Study on the Global Bifurcation of Quasi-Zero-Stiffness System

2013 ◽  
Vol 397-400 ◽  
pp. 451-456
Author(s):  
Qing Chao Yang ◽  
Li Hua Yang ◽  
Yan Ping Chen ◽  
Hao Kai Lai
Keyword(s):  
Optimization Design ◽  
Global Bifurcation ◽  
Mapping Method ◽  
Exciting Force ◽  
Force Frequency ◽  
Force Amplitude ◽  
System A ◽  
Wide Range ◽  
Chaos Motion ◽  
Dynamics Approximation

According to the characteristics of the quasi zero stiffness (QZS) system, a dynamics approximation model is established. The effect of excitation force amplitude, frequency and stiffness on the dynamic characteristics of the system is studied by continuation algorithm. The global bifurcation diagram with a wide range of parameters is achieved by using Poincaré mapping method. Results show that when the exciting force amplitude increases to a certain extent, the system will come into multi-cycle and chaos motion state. When exciting force frequency is lower, the system dynamic behavior is complicated, which is helpful for the engineering optimization design.

scholarly journals Prediction of Experimental Electromagnetic Coupling to a UAV Model Using Characteristic Mode Analysis

2021 ◽  
Author(s):  
Mohamed Hamdalla ◽  
Benjamin Bissen ◽  
James D. Hunter ◽  
Liu Yuanzhuo ◽  
Victor Khilkevich ◽  
...  
Keyword(s):  
Experimental Measurement ◽  
Experimental Approach ◽  
Electromagnetic Coupling ◽  
Mode Analysis ◽  
Angle Of Incidence ◽  
Characteristic Mode ◽  
System A ◽  
Wide Range ◽  
Aerial Vehicle ◽  
Excitation Conditions

<p>In this work, we study the current coupled to a simplified Unmanned Aerial Vehicle (UAV) model using a dual computational and experimental approach. The surrogate structure reduced the computational burden and facilitated the experimental measurement of the coupled currents. For a practical system, a wide range of simulations and measurements must be performed to analyze the induced current variations with respect to the incident excitation properties such as the frequency, angle of incidence, and polarization. To simplify this analysis, Characteristic Mode Analysis (CMA) was used to compute the eigen-currents of the UAV model and predict where and under which RF excitation conditions, the coupled current is maximized. We verified these predictions using direct experimental measurement of the coupled currents. The presented simulations and measurements show the usefulness of CMA for studying electromagnetic coupling to practical systems. </p>

scholarly journals Prediction of Experimental Electromagnetic Coupling to a UAV Model Using Characteristic Mode Analysis

2021 ◽  
Author(s):  
Mohamed Hamdalla ◽  
Benjamin Bissen ◽  
James D. Hunter ◽  
Liu Yuanzhuo ◽  
Victor Khilkevich ◽  
...  
Keyword(s):  
Experimental Measurement ◽  
Experimental Approach ◽  
Electromagnetic Coupling ◽  
Mode Analysis ◽  
Angle Of Incidence ◽  
Characteristic Mode ◽  
System A ◽  
Wide Range ◽  
Aerial Vehicle ◽  
Excitation Conditions

<p>In this work, we study the current coupled to a simplified Unmanned Aerial Vehicle (UAV) model using a dual computational and experimental approach. The surrogate structure reduced the computational burden and facilitated the experimental measurement of the coupled currents. For a practical system, a wide range of simulations and measurements must be performed to analyze the induced current variations with respect to the incident excitation properties such as the frequency, angle of incidence, and polarization. To simplify this analysis, Characteristic Mode Analysis (CMA) was used to compute the eigen-currents of the UAV model and predict where and under which RF excitation conditions, the coupled current is maximized. We verified these predictions using direct experimental measurement of the coupled currents. The presented simulations and measurements show the usefulness of CMA for studying electromagnetic coupling to practical systems. </p>

scholarly journals Automatic Design System with Generative Adversarial Network and Convolutional Neural Network for Optimization Design of Interior Permanent Magnet Synchronous Motor

2021 ◽  
Author(s):  
Yuki Shimizu ◽  
Shigeo Morimoto ◽  
Masayuki Sanada ◽  
Yukinori Inoue
Keyword(s):  
Neural Network ◽  
Prediction Model ◽  
Convolutional Neural Network ◽  
Permanent Magnet ◽  
Optimization Design ◽  
Design System ◽  
Automatic Design ◽  
Wide Range ◽  
Interior Permanent Magnet ◽  
Long Time

