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检索条件"任意字段=3rd International Conference on Robotics, Control and Automation Engineering, RCAE 2020"

共 546 条记录，以下是381-390 订阅

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Application of Multi-resolution Model in Nonlinear Modeling of Electrical Equipment

Application of Multi-resolution Model in Nonlinear Modeling ...

引用

IEEE international conference on automation, Electronics and Electrical engineering (AUTEEE)

作者： Zheng Cao Yuanjun Zhou Na Wang School of Automation Science and Electrical Engineering Beihang University Beijing China Engineering Training Center Beihang University Beijing China

ISBN: (数字)9781728198279

ISBN: (纸本)9781728181585

The more electric aircraft increases the new type of electromechanical equipment. The complex equipment integrates the power electronic device, the motor, the mechanical transmission device and the microprocessor. The structure is nonlinear and the nonlinear control is adopted. The nonlinear structure of electrical equipment is the main effect factor for power supply stability, the electromagnetic compatibility, the mechanical coupling and other issues. Especially, for the integrated simulation of electrical system, the digital model of electrical equipment is required to represent the nonlinear characteristic and the suitable calculation speed accurately. This paper takes the speed control system of brushless DC motor driven by the electrical power as an example, and proposes the multi-resolution model based on the frequency band to describe the nonlinear problem. The model is based on the multi-physical domain power conversion. The different frequency band models describe each nonlinear problem, which make the model output perform the nonlinear effect accurately. As the multi-resolution model is linearized, it has the fast calculation speed for the large-scale integrated simulation relatively.

关键词： Atmospheric modeling Torque Pulse width modulation Phase change materials Brushless DC motors Computational modeling Voltage control

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The preparation of BaCeO3 nanopowders by Pechini method 2

The preparation of BaCeO3 nanopowders by Pechini method

引用

2nd international conference on robotics, control and automation engineering, rcae 2019 and 2nd international conference on Advanced Mechanical and Electrical engineering, AMEE 2019

作者： Deng, Xiaoyan Zhang, Guoheng Wang, Peiyu Qiang, Chengwen Key Laboratory for Electronic Materials School of Electrical Engineering Northwest Minzu University No.1 Xibei Xincun Lanzhou730030 China Institute of Modern Physics Chinese Academy of Sciences 509 Nanchang Rd. Lanzhou730030 China

ISBN: (纸本)9781450376228

BaCeO3 Perovskite-type oxide single phase nanopowders were prepared by the Pechini method. A polymeric precursor was synthesized by use of Ba(NO3)2 and Ce(NO3)3•6H2O AR powders as metal ion sources, and citric acid and ethylene glycol as chelating agents and reaction medium, respectively. To determine the optimum experimental parameters to synthesize the single phase BaCeO3 nanopowders, the effects of some experimental factors, such as total metal ion concentration, water bath temperature, and dosages of citric acid and ethylene glycol, on the quality of sol and gel formed in the reaction were discussed. And the optimum calcination temperature was investigated using DTA-TG analysis. The results indicate that the optimum experimental conditions are including an appropriate total metal ion(Ba2+ and Ce3+) concentration of 0.05 mol/L, gelling temperature of 70 °C, concentration ratio of citric acid to total metal ions of 5: 1 (i.e. 0.25 mol/L:0.05 mol/L), and that of citric acid to ethylene glycol of 1: 2 (i.e. 0.25 mol/L: 0.50 mol/L), and proper calcination temperature of 900 °C for 4 hours. © 2019 Association for Computing Machinery.

关键词： Sols

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Prediction of Gas Utilization Ratio Under Different Working Conditions of Blast Furnace Based on Extreme Learning Machine

Prediction of Gas Utilization Ratio Under Different Working ...

