Description: 附件程序是我用DSP2812开发的无刷直流电机控制程序，程序是在TI公司的BLDC3_1软件的基础上构造的，实现了无刷直流电机的速度环PID控制，效果可以。
其中，无刷直流电机是有HALL传感器的系统，所以在转速测量上还需要进一步的改进（如果要求精确的话）。电机是24V3000rpm～～～；驱动板是类似TI公司的DMC1500？板卡，所以可以参考它的说明（只针对信号的连接的参考）-Annex I use the procedure is the development of the DSP2812 brushless DC motor control procedures, TI is in the process of BLDC3_1 software companies on the basis of the structure, Implementation of the brushless DC motor velocity loop PID control, the effect can be. Among them, brushless DC motor are HALL sensor system So speed measurements need further improvements (if the precise words). Motor V3000rpm is 24 ~ ~ ~; Market-driven companies like TI DMC1500? Card, we can refer to it (only signal against a reference link) Platform: |
Size: 307534 |
Author:zht |
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Description: 附件程序是我用DSP2812开发的无刷直流电机控制程序，程序是在TI公司的BLDC3_1软件的基础上构造的，实现了无刷直流电机的速度环PID控制，效果可以。
其中，无刷直流电机是有HALL传感器的系统，所以在转速测量上还需要进一步的改进（如果要求精确的话）。电机是24V3000rpm～～～；驱动板是类似TI公司的DMC1500？板卡，所以可以参考它的说明（只针对信号的连接的参考）-Annex I use the procedure is the development of the DSP2812 brushless DC motor control procedures, TI is in the process of BLDC3_1 software companies on the basis of the structure, Implementation of the brushless DC motor velocity loop PID control, the effect can be. Among them, brushless DC motor are HALL sensor system So speed measurements need further improvements (if the precise words). Motor V3000rpm is 24 ~ ~ ~; Market-driven companies like TI DMC1500? Card, we can refer to it (only signal against a reference link) Platform: |
Size: 307200 |
Author:zht |
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Description: Tracking targets with radar is an important step in ensuring safety in such endeavors as air travel or military operations. To account for inherent inaccuracies in raw radar measurements of position, and to obtain accurate velocity data, we implemented an algorithm called the Kalman Filter. The resulting track data was used, in conjunction with algebraic and trigonometric methods, to simulate target interception and collision prevention. Our system led an interceptor aircraft to its target and warned pilots of a potential collision, proving the effectiveness of our filter. Platform: |
Size: 320512 |
Author:Nadir |
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Description: 步进电机的MATLAB仿真程序，采用了卡尔曼滤波，对定子电流进行估计，并估算出转子的位置和速度-Continuous time extended Kalman filter simulation for two-phase step motor，Estimate the stator currents, and the rotor position and velocity, on the
basis of noisy measurements of the stator currents.
Platform: |
Size: 2048 |
Author:李健 |
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Description: 通过卫星的测量方程和状态方程来求解卫星的姿态。包括四元数，角度，角速度等等。-By satellite measurements to solve equations and state equations of satellite attitude. Including the quaternion, angle, angular velocity and so on. Platform: |
Size: 8192 |
Author:zhangsheng |
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Description: Recent developments in MRI applications to rheology and fluid mechanics. Two recent developments using proton MRI
velocimetry are reported, that concern both fields of rheology and of fluid mechanics. The first one is a way to get noticeable
improvement in the signal-to-noise ratio during velocity measurements in a large-size ‘Couette’ rheometer. It opens a route to
improve the study of complex or thixotrope fluids. Platform: |
Size: 279552 |
Author:imen hajri |
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Description: This m file is for reading multiple velocity files generated by PIV measurements or numerical simulaiton into matlab Platform: |
Size: 1024 |
Author:Feng |
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Description: This demonstration shows how to use a Kalman filter to estimate an aircraft s position and velocity from noisy radar measurements. Platform: |
Size: 12288 |
Author:K.SH |
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Description: This paper presents a technique which is based on pattern recognition techniques, in order to estimate
Mobile Terminal (MT) velocity. The proposed technique applies on received signal strength (RSS) measurements
and more precisely on information extracted from Iub air interface, in wideband code-division multiple access
(WCDMA) systems for transmission control purposes. Pattern recognition is performed by Hidden Markov Model
(HMM), which is trained with downlink signal strength measurements for specific areas, employing Clustering
LARge Applications (CLARA) like a clustering method. Accurate results from a single probe vehicle show the
potential of the method, when applied to large scale of MTs. Platform: |
Size: 351232 |
Author:anna |
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Description: 利用AT89C51单片机完成利用超声波发射测量物体间的距离，根据超声波的传播速度计算出物体距离-Using AT89C51 microcontroller to complete emission measurements using ultrasonic distance between objects, based on the ultrasonic propagation velocity to calculate the object distance Platform: |