The optimal design of interior permanent magnet synchronous motors requires a long time because finite element analysis (FEA) is performed repeatedly. To solve this problem, many researchers have used artificial intelligence to construct a prediction model that can replace FEA. However, because the training data are generated by FEA, it takes a very long time to obtain a sufficient amount of data, making it impossible to train a large-scale prediction model. Here, we propose a method for generating a large amount of data from a small number of FEA results using machine learning. An automatic design system with a deep generative model and a convolutional neural network is then constructed. With its sufficient data, the proposed system can handle three topologies and three motor parameters in a wide range of current vector regions. The proposed system was applied to multi-objective optimization design, with the optimization completed in 13-15 seconds.

scholarly journals INTERNET OF THINGS (IOT) BASED ADVANCED ONLINE EXAMINATION USING RASPBERRY PI

2018 ◽  
Vol 6 (5) ◽  
pp. 30-36
Author(s):  
Kunal.S. Pawar ◽  
Pravin.C. Latane
Keyword(s):  
Internet Of Things ◽  
Research Trends ◽  
Raspberry Pi ◽  
Iot Applications ◽  
System A ◽  
Implementation Techniques ◽  
Wide Range ◽  
Online Examination ◽  
Exam System ◽  
Key Enabling Technologies

With the development in the education system, considering the latest current online exam system, a new projection of online exam system based on Raspberry pi IOT is proposed, and the key implementation techniques and methods are also described. The growing ubiquity of wireless, RFID mobile and sensor devices has provide a promising opportunity to build the powerful examination systems and applications by Internet of Things (IoT). A wide range of IoT applications have been developed in recent years. In an effort to understand the development of IoT in online examination, here we propose the current research of IoT, IOT key enabling technologies, major IoT applications in online examination and identifies research trends and challenges. Here we initially all the examine details are stored in the server. Then By applying face recognition (in Open CV based) technique, you can start the online examination. Due to sometime unwanted person also enter to wright the exam, so this is the best way to identified any culprits are found or not.

scholarly journals Automatic Design System with Generative Adversarial Network and Convolutional Neural Network for Optimization Design of Interior Permanent Magnet Synchronous Motor

2021 ◽  
Author(s):  
Yuki Shimizu ◽  
Shigeo Morimoto ◽  
Masayuki Sanada ◽  
Yukinori Inoue
Keyword(s):  
Neural Network ◽  
Prediction Model ◽  
Convolutional Neural Network ◽  
Permanent Magnet ◽  
Optimization Design ◽  
Design System ◽  
Automatic Design ◽  
Wide Range ◽  
Interior Permanent Magnet ◽  
Long Time

The optimal design of interior permanent magnet synchronous motors requires a long time because finite element analysis (FEA) is performed repeatedly. To solve this problem, many researchers have used artificial intelligence to construct a prediction model that can replace FEA. However, because the training data are generated by FEA, it takes a very long time to obtain a sufficient amount of data, making it impossible to train a large-scale prediction model. Here, we propose a method for generating a large amount of data from a small number of FEA results using machine learning. An automatic design system with a deep generative model and a convolutional neural network is then constructed. With its sufficient data, the proposed system can handle three topologies and three motor parameters in a wide range of current vector regions. The proposed system was applied to multi-objective optimization design, with the optimization completed in 13-15 seconds.

Target Optimization Design of Cam Curve in Zoom System

2013 ◽  
Vol 552 ◽  
pp. 44-51
Author(s):  
Chen Wei Ning ◽  
Cao Jian Zhong ◽  
Yang Hong Tao ◽  
Zhang Jian ◽  
Fan Zhe Yuan ◽  
...  
Keyword(s):  
Optimization Design ◽  
Rotation Angle ◽  
Optical Design ◽  
Zoom Lens ◽  
Pressure Angle ◽  
Cam Design ◽  
System A ◽  
Cam Follower ◽  
Optimization Function ◽  
The Stability

Zoom lens has been widely applied in all kinds of fields, and its cam optimization is the key to actualizing the performance of its optical design and the zooming process, while the smoothness and speediness of zooming movement must be considered for military and civilian use. With the incremental use of environmental requirements, it puts forward higher requests to the cam performance of lens. In order to guarantee that the cam has good stiffness in the case of vibration and shock environment, in the process of cam design, it not only requires curve optimal, but also needs to consider influence on the performance which is caused by reduced cam stiffness of the zoom system. A fine curve can ensure that the cam pressure angle α is smaller, and to ensure the cam follower maintains the uniform velocity and smaller acceleration in zooming process, and make the zoom system produce little impact, and whole zooming process smooth and fluent, it can reduce the zoom systems driving moment M, and can ensure the stability imaging of the zoom system. Good cam stiffness K can make the zoom lens have good stability in vibration environment, and make sure that the image quality. M and K respectively up to the pressure angle α of zoom curve and the rotation angle θ of zoom curve in cam. In the new cam design process, considering the whole influence on the performance that is caused by K and M to cam, we construct the function expressions K = f (α, θ) and M = f (α, θ), and then, build target optimization function with K and M, optimize the relationship between pressure angle α of zoom curve and rotation angle θ, looking for the optimal value for the stiffness K and the cam system driving moment M , and improve overall performance of the zoom cam .