引用

international conference on control and Robots (ICCR)

作者： Tianen Ma Jianqi An School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Ministry of Education of Engineering Research Centre for Earth Exploration Intelligent Technology Wuhan China

ISBN: (数字)9781728175621

ISBN: (纸本)9781728175638

Since the working condition affects the chemical reactions in a blast furnace (BF), the relationship between the blast-supply parameters and the gas utilization ratio (GUR) varies with different working conditions. This paper presents a GUR prediction model based on working condition classification. First, this paper analyzes the influence of working conditions on the state parameters of a BF. Then, a fuzzy clustering method is used to identify the working condition by using some state parameters. Next, the GUR prediction model was designed based on an extreme learning machine under different working conditions. Finally, the simulation results verified the effectiveness of this method.

关键词： Employee welfare Extreme learning machines Simulation Clustering methods Predictive models Blast furnaces Robots

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Experiences in Process automation of Injection Casting Equipment Inside Glove Box 3rd

Experiences in Process Automation of Injection Casting Equip...

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3rd international and 18th National conference on Machines and Mechanisms (iNaCoMM)

作者： Raju, M. Bala Parandhama Yadav, Abhishek Kumar Kumar, R. Lava Kumar, G. Yathish Kumar, G. Nantha Kathiravan, N. Prabhu, T. V. Anthonysamy, S. Indira Gandhi Ctr Atom Res MC&MFCG Kalpakkam Tamil Nadu India

ISBN: (纸本)9789811085970;9789811085963

Fabrication of metallic (U-6%Zr) slugs involves melting of binary alloy under vacuum and injection casting into quartz moulds at high pressure. Injection casting system contains high vacuum, high pressure, motion control, crucible handling and glove box pressure control systems in addition to melting, preheating and cooling systems inside a glove box. Injection casting process is the primary and important operation of the metal fuel fabrication process and is in the critical path linked to productivity. It is pertinent to implement high level of automation to improve batch mode productivity, accuracy and reduce risk hazards associated with radioactivity. The technology development and process automation on fabrication of U-6%Zr binary alloy and qualification experiences are outlined in this paper. This paper deals with the experience gained in process automation of injection casting equipment, crucible lifting mechanism and its integration inside glove box which is maintained at high purity inert atmosphere.

关键词： Injection casting Crucible lifting mechanism automation Glove box High-temperature furnace Manufacturing Nuclear fuels

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Design and Implementation of Energy Storage Photovoltaic Grid-Connected Power Generation System

Design and Implementation of Energy Storage Photovoltaic Gri...

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IEEE international conference on automation, Electronics and Electrical engineering (AUTEEE)

作者： Zhong Guan Feng Tian School of Automation Shenyang Aerospace University Shenyang China

ISBN: (数字)9781728198279

ISBN: (纸本)9781728181585

This paper presents an energy storage photovoltaic grid-connected power generation system. The main power circuit uses a two-stage non-isolated full-bridge inverter structure, and the main control chip is STM32F407. The two coupling modes of the energy storage device are analyzed and compared. The DC-side coupling mode is selected. When the grid is charging the battery, in order to improve the charging efficiency and stability, an independent AC-DC charging circuit is added. The overall structure of the system was designed, and the hardware circuits of each part of the system were researched and designed, including various converter circuits, isolation and drive circuits, and signal conditioning and acquisition circuits. Finally, an experimental prototype was built for verification. The experimental results show that the system is stable and easy to control, it provides a set of feasible and practical design solutions for energy storage photovoltaic grid-connected systems.

关键词： Photovoltaic systems Solar power generation Inverters Batteries Electron tubes Couplings Inductors

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Instant soft robot: A simple recipe for quick and easy manufacturing

Instant soft robot: A simple recipe for quick and easy manuf...

