controller has been developed and implemented for attitude control of the spacecraft. The performance of the proposed health monitoring scheme is determined by analyzing the system response under different actuator failures and the results show acceptable performance in terms of high detection rate and low false alarms. The application of this artificial intelligent based scheme to aerospace systems will provide a high impact on space exploration by increasing mission protection and performance. © 2017, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Attitude control

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Impedance matching strategy for physical human robot interaction control

Impedance matching strategy for physical human robot interac...

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IEEE International Conference on Automation Science and engineering (CASE)

作者： Xiongjun Chen Chenguang Yang Cheng Fang Zhijun Li Key Laboratory of Autonomous Systems and Networked Control South China University of Technology Guangzhou China Zienkiewicz Centre for Computational Engineering Swansea University UK Department of Advanced Robotics Istituto Italiano di Tecnologia Genova Italy

Effective and stable execution of a human-robot interaction task requires the force and position trajectories of the robot are commanded properly according to the time-varying human arm behavior. In this paper, we aim to realize a direct and physical interaction task between the human hand and robotic arm end-effector. A computationally efficient Cartesian stiffness estimation model of human arm is first employed, which accounts for the geometric and volume modifications of the Cartesian stiffness profile through the arm posture and the activation levels of the two dominant upper arm muscles (i.e., Biceps and Triceps) respectively. Two Myo armbands are attached on the upper arm and the forearm with their built-in gyroscopes and wireless electromyography sensors (EMG) tracking the arm posture and the activation levels of the two muscles respectively. This stiffness estimation model is then extended to the full impedance sense by considering the mass and damping items supplementarily. Once the impedance estimation model is available after the calibration in various arm configurations and muscle activation levels. We employed Linear Quadratic Regulator (LQR) to computing the corresponding impedance model of the robot to match the estimated human arm behavior. An adaptive controller base on Function Approximation Technique (FAT) is employed to control the robot trajectory in joint space to realize the matching impedance behavior. The corresponding simulation results show that the proposed scheme is stable and effecitve.

关键词： Manipulators Impedance Robot sensing systems Muscles Electromyography Jacobian matrices

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Dynamics over signed networks

arXiv

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arXiv 2017年

作者： Shi, Guodong Altafini, Claudio Baras, John S. Australian Center for Field Robotics School of Aerospace Mechanical and Mechatronic Engineering University of Sydney NSW Australia Division of Automatic Control Department of Electrical Engineering Linköping University LinköpingSE-58183 Sweden Institute for Systems Research Department of Electrical and Computer Engineering University of Maryland College ParkMD20742 United States

A signed network is a network with each link associated with a positive or negative sign. Models for nodes interacting over such signed networks, where two different types of interactions take place along the positive and negative links, respectively, arise from various biological, social, political, and economic systems. As modifications to the conventional DeGroot dynamics for positive links, two basic types of negative interactions along negative links, namely the opposing rule and the repelling rule, have been proposed and studied in the literature. This paper reviews a few fundamental convergence results for such dynamics over deterministic or random signed networks under a unified algebraic-graphical method. We show that a systematic tool of studying node state evolution over signed networks can be obtained utilizing generalized Perron-Frobenius theory, graph theory, and elementary algebraic recursions. Copyright © 2017, The Authors. All rights reserved.

关键词： Algebra

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Set-up of active magnetic bearings for control of flexible shaft

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AIP Conference Proceedings 2018年第1期2029卷

作者： Adam Piłat Bartosz Sikora Jan Klocek Jan Cieślik 1AGH University of Science and Technology Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering Department of Automatic Control and Robotics Mickiewicza 30 30-059 Krakow Poland 2Optister Jalowcowa 50 31-329 Krakow Poland 3AGH University of Science and Technology Faculty of Mechanical Engineering and Robotics Department of Manufacturing Systems Mickiewicza 30 30-059 Krakow Poland

This paper presents the new laboratory test rig of the vertical axis flexible shaft supported by two active magnetic bearings. Behind the motivation of establishing this setup is the control of vibration modes of the flexible rotor - shaft assembly, while the rotational speed varies and the unbalanced mass on the whirling disc is introduced to the system. The proposed model is aimed to simulate real operation conditions of the rotating machinery with an applied external load, with a variable structure caused by a change of material properties of the rotor - shaft assembly, or due to a fault of some elements coupled with the rotor.

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Robot 2015: Second Iberian robotics conference: Advances in robotics, volume 1 2nd

Robot 2015: Second Iberian Robotics conference: Advances in ...

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2nd Iberian robotics Conference, ROBOT 2015

作者： Reis, Luís Paulo Moreira, António Paulo Lima, Pedro U. Montano, Luis Muñoz-Martinez, Victor University of Minho School of Engineering Information Systems Department Guimarães Portugal University of Porto INESC-TEC Porto Portugal University of Lisbon Instituto Superior Técnico Institute for Systems and Robotics Lisboa Portugal University of Zaragoza School of Engineering and Architecture Computer Systems Engineering Department Zaragoza Spain University of Malaga Superior Technical School of Industrial Engineers Automatic Control Systems Engineering Department Málaga Spain

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Modular Hydraulic Propulsion: A Robot that Moves by Routing Fluid Through Itself

Modular Hydraulic Propulsion: A Robot that Moves by Routing ...

