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Study on the loss reduction of high-efficient high-voltage series induction motors

Study on the loss reduction of high-efficient high-voltage s...

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International Conference on Electrical Machines and systems (ICEMS)

作者： Bai Lingyun Zhao Zhengming Lei Yi Wang Shuping State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing China Anhui Electrical Research Institute Hefei China

On the basis of analyzing the composition of losses in high-efficient high-voltage asynchronous motors, the approaches of increasing the efficiency of the motors is investigated in this paper. The approaches concern with the improvement of material, winding, fan, magnetic groove and so on. By taking the economy and efficiency into account synthetically, the design of the YKK series induction motors is carried on, and it is realized by software simulation.

关键词： Magnetic flux Windings Induction motors Rotors Perpendicular magnetic anisotropy Copper

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A novel type of trigonometric neural network trained by Extended Kalman Filter

A novel type of trigonometric neural network trained by Exte...

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International Workshop on Advanced Computational Intelligence (IWACI)

作者： M. Norouzi M. Mansouri M. Teshnehlab M. Aliyari Shoorehdeli Faculty of Engineering Department of Computer Engineering Science and Research Branch Islamic Azad University Iran Intelligent System Laboratory (ISLAB) Faculty of Electrical Engineering Control Department K.N. Toosi University of Technology Tehran Iran Faculty of Electrical Engineering Department of Mechatronics Engineering Advanced Process Automation &Control Laboratory (APAC) K.N. Toosi University of Technology Tehran Iran

In this study, a new type of trigonometric neural network is presented by adding frequency and phase to trigonometric activation functions. The proposed trigonometric neural network has more flexibility in comparison with conventional trigonometric neural networks and even other types of neural networks. Due to the low convergence rate and high posibility of trapping in a local minimum of backpropagation algorithm, Extended Kalman Filter algorithm is used to train the neural network's parameters which they appear in a nonlinear form. The Simulation of the suggested neural network based on the prediction of Mackey-Glass time series and identification of a nonlinear dynamic ystem reveals the efficiency of the proposed network. To show the efficiency of this method, the results are compared with the results of the others.

关键词： Biological neural networks Kalman filters Equations Neurons Vectors Covariance matrix Mathematical model

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Evaluation of functional connectivity in control and ADHD subjects by generalized Canonical Correlation and Probabilistic Independent Component Analysis

Evaluation of functional connectivity in control and ADHD su...

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Iranian Conference of Biomedical engineering (ICBME)

作者： AmirEhsan Lashkari Hamid Soltanian-Zadeh GholamAli Hosseinzadeh Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Faculty of Engineering University of Tehran Tehran Iran Radiology Image Analysis Laboratory Henry Ford Health System Detroit MI USA

Functional connectivity can be evaluated by temporal correlation between spatial neurophysiologic events or correlation between neural activities of brain regions. Unlike anatomical connectivity which represents physical connections between two brain regions, functional connectivity investigates interactions between brain regions. In this study, we implemented and evaluated Probabilistic Independent Component Analysis (PICA) and generalized Canonical Correlation Analysis (gCCA) on resting state data of healthy subjects and subjects with ADHD disorders from NITRC database. This was done to detect brain functional connectivity and compare the results in normal and diseased subjects. In addition, speed of the methods was compared. Our study shows that relative to PICA, gCCA has higher precision and accuracy and lower computational complexity and run time in addition to capability of extracting more reproducible statistical maps in both control and ADHD subjects.

关键词： Correlation Magnetic resonance imaging Independent component analysis Educational institutions Biomedical engineering Probabilistic logic Basal ganglia

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Dynamic anti-windup design in anticipation of actuator saturation

Dynamic anti-windup design in anticipation of actuator satur...

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作者： Wu, Xiongjun Lin, Zongli Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing of Ministry of Education Shanghai 200240 China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia P.O. Box 400743 Charlottesville VA 22904-4743 United States

ISBN: (纸本)9781457700804

In a traditional anti-windup design, the anti-windup mechanism is set to be activated as soon as the control signal saturates the actuator. A recent innovation of delaying the activation of the anti-windup mechanism, both static and dynamic, until the saturation reaches to a certain level of severity has led to a performance improvement of the resulting closed-loop system. More recently, it has been shown that significant further performance improvements can be obtained by activating a static anti-windup mechanism in anticipation of actuator saturation, in comparison with the delayed activation design. This paper demonstrates that anticipatory activation of a dynamic anti-windup mechanism would also lead to significant performance improvements over both the immediate and delayed activation schemes. © 2011 AACC American Automatic control Council.

