Arduino 是一塊基于開放原始代碼的Simple i/o 平臺，并且具有使用類似java,C 語言的開發(fā)環(huán)境。讓您可以快速 使用Arduino 語言與Flash 或Processing…等軟件，作出互動作品。Arduino 可以使用開發(fā)完成的電子元件例如Switch 或Sensors 或其他控制器、ＬＥＤ、步進(jìn)電機或其他輸出裝置。Arduino 也可以獨立運作成為一個可以跟軟件溝通的平臺，例如說：flash processing Max/MSP VVVV 或其他互動軟件… Arduino 開發(fā)ＩＤＥ界面基于開放原始碼原則，可以讓您免費下載使用開發(fā)出更多令人驚奇的互動作品。 什么是Roboduino? DFRduino 與Arduino 完全兼容，只是在原來的基礎(chǔ)上作了些改進(jìn)。Arduino 的IO 使用的孔座，做互動作品需要面包板和針線搭配才能進(jìn)行，而DFRduino 的IO 使用針座，使用我們的杜邦線就可以直接把各種傳感器連接到DFRduino 上。 特色描述 1． 開放原始碼的電路圖設(shè)計，程式開發(fā)界面免費下載，也可依需求自己修改!! 2． DFRduino 可使用ISP 下載線，自我將新的IC 程序燒入「bootloader」； 3． 可依據(jù)官方電路圖，簡化DFRduino 模組，完成獨立云作的微處理控制器； 4． 可簡單地與傳感器、各式各樣的電子元件連接(如：紅外線,超聲波,熱敏電阻,光敏電阻,伺服電機等)； 5． 支援多樣的互動程式 如: Flash,Max/Msp,VVVV,PD,C,Processing 等； 6． 使用低價格的微處理控制器(ATMEGA168V-10PI)； 7． USB 接口，不需外接電源，另外有提供9VDC 輸入接口； 8． 應(yīng)用方面，利用DFRduino，突破以往只能使用滑鼠，鍵盤，CCD 等輸入的裝置的互動內(nèi)容，可以更簡單地達(dá)成單人或多人游戲互動。 性能描述 1． Digital I/O 數(shù)字輸入/輸出端共 0~13。 2． Analog I/O 模擬輸入/輸出端共 0~5。 3． 支持USB 接口協(xié)議及供電(不需外接電源)。 4． 支持ISP 下載功能。 5． 支持單片機TX/RX 端子。 6． 支持USB TX/RX 端子。 7． 支持AREF 端子。 8． 支持六組PWM 端子(Pin11,Pin10,Pin9，Pin6,Pin5,Pin3)。 9． 輸入電壓：接上USB 時無須外部供電或外部5V~9V DC 輸入。 10．輸出電壓：5V DC 輸出和3.3V DC 輸出 和外部電源輸入。 11．采用Atmel Atmega168V-10PI 單片機。 12．DFRduino 大小尺寸：寬70mm X 高54mm。 Arduino開發(fā)板圖片
上傳時間： 2013-10-30
上傳用戶：wangzhen1990
Digital cameras have become increasingly popular over the last few years. Digital imagingtechnology has grown to new markets including cellular phones and PDA devices. With thediverse marketplace, a variety of imaging technology must be available. Imaging technologyhas expanded to include both charge-coupled device (CCD) and CMOS image Sensors.
標(biāo)簽： CoolRunner-II XAPP CPLD 390
上傳時間： 2013-10-16
上傳用戶：18710733152
為了提高直接轉(zhuǎn)矩控制（DTC）系統(tǒng)定子磁鏈估計精度，降低電流、電壓測量的隨機誤差，提出了一種基于擴(kuò)展卡爾曼濾波（EKF）實現(xiàn)異步電機轉(zhuǎn)子位置和速度估計的方法。擴(kuò)展卡爾曼濾波器是建立在基于旋轉(zhuǎn)坐標(biāo)系下由定子電流、電壓、轉(zhuǎn)子轉(zhuǎn)速和其它電機參量所構(gòu)成的電機模型上，將定子電流、定子磁鏈、轉(zhuǎn)速和轉(zhuǎn)子角位置作為狀態(tài)變量，定子電壓為輸入變量，定子電流為輸出變量，通過對磁鏈和轉(zhuǎn)速的閉環(huán)控制提高定子磁鏈的估計精度，實現(xiàn)了異步電機的無速度傳感器直接轉(zhuǎn)矩控制策略，仿真結(jié)果驗證了該方法的可行性,提高了直接轉(zhuǎn)矩的控制性能。 Abstract: In order to improve the Direct Torque Control（DTC） system of stator flux estimation accuracy and reduce the current， voltage measurement of random error， a novel method to estimate the speed and rotor position of asynchronous motor based on extended Kalman filter was introduced. EKF was based on d-p axis motor and other motor parameters （state vector: stator current， stator flux linkage， rotor angular speed and position； input: stator voltage； output: staror current). EKF was designed for stator flux and rotor speed estimation in close-loop control. It can improve the estimated accuracy of stator flux. It is possible to estimate the speed and rotor position and implement asynchronous motor drives without position and speed Sensors. The simulation results show it is efficient and improves the control performance.