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IEEE International Conference on robotics and Automation

作者： Matthew J. Doyle Xinyu Xu Yue Gu Fernando Perez-Diaz Christopher Parrott Roderich GroB Sheffield Robotics and the Department of Automatic Control and Systems Engineering The University of Sheffield UK

ISBN: (纸本)9781467380270

This paper introduces the concept of Modular Hydraulic Propulsion, in which a modular robot that operates in a fluid environment moves by routing the fluid through itself. The robot's modules represent sections of a hydraulics network. Each module can move fluid between any of its faces. The modules (network sections) can be rearranged into arbitrary topologies. We propose a decentralized motion controller, which does not require modules to communicate, compute, nor store information during run-time. We use 3-D simulations to compare the performance of this controller to that of a centralized controller with full knowledge of the task. We also detail the design and fabrication of six 2-D prototype modules, which float in a water tank. Results of systematic experiments show that the decentralized controller, despite its simplicity, reliably steers modular robots towards a light source. Modular Hydraulic Propulsion could offer new solutions to problems requiring reconfigurable systems to move precisely in 3-D, such as inspection of pipes, vascular systems or other confined spaces.

关键词： Moves Routing Modular

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Cloud-aided state estimation of a full-car semi-active suspension system

arXiv

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arXiv 2017年

作者： Zhang, Lixian Yin, Xunyuan Shen, Junnan Yu, Haitao Research Institute of Intelligent Control and System Harbin Institute of Technology Harbin150080 China Department of Chemical and Materials Engineering University of Alberta EdmontonT6G 2V2 Canada State Key Laboratory of Robotics and Systems Harbin Institute of Technology 150001 China

In this work, we investigate a state estimation problem for a full-car semi-active suspension system. To account for the complex calculation and optimization problems, a vehicle-to-cloud-to-vehicle (V2C2V) scheme is utilized. Moving horizon estimation is introduced for the state estimation system design. All the optimization problems are solved in a remotely-embedded agent with high computational ability. Measurements and state estimates are transmitted between the vehicle and the remote agent via networked communication channels. The effectiveness of the proposed method is illustrated via a set of simulations. Copyright © 2017, The Authors. All rights reserved.

关键词： State estimation

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Hybrid single node genetic programming for symbolic regression 7

Hybrid single node genetic programming for symbolic regressi...

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7th International Joint Conference on Computational Intelligence, IJCCI 2015

作者： Kubalìk, Jiřì Alibekov, Eduard Žegklitz, Jan Babuška, Robert Czech Institute of Informatics Robotics and Cybernetics CTU in Prague Prague Czech Republic Department of Cybernetics Faculty of Electrical Engineering CTU in Prague Prague Czech Republic Delft Center for Systems and Control Delft University of Technology Delft Netherlands

ISBN: (纸本)9783662535240

This paper presents a first step of our research on designing an effective and efficient GP-based method for symbolic regression. First, we propose three extensions of the standard Single Node GP, namely (1) a selection strategy for choosing nodes to be mutated based on depth and performance of the nodes, (2) operators for placing a compact version of the best-performing graph to the beginning and to the end of the population, respectively, and (3) a local search strategy with multiple mutations applied in each iteration. All the proposed modifications have been experimentally evaluated on five symbolic regression benchmarks and compared with standard GP and SNGP. The achieved results are promising showing the potential of the proposed modifications to improve the performance of the SNGP algorithm. We then propose two variants of hybrid SNGP utilizing a linear regression technique, LASSO, to improve its performance. The proposed algorithms have been compared to the state-of-the-art symbolic regression methods that also make use of the linear regression techniques on four real-world benchmarks. The results show the hybrid SNGP algorithms are at least competitive with or better than the compared methods. © Springer-Verlag Berlin Heidelberg 2016.

关键词： Genetic programming

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Boosting-Based One-Class SVM for Recognizing True-Fake Chinese Liquors Using Electronic Noses

Boosting-Based One-Class SVM for Recognizing True-Fake Chine...

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World Congress on Intelligent control and Automation

作者： Zhi-Hua Li Qing-Hao Meng Pei-Feng Qi Yu Zhou Shu-Gen Ma Tianjin Key Laboratory of Process Measurement and Control Institute of Robotics and Autonomous Systems Tianjin University Department of Robotics College of Science and Engineering Ritsumeikan University

ISBN: (纸本)9781467384155

The true-fake detection of Chinese liquors can be considered as a one-class classification problem. Using only positive sample in training process brings about difficulties in determining the optimal parameters of one-class SVM and its kernel. And one-class SVM optimized with conventional grid search method has a low recognition rate of positive test samples. Hence, we proposed a new idea for recognition, namely boosting-based one-class SVM. Six different kinds of liquors were sampled by a self-designed electronic nose system. After the preprocessing and feature extraction of sample data, 18 groups of optimum parameters of one-class SVM were chosen from specified parameter range, each group was used to train a classifier with training algorithm. Then the true-fake decisions were made for test samples with boosting integration rules. Finally the recognition rates of Hongjinjiu and Lanjinjiu positive sample reached 95.24% and 100%, and the recognition rates of both positive and negative sample reached 97.04% and 94.83%, respectively.

关键词： Support Vector Network optimal parameter Electronic Nose Recognition (Psychology) Search methods Chinese Chinese Chinese philosophy Chinese art Feature extraction test sample

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