关键词： Chemical activation

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Characterizing observed limit cycles in the Cassini main engine thrust vector control system

Characterizing observed limit cycles in the Cassini main eng...

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AIAA Guidance, Navigation and control Conference 2011

作者： Rizvi, Farheen Weitl, Raquel M. Jet Propulsion Laboratory California Institute of Technology Guidance and Control Operations 4800 Oak Grove Dr. M.S. 230-104 Pasadena CA 91109-8099 United States Jet Propulsion Laboratory California Institute of Technology End-to-End Information System Engineering 4800 Oak Grove Dr. M.S. 230-104 Pasadena CA 91109-8099 United States

ISBN: (纸本)9781600869525

The Cassini spacecraft dynamics telemetry during long Main Engine (ME) burns has indicated the presence of stable limit cycles between 0.03-0.05 Hz frequencies. These stable limit cycles cause the spacecraft to possess small but non-zero oscillating rates for extended periods of time. Even though these limit cycles have been observed in telemetry, they have not hindered the spacecraft performance to any degree of concern. The performance of the ME TVC system has been excellent throughout the prime and extended missions. However, it is important to understand these stable limit cycles from a controller design viewpoint. In this study, we hypothesize that the observed limit cycles in the spacecraft dynamics telemetry appear from a stable interaction between the unmodeled nonlinear elements and the linear ME TVC system. Many nonlinearities in the control system emerge from translating the linear engine gimbal actuator (EGA) motion into the rotational motion of the main engine. One such nonlinearity comes from the gear backlash in the EGA system, which is the focus of this paper. The limit cycle characteristics and behavior can be predicted by modeling this gear backlash nonlinear element via a describing function and studying the interaction of this describing function with the overall dynamics of the spacecraft. The linear ME TVC system and gear backlash nonlinearity responses are modeled analytically. The frequency, amplitude, and nature of the limit cycle are obtained from the Nyquist and describing function stability criteria. In addition, the ME TVC system along with the nonlinearity are modeled in Simulink‡. The simulation limit cycle response has similar characteristics as predicted analytically. The analytical and simulated limit cycle responses are compared to the flight telemetry for long burns such as the Saturn Orbit Insertion and Main Engine Orbit Trim Maneuvers. The limit cycle frequencies and peak-to-peak amplitudes of the X-axis spacecraft rate are 0.03

关键词： controllers

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The study on fracture energy release rate G∼C of the reservoir ice layer in different loading rate

The study on fracture energy release rate G∼C of the reserv...

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International Conference on Electronics, Communications and control (ICECC)

作者： Xiao-zhou Liu Qiao Sun State Key Laboratory of Frozen Soil Engineering Cold and Arid Regions Environmental & Engineering Research Institute Chinese Academy of Sciences (CAS) Lanzhou China Key Laboratory for Prediction & Control on Complicated Structure System of Liaoning Province Dalian University Dalian China

The fracture energy release rate G ~ C , which is the important parameter of ice pressure calculation model that is built on energy balance method, is the fracture mechanics performance of ice material. It is related with these factors such as ice material loading rate Ṗ, which must be measured by experiment. It is the experimental method of fracture mechanics used in this paper. These ice specimens on the different thickness loading rate Ṗ were tested with fracture mechanics method at low-temperature testing machine, to obtain the fracture flexibility change rate d/da(1/M) of ice body which contains pre-crack and the values of P - Δ under different conditions of Ṗ, which could determine fracture energy release rate G ~ C of ice body during the ice pressure generated, which provide the necessary experimental data to establish ice layer pressure calculation model for the application of energy balance method.

关键词： Ice Materials Loading Force Soil Testing Temperature control

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Novel emotion dynamic express for robot

Novel emotion dynamic express for robot

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International Symposium on Applied Machine Intelligence and Informatics (SAMI)

作者： Dong-Hwa Kim Péter Baranyi Department of Instrumentation and Control Engineering Hanbat National University Daejeon South Korea Head of Cognitive Informatics research group involved in the System and Control Laboratory Computer and Automation Research Institute (MTA-SZTAKI) Hungarian Academy of Sciences Hungary

This paper proposes the novel emotion dynamic equation for emotion implementation like human's emotion. Almost general method use artificial approach such as neutral networks to classify emotion by using speech and face image data for human's emotion recognition. But high-dimension and large size of this data cause low-speed learning in robot system. The main idea of the proposed dynamic equation method is to dynamically express emotion by multi-agent function.

