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AI-and-<b>ROBOTics</b>-IBA-GEI-April

  • 飛思卡爾智能車的舵機測試程序

    飛思卡爾智能車的舵機測試程序 #include <hidef.h>      /* common defines and macros */#include <MC9S12XS128.h>     /* derivative information */#pragma LINK_INFO DERIVATIVE "mc9s12xs128" void SetBusCLK_16M(void)             {       CLKSEL=0X00;        PLLCTL_PLLON=1;          //鎖相環電路允許位    SYNR=0x00 | 0x01;        //SYNR=1    REFDV=0x80 | 0x01;          POSTDIV=0x00;            _asm(nop);              _asm(nop);    while(!(CRGFLG_LOCK==1));       CLKSEL_PLLSEL =1;          } void PWM_01(void) {     //舵機初始化   PWMCTL_CON01=1;    //0和1聯合成16位PWM;    PWMCAE_CAE1=0;    //選擇輸出模式為左對齊輸出模式    PWMCNT01 = 0;     //計數器清零;    PWMPOL_PPOL1=1;    //先輸出高電平,計數到DTY時,反轉電平    PWMPRCLK = 0X40;    //clockA 不分頻,clockA=busclock=16MHz;CLK B 16分頻:1Mhz     PWMSCLA = 0x08;    //對clock SA 16分頻,pwm clock=clockA/16=1MHz;         PWMCLK_PCLK1 = 1;   //選擇clock SA做時鐘源    PWMPER01 = 20000;   //周期20ms; 50Hz;    PWMDTY01 = 1500;   //高電平時間為1.5ms;     PWME_PWME1 = 1;   

    標簽: 飛思卡爾智能車 舵機 測試程序

    上傳時間: 2013-11-04

    上傳用戶:狗日的日子

  • 磁芯電感器的諧波失真分析

    磁芯電感器的諧波失真分析 摘  要:簡述了改進鐵氧體軟磁材料比損耗系數和磁滯常數ηB,從而降低總諧波失真THD的歷史過程,分析了諸多因數對諧波測量的影響,提出了磁心性能的調控方向。 關鍵詞:比損耗系數, 磁滯常數ηB ,直流偏置特性DC-Bias,總諧波失真THD  Analysis on THD of the fer rite co res u se d i n i nductancShi Yan Nanjing Finemag Technology Co. Ltd., Nanjing 210033   Abstract:    Histrory of decreasing THD by improving the ratio loss coefficient and hysteresis constant of soft magnetic ferrite is briefly narrated. The effect of many factors which affect the harmonic wave testing is analysed. The way of improving the performance of ferrite cores is put forward.  Key words: ratio loss coefficient,hysteresis constant,DC-Bias,THD  近年來,變壓器生產廠家和軟磁鐵氧體生產廠家,在電感器和變壓器產品的總諧波失真指標控制上,進行了深入的探討和廣泛的合作,逐步弄清了一些似是而非的問題。從工藝技術上采取了不少有效措施,促進了質量問題的迅速解決。本文將就此熱門話題作一些粗淺探討。  一、 歷史回顧 總諧波失真(Total harmonic distortion) ,簡稱THD,并不是什么新的概念,早在幾十年前的載波通信技術中就已有嚴格要求<1>。1978年郵電部公布的標準YD/Z17-78“載波用鐵氧體罐形磁心”中,規定了高μQ材料制作的無中心柱配對罐形磁心詳細的測試電路和方法。如圖一電路所示,利用LC組成的150KHz低通濾波器在高電平輸入的情況下測量磁心產生的非線性失真。這種相對比較的實用方法,專用于無中心柱配對罐形磁心的諧波衰耗測試。 這種磁心主要用于載波電報、電話設備的遙測振蕩器和線路放大器系統,其非線性失真有很嚴格的要求。  圖中  ZD   —— QF867 型阻容式載頻振蕩器,輸出阻抗 150Ω, Ld47 —— 47KHz 低通濾波器,阻抗 150Ω,阻帶衰耗大于61dB,       Lg88 ——并聯高低通濾波器,阻抗 150Ω,三次諧波衰耗大于61dB Ld88 ——并聯高低通濾波器,阻抗 150Ω,三次諧波衰耗大于61dB FD   —— 30~50KHz 放大器, 阻抗 150Ω, 增益不小于 43 dB,三次諧波衰耗b3(0)≥91 dB, DP  —— Qp373 選頻電平表,輸入高阻抗, L ——被測無心罐形磁心及線圈, C  ——聚苯乙烯薄膜電容器CMO-100V-707APF±0.5%,二只。 測量時,所配用線圈應用絲包銅電磁線SQJ9×0.12(JB661-75)在直徑為16.1mm的線架上繞制 120 匝, (線架為一格) , 其空心電感值為 318μH(誤差1%) 被測磁心配對安裝好后,先調節振蕩器頻率為 36.6~40KHz,  使輸出電平值為+17.4 dB, 即選頻表在 22′端子測得的主波電平 (P2)為+17.4 dB,然后在33′端子處測得輸出的三次諧波電平(P3), 則三次諧波衰耗值為:b3(+2)= P2+S+ P3 式中:S 為放大器增益dB 從以往的資料引證, 就可以發現諧波失真的測量是一項很精細的工作,其中測量系統的高、低通濾波器,信號源和放大器本身的三次諧波衰耗控制很嚴,阻抗必須匹配,薄膜電容器的非線性也有相應要求。濾波器的電感全由不帶任何磁介質的大空心線圈繞成,以保證本身的“潔凈” ,不至于造成對磁心分選的誤判。 為了滿足多路通信整機的小型化和穩定性要求, 必須生產低損耗高穩定磁心。上世紀 70 年代初,1409 所和四機部、郵電部各廠,從工藝上改變了推板空氣窯燒結,出窯后經真空罐冷卻的落后方式,改用真空爐,并控制燒結、冷卻氣氛。技術上采用共沉淀法攻關試制出了μQ乘積 60 萬和 100 萬的低損耗高穩定材料,在此基礎上,還實現了高μ7000~10000材料的突破,從而大大縮短了與國外企業的技術差異。當時正處于通信技術由FDM(頻率劃分調制)向PCM(脈沖編碼調制) 轉換時期, 日本人明石雅夫發表了μQ乘積125 萬為 0.8×10 ,100KHz)的超優鐵氧體材料<3>,其磁滯系數降為優鐵