引用

IEEE international conference on Soft robotics (RoboSoft)

作者： J. Fras J. Glowka K. Althoefer Centre of Advanced Robotics @ Queen Mary (ARQ) Faculty of Science and Engineering Queen Mary University of London London UK Industrial Research Institute for Automation and Measurements PIAP Warsaw PL

ISBN: (数字)9781728165707

ISBN: (纸本)9781728165714

Soft robots offer interesting features and can be manufactured cheaply using widely available lab equipment. However, with increasing robot complexity, the manufacturing process often becomes expensive, requires sophisticated or experimental tools, highly skilled technicians and time. In this paper, we propose an alternative approach for the fabrication of soft pneumatic fiber-reinforced actuators. With the new design, a scaffolding to reinforce the actuator is printed inside a single-use mold. The mold is injected with silicone and broken apart, while the reinforcement detaches from the mold and remains within the actuator. Using flexible filaments such as nylon allows for the resulting actuators to be not only compliant but also squeezable. Our approach reduces the needed work effort and requires virtually no manufacturing skills when compared to current labor-intensive fabrication techniques. It also does not require any equipment other than an affordable, single nozzle desktop 3D printer. In the paper, we presented the design and fabrication process of different types of modules: linearly extending, bending and a manipulation module. We have compared the new instant design and the previous fiber-reinforced design in terms of bending, elongation and generated forces.

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Obstacle Avoidance of UAV Based on Neural Networks and Interfered Fluid Dynamical System

Obstacle Avoidance of UAV Based on Neural Networks and Inter...

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IEEE international conference on Unmanned Systems (ICUS)

作者： Yanxiang Wang Honglun Wang Jiayun Wen Yuebin Lun Jianfa Wu School of Automation Science and Electrical Engineering & Science and Technology on Aircraft Control Laboratory Beihang University Beijing China

ISBN: (数字)9781728180250

ISBN: (纸本)9781728180267

Obstacle avoidance is the prerequisite guarantee for the unmanned aerial vehicle (UAV) to fly safely in the three-dimensional dynamic complex environment. In this paper, a three-dimensional real-time obstacle avoidance method is proposed by combining neural network and the Interfered Fluid Dynamical System (IFDS) for the first time. First, in order to solve the problem of insufficient samples, sample data are generated based on the sparrow search algorithm (SSA) and receding horizon control (RHC). Second, training neural network offline, the relative position between UAV, destination and obstacle from sample data as input of neural network, and the IFDS parameters are used as the feature extraction of the output terminal of the neural network. Third, the trained neural network is used to adjust the coefficients of the IFDS according to environment in real time. Finally, the simulations demonstrate effectiveness of the proposed method.

关键词： Electrical engineering automation Aerospace control Unmanned aerial vehicles Neural networks Heuristic algorithms Fluid dynamics

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Research on Roll-in Dynamics and Acceleration Characteristics of Spherical Robot for engineering Monitoring

Research on Roll-in Dynamics and Acceleration Characteristic...

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IEEE international conference on Unmanned Systems (ICUS)

作者： Jia Ma Haitao Zhang Runze Zhao Zhe Ma the 1st Construction and Management Office of Joint Service Support Force of PLA Nanjing China College of Defense Engineering Army Engineering University of PLA Nanjing China College of Harbor Coastal and Offshore Engineering Hohai University Nanjing China School of Automation Shenyang Aerospace University Shenyang China

ISBN: (数字)9781728180250

ISBN: (纸本)9781728180267

In order to grasp the acceleration characteristics of spherical robot during movement, and then optimize the performance of the robot, together with solving the problem of the actual environment adaptability of the robot in the process of engineering monitoring, Lagrangian equation method and simulation test method are used to study the Rolling dynamics of spherical robot, which contributes to the kinetic model of the robot in rolling on the flat; the characteristic of simple harmonic oscillation of acceleration and velocity in the process of uniform velocity roll-in is discovered; the coupling relationship between the structural characteristics of the robot center of gravity position and weight ratio and acceleration characteristics is clarified. This paper summarizes how to optimize the structure of the robot to control the acceleration oscillation frequency, and then realizes the method to improve the robot motion performance. It provides the theoretical foundation for the study of complex dynamics, manipulation and control of spherical engineering monitoring robot and the application of large-scale engineering.