关键词： Robot sensing systems Humans Dynamics Face Equations

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An on-board pan-tilt controller for ground target tracking systems

An on-board pan-tilt controller for ground target tracking s...

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IEEE Conference on control Technology and Applications (CCTA)

作者： Zhekui Xin Yongchun Fang Bin Xian Beijing AeroSpace Automatic Control Institute China Institute of Robotics and Information Automatic System Nankai University Tianjin China Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin China

For a ground target tracking system using an unmanned helicopter, an on-board pan-tilt controller is proposed to adjust the attitude of the camera, so that to keep the target staying at the center of the image plane when the target is in sight. When the target is temporarily out of view due to various reasons, the designed controller will make the camera quickly re-capture the target by estimating its state and then regulating the orientation of the camera correspondingly. Specifically, a novel state transformation is firstly introduced to make the error system independent of the target image. Subsequently, a nonlinear pan-tilt controller is designed for the transformed error system. Lyapunov techniques are then employed to prove that the target tracking error in the image plane is driven to zero exponentially fast. To facilitate the implementation of the constructed controller, a visual estimator is also utilized to obtain the state information of the target even if it is occasionally out of the view of the camera by introducing an effective nonlinear filter. Simulation results are provided to validate the performance of the presented control system.

关键词： Target tracking Cameras Helicopters Jacobian matrices Visualization Robot vision systems

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Piecewise Affine Model Approximation for Unmanned Bicycle

Piecewise Affine Model Approximation for Unmanned Bicycle

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SICE Annual Conference

作者： Sompol Suntharasantic Prachya Rungtweesuk Manop Wongsaisuwan Control System Research Laboratory Department of Electrical Engineering Chulalongkorn University

ISBN: (纸本)9781457707148

This paper presents the methods of how to approximate the nonlinear dynamic system into the Piecewise affine state-space model and an application to controller synthesis based on Piecewise Quadratic stability criterion. Apart from linearization technique, three other methods based on minimizing least-square error have been observed. The average of root mean square error in each affine region is considered as a model selection criteria. controller design using this approximated PWA model is made through Piecewise Quadratic as an LMI problem. These controller gains are finally simulated in the original nonlinear model comparing with the approximated PWA model to verify its validity. The unmanned bicycle with gyroscopic flywheel is selected to illustrate the whole idea in this paper.

关键词： Piecewise affine systems Least-square error Linear approximation Unmanned bicycle

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Voxel based treatment prediction using diffusion anisotropy indices and spatial information in Glioblastoma Multiform tumor

Voxel based treatment prediction using diffusion anisotropy ...

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2011 18th Iranian Conference of Biomedical engineering, ICBME 2011

作者： Sabahi, Hadi Soltanian-Zadeh, Hamid Scarpace, Lisa Mikkelsen, Tom Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran 14395-515 Iran Image Analysis Laboratory Radiology Department Henry Ford Hospital Detroit MI 48202 United States Hermelin Brain Tumor Research Center Neurosurgery Department Henry Ford Health System Detroit MI 48202 United States

ISBN: (纸本)9781467310055

In this paper, we propose a method to predict the outcome of Bevacizumab therapy on Glioblastoma Multiform (GBM) tumors. The method uses diffusion anisotropy indices (DAI) and spatial information to predict the treatment response of each tumor voxel. These DAIs are Fractional Anisotropy, Mean Diffusivity, Relative Anisotropy, and Volume Ratio, extracted from Diffusion Tensor Imaging (DTI) data before treatment. The spatial information is considered as the distance of each tumor voxel from the tumor center, extracted from pre-treatment post-contrast T1-weighted Magnetic Resonance Images (pc-T1-MRI). DAIs and spatial information of each tumor voxel are considered as feature vector. DTI and pc-T1-MRI are gathered before and after the treatment of seven GBM patients. First, DAIs of all brain voxels and the distance of each tumor voxel from the tumor center are calculated. Second, the method registers pre-treatment DAI maps and post-treatment pc-T1-MRI to pre-treatment pc-T1-MRI. Next, the tumor is segmented using thresholding technique from pc-T1-MRI. Then, Gd-enhanced voxels of the pre- and post-treatment pc-T1-MRI are compared to label the feature vectors. Three classifiers were evaluated, including Support Vector Machine, K-Nearest Neighbor, and Artificial Neural Network. Classification results show a preference for K-Nearest Neighbor based on well-established performance measures. © 2011 IEEE.

关键词： Tumors

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