標(biāo)簽： EKF 異步電機 直接轉(zhuǎn)矩 控制系統(tǒng)
上傳時間： 2015-01-02
上傳用戶：qingdou
Delta-sigma ADCs, with their high accuracy and high noiseimmunity, are ideal for directly measuring many typesof Sensors. Nevertheless, input sampling currents canoverwhelm high source impedances or low-bandwidth,micropower signal conditioning circuits. The LTC®2484family of delta sigma converters solves this problem bybalancing the input currents, thussimplifying or eliminatingthe need for signal conditioning circuits.
上傳時間： 2015-01-03
上傳用戶：潛水的三貢
Rotating shafts experience a an elliptical motion called whirl. It is important to decompose this motion into a forward and backward whil orbits. The current function makes use of two Sensors to generate a bi-directional spectrogram. The method can be extended to any time-frequency distribution ％ ％ compute the forward/backward Campbell/specgtrogram ％ ％ INPUT: ％ y (n x 2) each column is measured from a different sensor ％ /////// ％ __ ％ |s1| y(:,1) ％ |__| ％ __ ％ / \ ________|/ ％ | | | s2 |/ y(:,2) ％ \____/ --------|/ ％ ％ Fs Sampling frequnecy ％ ％ OUTPUT: ％ B spectrogram/Campbel diagram ％ x x-axis coordinate vector (time or Speed) ％ y y-axis coordinate vector (frequency [Hz])
標(biāo)簽： experience elliptical decompose important
上傳時間： 2015-06-23
上傳用戶：372825274
The Network Security Response Framework (NSRF) allows for testing different computer security response engines and methodologies. It supports simulated and real: Intrusion Detection Systems (Sensors), Attacks, and Responses.
標(biāo)簽： Framework different Security Response
上傳時間： 2013-12-03
上傳用戶：ippler8
we present real-time particle filters, which make use of all sensor information even when the filter update rate is below the update rate of the Sensors.
標(biāo)簽： information real-time particle present
上傳時間： 2016-05-08
上傳用戶：頂?shù)弥?/p>
這篇英文論文主要介紹了基于TI公司TMS320C24x的直流無刷電機控制。A complete solution proposal is presented below: control structures, power hardware topology, shaft position Sensors, control hardware and remarks on energy conversion efficiency can be found in this document.
標(biāo)簽： presented complete solution proposal
上傳時間： 2013-12-24
上傳用戶：極客
This paper presents a visual based localization mechanism for a legged robot. Our proposal, fundamented on a probabilistic approach, uses a precompiled topological map where natural landmarks like doors or ceiling lights are recognized by the robot using its on-board camera. Experiments have been conducted using the AIBO Sony robotic dog showing that it is able to deal with noisy Sensors like vision and to approximate world models representing indoor ofce environments. The two major contributions of this work are the use of this technique in legged robots, and the use of an active camera as the main sensor
標(biāo)簽： localization mechanism presents proposal
上傳時間： 2016-11-04
上傳用戶：dianxin61
This approach addresses two difficulties simultaneously: 1) the range limitation of mobile robot Sensors and 2) the difficulty of detecting buildings in monocular aerial images. With the suggested method building outlines can be detected faster than the mobile robot can explore the area by itself, giving the robot an ability to “see” around corners. At the same time, the approach can compensate for the absence of elevation data in segmentation of aerial images. Our experiments demonstrate that ground-level semantic information (wall estimates) allows to focus the segmentation of the aerial image to find buildings and produce a ground-level semantic map that covers a larger area than can be built using the onboard Sensors.
標(biāo)簽： simultaneously difficulties limitation addresses
上傳時間： 2014-06-11
上傳用戶：waitingfy
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