This paper presents a comparison about phase estimation between Hall sensors and sliding mode observer (SMO).The phase estimation result corresponds to the control effect of Permanent-magnet Synchronous Motor (PMSM).Low-resolution Hall-effect sensor is widely used in PMSM because of its good comprehensive performance.Sliding mode observer is a frequently-used algorithm of PMSM sensorless control.The rotor phase estimated by Hall sensors has a good steady-state performance but some ripple or chattering components occur when the rotor is accelerating,decelerating or fluctuating.As a contrast,the phase estimated by SMO has an attractive robustness to speed fluctuation as well as parameter variations but the estimation result has some vibrations under steady condition which is caused by the SMO algorithm itself.This paper contrasts the SMO with Hall sensors in view of control effects both under starting state,steady state and speed fluctuation state.The comparison is illustrated by the phase estimation results and the phase currents response.All the work is realized by Matlab/Simulink and the simulation results show the relative merits of SMO and Hall sensors.

关键词：相位估计；霍尔传感器；滑模观测器；开始；稳定状态；速度波动状态

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Wind turbine generators (WTGs) consist of many different components to convert kinetic energy of the wind into electrical energy for end users. Wind energy is accessed to provide mechanical torque for driving the shaft of the electrical generator. The conversion from wind power to mechanical power is governed by the aerodynamic conversion. The aerodynamicelectrical- conversion efficiency of a WTG is influenced by the efficiency of the blades, the gearbox, the generator, and the power converter

关键词：风能；风力涡轮机；电动发电机；空气动力学

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关键词：生物信号;压缩传感;数据压缩

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关键词：电力系统；谐波检测；D-q变换；基本检测

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A power quality analysis method based on electromechanical-electromagnetic hybrid simulation is proposed.The hybrid simulation for power quality analysis can not only enhance the simulation accuracy,and can realize power quality simulation of large scale power system.Then power quality simulation and assessment system is developed based on ADPSS.The system provides plenty of power quality models and achieves power quality simulation based on electromechanical-electromagnetic hybrid simulation.It will provide guidance and reference for power quality study.The hybrid simulation model of an actual large scale power system is built and voltage sag problems caused by short circuit tests are simulated based on the developed system.Simulation result shows the practicality and effectiveness of power quality simulation and assessment system.

关键词：电力系统；电能质量；仿真与评估系统；混合仿真

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The distributed optical fiber Raman sensor system was widely used for real-time measurement temperature,but the Anti-Stokes and Stokes scattering Raman signal is very weak.In order to improve measurement accuracy the signal must be denoised before obtaining the temperature.In this paper,a new noise cancellation of empirical mode decomposition is proposed for enhancing signal-to-noise ration of the Anti-Stokes and Stokes scattering Raman signal.The signal-to-noise ratio was enhanced by using this method and it is easy to be realized in computer.

关键词：分布式光纤拉曼信号；经验模态分解；信噪比

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The purpose of this research project is to develop new approaches that can impact early diagnosis of breast cancer, post-biopsy analysis, lymph node examinations, and drug delivery studies. The scope of this training involves optimizing Raman instrumentation and methods for efficient illumination and collection of Raman scattered light originating from deep within breast tissue. Experiments encompass designing tissue phantoms using Intralipid , dyes/pigments, inclusions, and agarose gel to quantitatively characterize the instruments' capabilities and performance. Additionally, we conduct spectroscopy on tissue biopsies to correlate spectral bands with healthy and diseased breast tissue. Observed spectral changes are compared to infrared images and H&E/HIS-stained images to relate observed biochemical changes to histology. The Raman data will be used to generate and train classification algorithms for automated histopathology as a starting point for in vivo work at the culmination of this training program. This report outlines progress for year 1 of the 3 year training program. In the approved statement of work 5 tasks were stated. All 5 tasks were successfully completed. We now have a working relationship with local clinicians. We have built-up a comprehensive database consisting of micrographs and IR spectral images for identify breast tissue histology and tissue chemistry. We have acquired Raman measurements on biopsied tissue. We have identified Raman spectral bands that can be used for distinguishing between different tissue types and have applied those Raman spectral bands to achieve cell-level contrast in Raman spectral images. Additionally, we have used clinical observations and interaction with clinicians to develop a conceptual design for a Raman Tomography instrument aimed at breast cancer screening. Finally for Raman tomographic reconstruction, we have evaluated existing diffuse optical tomography algorithms specifically for Raman measurements and have adapted a Monte Carlo framework for our Raman tomographic reconstruction. Through modeling and experimentation, we characterized different instrument configurations and have implemented the transmission fan style configuration into our prototype instrument design which uses fiber-optics in-contact with tissue to give the maximum collection efficiency.

关键词：乳腺癌；在体内分析；病理学；拉曼光谱；组织（生物学）

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In recent years, interest towards wearable sensors and medical monitoring has exploded. Despite e orts to improve health care with medical technology, many people still die today from the lack of proper health management. Bio-sensors can provide long-term, continuous monitoring of key bio-signals and enable proactive personal health management [1]. Since the bio-sensors are worn in some manner, ultra-low power consumption is critical. Conventional sensors use Nyquist sampling to capture key information in bio-signals; hence, the operation is very costly. Compressed sensing exploits data redundancy arising from a low rate of signi cant events in a sparse signal. The data is compressed at the sensor node and therefore, the power required to transmit the compressed information to a receiver (e.g., smartphone) is minimized. The compression factor of a sparse bio-signal can be much larger than one, thus providing signi cant power eciency in wireless sensors.

关键词：穿戴式传感器;医疗监测;生物传感器;压缩传感集成电路

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The information technology (IT) world has changed fundamentally and drastically from running software applications on a single computer with a single CPU to now running software as services in distributed and parallel computing environment. Power system operation has been also shifted from being solely based on off-line planning study to more and more real-time market-driven. Facing these challenges, we will discuss in this chapter how to design power system analysis and simulation software to take advantage of the new IT technologies and to meet the real-time application requirements, using the InterPSS project as a concrete example.

关键词：电力系统；信息技术；电源系统；并行

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SERDP project MR-1712 entitled ?Portable Electromagnetic Induction Sensor with Integrated Positioning? is slightly more than halfway complete. The transmitter (Tx) and receiver (Rx) assemblies are designed and fabricated. The data acquisition (DAQ) electronics consists of the National Instruments (NI) cRIO platform which is much lighter and more efficient that prior DAQ platforms. Software to control the cRIO DAQ process has been written in NI?s LabVIEW. This software has been used to successfully acquire initial data. Inversion of the data acquired during these initial tests has yielded satisfactory polarizabilities of a spherical target. In addition, precise positioning of the Rx assembly has been achieved via position inversion algorithms based solely on the data acquired from the receivers during the on-time of the primary field. Major tasks still to complete include redesigning and integrating new transmitter and filter board control circuitry as well as final cable construction and integration. The LabVIEW programs must also be matured to become more user friendly. A more extensive prove-out is scheduled for May,2012 after which will follow an extensive data analysis. Finally, we intend to go to Aberdeen Proving Ground in the Fall of 2012 to perform a field test of Pedemis, test its protocols, and evaluate its performance.

关键词：传感器；电磁感应；双基地检测数据管理；集成定位

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