Simulation of Automated Robotic Assembly

1995 ◽  
Author(s):  
Alec R. Miller ◽  
Raymond J. Cipra
Keyword(s):  
Manufacturing System ◽  
Three Dimensional ◽  
Robotic Assembly ◽  
Automated Assembly ◽  
System A ◽  
Assembly Cell ◽  
Wide Range ◽  
Graphical Visualization ◽  
Manufacturing Software ◽  
Research And Education

Abstract This paper examines the development of a networked simulation system. The Automated Robotic Manipulation (ARM) simulator is a central part of the network. This simulation tool currently assists with research and education into automated assembly. Robots, fixtures, conveyors, and parts create an automated assembly cell which is used to test advanced manufacturing software. ARM animates models of these physical components and enhances them with additional forms of three-dimensional graphical visualization. The feasibility of automated assembly can rapidly be assessed from the visual content presented by the simulator. Input formats for ARM are flexible enough to support a wide range of assembly cells and activities. Files and network transmissions customize the simulator to a particular assembly cell and its activities. The emerging assembly data protocol promotes the development of a truly integrated manufacturing system. A graphical interface complete with multiple views assists assembly cell layout and activity review, and networked operations significantly expand its role to areas such as interactive robot control and assembly preview.

Tandem Pore Domain Potassium Channels

2019 ◽  
Author(s):  
Douglas A. Bayliss
Keyword(s):  
Single Channel ◽  
Resting Membrane Potential ◽  
K2p Channel ◽  
Physiological Processes ◽  
System A ◽  
Wide Range ◽  
K2p Channels ◽  
To Come ◽  
A Site ◽  
Pore Domain

The KCNK gene family encodes two-pore-domain potassium (K2P) channels, which generate the background (“leak”) K+ currents that establish a negative resting membrane potential in cells of the nervous system. A pseudotetrameric K+-selective pore is formed by pairing channel subunits, each with two pore-domains, in homo- or heterodimeric conformations. Unique features apparent from high-resolution K2P channel structures include a domain-swapped extracellular cap domain, a lateral hydrophobic-lined fenestration connecting the lipid bilayer to the channel vestibule, and an antiparallel proximal C-terminal region that links the paired subunits and provides a site for polymodal channel modulation. Individual channels transition between open and closed states, with the channel gate located at the selectivity filter. In general, K2P channels display relatively modest voltage- and time-dependent gating, together with distinct single-channel rectification properties, that conspire to yield characteristic weakly rectifying macroscopic currents over a broad range of membrane potentials (i.e., background K+ currents). Of particular note, K2P channel activity can be regulated by a wide range of physicochemical factors, neuromodulators, and clinically useful drugs; a distinct repertoire of activators and inhibitors for different K2P channel subtypes endows each with unique modulatory potential. Thus, by mediating background currents and serving as targets for multiple modulators, K2P channels are able to dynamically regulate key determinants of cell-intrinsic electroresponsive properties. The roles of specific K2P channels in various physiological processes and pathological conditions are now beginning to come into focus, and this may portend utility for these channels as potential therapeutic targets.

Acoustic Optimization Design Method of Gear System

2014 ◽  
Vol 1016 ◽  
pp. 256-260
Author(s):  
Ze Yin He ◽  
Teng Jiao Lin ◽  
Wen Liu ◽  
Bo Liu
Keyword(s):  
Simulated Annealing ◽  
Optimization Design ◽  
Simulated Annealing Algorithm ◽  
Design Method ◽  
Gear System ◽  
Acoustic Properties ◽  
System A ◽  
Surface Method ◽  
Radiation Noise ◽  
Annealing Algorithm

The Response Surface Method (RSM) and Simulated Annealing Algorithm (SAA) are utilized to analysis and optimize the vibro-acoustic properties of gear system. A simple case is illustrated to demonstrate the capabilities of the acoustic optimization design method. The results show that the method of acoustic optimization design based on RSM and SAA can effectively reduce radiation noise, and provide theoretical fundament and guidance for further study on acoustic optimization design of complicated gear system.

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