关键词： Programmable logic arrays Acceleration Sea measurements Robots Monitoring Force automation

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Bin-picking Robot using a Multi-gripper Switching Strategy based on Object Sparseness 15

Bin-picking Robot using a Multi-gripper Switching Strategy b...

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15th IEEE international conference on automation Science and engineering (IEEE CASE)

作者： Fujita, Masahiro Domae, Yukiyasu Kawanishi, Ryosuke Ricardez, Gustavo Alfonso Garcia Kato, Kenta Shiratsuchi, Koji Haraguchi, Rintaro Araki, Ryosuke Fujiyoshi, Hironobu Akizuki, Shuichi Hashimoto, Manabu Causo, Albert Noda, Akio Okuda, Haruhisa Ogasawara, Tsukasa Mitsubishi Electr Corp Chiyoda Ku 2-7-3 Marunouchi Tokyo 1008310 Japan Natl Inst Adv Ind Sci & Technol Artificial Intelligence Res Ctr Koto Ku 2-3-26 Aomi Tokyo 1350064 Japan Chubu Univ Machine Percept & Robot Grp 1200 Matsumoto Cho Kasugai Aichi 4870027 Japan Chukyo Univ Sch Engn Showa Ku 101-2 Yagoto Honmachi Nagoya Aichi Japan Nara Inst Sci & Technol Div Informat Sci 8916-5 Ikoma Nara 6300192 Japan Nanyang Technol Univ Robot Res Ctr Sch Mech & Aerosp Engn 50 Nanyane AveN3-01A-01 Singapore 639798 Singapore Osaka Inst Technol Fac Robot & Design Dept Robot Kita Ku 1-45 Chayamachi Osaka Japan

ISBN: (纸本)9781728103563

Bin picking of various daily items is an important research problem in robotics. If the target items are diverse, multiple grippers are normally used. A design of gripper combinations depends not only on the item variations but also on the state of the bins, which changes while robots pick items from them. In this paper, we propose a gripper combination strategy to change the gripper combination during a bin-picking task based on the sparseness of objects inside bins. As an experiment, we build a robot system which has three different types of grippers. By using the proposed combination strategy, the system effectively changed the gripper combination during the task, and picked 18/20 items to obtain the 3rd place in the Stow task at the Amazon robotics Challenge 2017. The successful picking rate and Mean Picks Per Hour (MPPH) were higher than the 1st place team. In this paper, we describe the problem, method to switch the combination, system including gripper design and recognition algorithm, and experimental results from the competition.

关键词： Grippers Robots Switches Task analysis Data models Grasping Three-dimensional displays

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Health Management control Strategy of Tank Storage Based on Artificial Intelligence

Health Management Control Strategy of Tank Storage Based on ...

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IEEE international conference on automation, Electronics and Electrical engineering (AUTEEE)

作者： Shengli Lv Haizheng Zhang Feihu Bao Laboratory of Science and Technology on UAV Northwestern Polytechnical University Xi’an Shaanxi China School of Automation Northwestern Polytechnical University Xi’an Shaanxi China

ISBN: (数字)9781728198279

ISBN: (纸本)9781728181585

For the safe usage of missile fuel tank in a long-term preservation process, the health status of the storage tank must be evaluated and managed accurately. Currently, the health management strategy has gradually evolved from Time-based maintenance (TBM) to Preventive maintenance (PM). With artificial intelligence (AI) applied to process the big data, the strategy of tank storage health management is now able to make precis predictions and guidance. The basic data is acquired from various databases, and the prediction of the structural performance of the storage tank system is accomplished by a series of simulation models intelligently. The modules include data fused long storage evaluation module, corrosion depth prediction module, elastic modulus drop prediction module, and creep damage analysis module. With on-site monitoring of data, a decision tree model based on artificial intelligence is constructed to provide decision support for the use of the missile propellant tank, leading to a more effective, time-saving, and accurate control strategy.

关键词： Corrosion Predictive models Reliability Data models Missiles Big Data Databases

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