基于LabVIEW的工頻信號采樣分析與仿真

電氣工程論文編號:DQ025    論文字數:10768,頁數:30

摘  要 - 1 -
Abstract - 2 -
1．引言 - 4 -
1.1 背景 - 4 -
1.2 研究內容 - 5 -
2.編程環境 - 5 -
2.1虛擬儀器簡述 - 5 -
2.2 LabVIEW簡述 - 7 -
2.3 Labview的優勢 - 7 -
3 三種同步采樣法 - 10 -
3.1 雙速率同步采樣法的研究 - 11 -
3.1.1 雙速率同步采樣法 - 11 -
3.1.2 改進的雙速率同步采樣法 - 11 -
3.2 偏差累積增量法的研究 - 12 -
3.2.1 偏差累積增量法 - 12 -
3.2.1 改進的偏差累積增量法 - 12 -
3.3 采樣參數自尋優的研究 - 13 -
3.3.1 采樣參數自尋優 - 13 -
3.3.2 校正參數自尋優 - 14 -
4 三種算法在LabVIEW中的實現 - 15 -
4.1 模擬信號產生 - 16 -
4.2  雙速率采樣法 - 19 -
4.3 偏差累積增量法 - 21 -
4.4 參數自尋優采樣法 - 22 -
5 三種同步采樣法的比較分析 - 26 -
6總  結 - 28 -
致 謝 - 29 -
參考文獻 - 30 -

摘  要
 
 軟件同步是數字化測量工頻信號常用的采樣方法。國內學者在工頻周期信號的軟件同步采樣方面做了大量卓有成效的工作, 提出比較典型的采樣方法有: 雙速率同步采樣法、偏差累積增量法、參數自尋優等間隔同步采樣法等。
 本畢業設計通過美國NI公司推出的虛擬儀器開發平臺軟件LabVIEW作為編程環境，LabVIEW是通用的編程系統，有一個完成任何編程任務的龐大函數庫。LabVIEW采用圖形化編程語言--G語言進行編程，這種編程方法使枯燥的編程變的有趣。
 本文首先闡述了編程環境的選擇，然后討論三種采樣法的主要算法，并通過圖形編程把這三種算法在LabVIEW中實現。詳細論述了三種同步采樣法的思路和主要的運算方法，并討論了這些算法的一些改進措施。
關鍵字：同步采樣   工頻信號   LabVIEW   運算方法

Abstract

Synchronization software is measuring the frequency of digital signals commonly used sampling methods. Mainland scholars in the frequency signal cycle of software synchronous sampling done a lot of fruitful work, a more typical sampling methods: Double-rate synchronous sampling method, the error accumulated incremental method, parameter self-synchronous sampling interval Excellence in Law.
The graduation project launched by the United States NI virtual instrument software development platform as LabVIEW programming environment, LabVIEW is a common programming system, there is a complete any of the huge task of programming functions. LabVIEW using graphical programming language - G programming language, this programming method to change the programming boring interesting.
This paper described the programming environment of choice, and then discuss three main method of sampling method, and through these three kinds of graphical programming in LabVIEW algorithm to achieve. Discusses in detail the three synchronous sampling of the main ideas and methods of operation, and discussed some of these algorithms improvement measures.

Keywords: simultaneous Sampling  , the frequency signal , LabVIEW,algorithms