Size: 1024 |
Author:jiaxue |
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Description: 本次实验来源于opencv自带sample中的例子，该例子是用kalman来完成一个一维的跟踪，即跟踪一个不断变化的角度。在界面中表现为一个点在圆周上匀速跑，然后跟踪该点。看起来跟踪点是个二维的，其实转换成角度就是一维的了。
Kalman滤波理论主要应用在现实世界中个，并不是理想环境。主要是来跟踪的某一个变量的值，跟踪的依据是首先根据系统的运动方程来对该值做预测，比如说我们知道一个物体的运动速度，那么下面时刻它的位置按照道理是可以预测出来的，不过该预测肯定有误差，只能作为跟踪的依据。另一个依据是可以用测量手段来测量那个变量的值，当然该测量也是有误差的，也只能作为依据，不过这2个依据的权重比例不同。最后kalman滤波就是利用这两个依据进行一些列迭代进行目标跟踪的。-This experiment from the examples the opencv own sample, the example is to complete a one-dimensional tracking using kalman, ie, tracking a changing point of view. Performance in the interface as a point in the circle on steady running, then track the points. Looks like the tracking point is a two-dimensional, in fact, convert the angle is one-dimensional. The main application of the Kalman filter theory in the real world, not the ideal environment. Is the value of a variable to keep track of the basis for tracking the first according to the equation of motion of the system to the value forecast, for example, we know the velocity of an object, then the following moment of its location in accordance with the truth can be predicted , but the forecast is certainly a margin of error, only as a basis for tracking. Another is based on measurements to measure the value of that variable, Of course, this measurement error can only be used as the basis of these two basis weights the different pr Platform: |
Size: 339968 |
Author:wuwei |
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Description: This 1985 book provides a summary of the theory and practice of the hot wire anemometer, an instrument
used to measure the speed of fluid flow. Many techniques and uses of this instrument are discussed in
detail. The author considers such topics as probe fouling, probe design, and circuit design, as well as the
thermodynamics of heated wires and thin films. He also discusses measurements of turbulence, shear
flows, vorticity, temperature, combined temperature and velocity, two-phase flows, and compressible flows
for measurements in air, water, mercury, blood, glycerine, oil, luminous gases, and polymer solutions. The
book concludes with a section on the pulsed wire anemometer and other wake-sensing anemometers. This
book assumes a familiarity with basic fluid mechanics. However, mathematical descriptions occur near the
end of each chapter thus allowing those with a limited mathematical background to make use of the
practical details at the beginning of each chapte Platform: |
Size: 36864 |
Author:hoang_px |
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Description: It enables users to input a time-series
of 2-D velocity field data (e.g., DPIV measurements or CFD calculations) and
compute the corresponding finite-time Lyapunov exponent (FTLE) fields, which
Lagrangian Coherent Structures (LCS) suchas vortices and fluid transport barriers
can be identified.- It enables users to input a time-series
of 2-D velocity field data (e.g., DPIV measurements or CFD calculations) and
compute the corresponding finite-time Lyapunov exponent (FTLE) fields, which
Lagrangian Coherent Structures (LCS) suchas vortices and fluid transport barriers
can be identified. Platform: |
Size: 168960 |
Author:yuanke |
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Description: 非完整轮式移动机器人的MATLAB仿真，分为全状态反馈和输出反馈，论文参见 （Shi S, Yu X, Khoo S. Robust finite-time tracking control of nonholonomic mobile robots without velocity measurements[J]. International Journal of Control, 2016, 89(2): 411-423.）-Shi S, Yu X, Khoo S. Robust finite-time tracking control of nonholonomic mobile robots without velocity measurements[J]. International Journal of Control, 2016, 89(2): 411-423. Platform: |
Size: 114688 |
Author:shishang |
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Description: The estimation of target position and velocity is attempted on the basis of angular measurements only. This topic is of
interest for: airborne radar and sonar in passive listening mode, and electronic warfare systems in these cases the target
radiates either an electro-magnetic (e.m.) or an acoustic wave. The measurements are a!ected by white Gaussian noise
the presence of outliers is also considered. Two types of tracking lters are presented: (i) one processes a batch of data, (ii)
the other recursively processes the data-The estimation of target position and velocity is attempted on the basis of angular measurements only. This topic is of
interest for: airborne radar and sonar in passive listening mode, and electronic warfare systems in these cases the target
radiates either an electro-magnetic (e.m.) or an acoustic wave. The measurements are a!ected by white Gaussian noise
the presence of outliers is also considered. Two types of tracking lters are presented: (i) one processes a batch of data, (ii)
the other recursively processes the data Platform: |
Size: 286720 |
Author:Gomaa Haroun |
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