    標簽: 磁芯 電感器 諧波失真

    上傳時間: 2013-12-15

    上傳用戶:天空說我在

  • PLC和變頻器在煙支輸送存儲系統中的應用

    介紹了以PLC為控制單元,變頻器為執行單元的控制系統及其在煙支輸送儲存系統中的應用,并給出了系統的組成、硬件的配置及具體的實現方法。關鍵詞 : PLC 變頻器輸送儲存系統 Ab str ac t;T hisp aperi ntroducest hec ontrols ystem whichc onsistso fP LCa ndf requencyc onvertera ndi ts application in the buffer conveyor for cigarettes. The system constitute, hardware disposal and realization method are also presented in detail.Keywords:PLC f requencyc onverter b ufferc onveyor

    標簽: PLC 變頻器 中的應用 存儲系統

    上傳時間: 2013-10-22

    上傳用戶:ouyang426

  • 最新的支持向量機工具箱

    最新的支持向量機工具箱,有了它會很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999.

    標簽: 支持向量機 工具箱

    上傳時間: 2013-12-16

    上傳用戶:亞亞娟娟123

  • WHAT MIME64 IS: MIME64 is an encoding described in RFC1341 as MIME base64.Its purpose is to encode b

    WHAT MIME64 IS: MIME64 is an encoding described in RFC1341 as MIME base64.Its purpose is to encode binary files into ASCII so that they may be passedthrough e-mail gates. In this regard, MIME64 is similar to UUENCODE.Although most binaries these days are transmitted using UUENCODE, Ihave seen a few using MIME64, and I have had requests from friends thatI decode MIME64 files that have fallen into their hands. As long assome MIME64 continues to exist, a package such as this one is usefulto have.

    標簽: MIME described 64 encoding

    上傳時間: 2013-12-17

    上傳用戶:maizezhen

  • USB Manager(usbmgr) 0.4.8 Shuu Yamaguchi <shuu@wondernetworkresources.com> Special Helper: Phi

    USB Manager(usbmgr) 0.4.8 Shuu Yamaguchi <shuu@wondernetworkresources.com> Special Helper: Philipp Thomas When USB devices connect to or disconnect from a USB hub, the usbmgr works as the following according to configuration. a) It loads and unloads files Linux kernel modules. b) It execute file to setup USB devices.

    標簽: wondernetworkresources Yamaguchi Manager Special

    上傳時間: 2014-01-27

    上傳用戶:zhaiyanzhong

  • 算法ebook(10部算法經典著作的合集) 算法ebook> 10部算法經典著作的合集 chm格式 (1)Fundamentals of Data Structures by Ellis Hor

    算法ebook(10部算法經典著作的合集) 算法ebook> 10部算法經典著作的合集 chm格式 (1)Fundamentals of Data Structures by Ellis Horowitz and Sartaj Sahni (2)Data Structures, Algorithms and Program Style Using C by James F. Korsh and Leonard J. Garrett (3)Data Structures and Algorithm Analysis in C by Mark Allen Weiss (4)Data Structures: From Arrays to Priority Queues by Wayne Amsbury (5)Information Retrieval: Data Structures & Algorithms edited by William B. Frakes and Ricardo Baeza-Yates (6)Introduction to Algorithms by Thomas H. Cormen, Charles E. Leiserson, and Ronald L. Rivest (7)Practical Data Structures in C++ by Bryan Flamig (8)Reliable Data Structures in C by Thomas Plum (9)Data Structures and Algorithms Alfred V. Aho, Bell Laboratories, Murray Hill, New Jersey John E. Hopcroft, Cornell University, Ithaca, New York Jeffrey D. Ullman, Stanford University, Stanford, California (10)DDJ Algorithms and Data Structures Articles

    標簽: ebook Fundamentals Structures Ellis

    上傳時間: 2015-04-04

    上傳用戶:tfyt

  • mp3設計程序資料

    mp3設計程序資料,采用c語言編寫。 README file for yampp-3 source code 2001-05-27 This is the current state of the yampp-3 source code, 2001-05-27. This code is intended to run on Rev. B of the yampp-3 PCB, but can ofcourse be used on compatible systems as well. It still uses the "old" song selection system as the yampp-2. However, the disk handling routines has improved a lot and the obviosly, the new VS1001 handling has been put in. The codesize is almost at it s maximum at 1F40 bytes. A .ROM file is included if you don t have the compiler set up. For now, the documentation is in the code

    標簽: mp3 設計程序

    上傳時間: 2015-04-13

    上傳用戶:小碼農lz

  • prolog 找路例子程序: === === === === === === Part 1-Adding connections Part 2-Simple Path example

    prolog 找路例子程序: === === === === === === Part 1-Adding connections Part 2-Simple Path example | ?- path1(a,b,P,T). will produce the response: T = 15 P = [a,b] ? Part 3 - Non-repeating path As an example, the query: ?- path2(a,h,P,T). will succeed and may produce the bindings: P = [a,depot,b,d,e,f,h] T = 155 Part 4 - Generating a path below a cost threshold As an example, the query: ?- path_below_cost(a,[a,b,c,d,e,f,g,h],RS,300). returns: RS = [a,b,depot,c,d,e,g,f,h] ? RS = [a,c,depot,b,d,e,g,f,h] ? no ==================================

    標簽: Part connections example prolog

    上傳時間: 2015-04-24

    上傳用戶:ljt101007

  • 1.能實現不同的個數的矩陣連乘. 2.最后矩陣大小是8X8. 3是最優的矩陣相乘. 描 述:給定n 個矩陣{A1, A2,...,An}

    1.能實現不同的個數的矩陣連乘. 2.最后矩陣大小是8X8. 3是最優的矩陣相乘. 描 述:給定n 個矩陣{A1, A2,...,An},其中Ai與Ai+1是可乘的,i=1,2…,n-1。考察這n個矩陣的連乘積A1A2...An。矩陣A 和B 可乘的條件是矩陣A的列數等于矩陣B 的行數。若A 是一個p x q矩陣,B是一個q * r矩陣,則其乘積C=AB是一個p * r矩陣,需要pqr次數乘。

    標簽: 矩陣 An 矩陣相乘

    上傳時間: 2013-12-04

    上傳用戶:wang5829

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