基于擴展卡爾曼濾波器的交流異步電機轉速和轉子磁鏈觀測器
發(fā)布時間：2018-08-09 09:08
【摘要】：二十一世紀以來,隨著電力電子器件、計算機技術的飛速發(fā)展,使得芯片以及很多微電子器件有了很大的進步,對感應電機數字化控制系統(tǒng)以及無速度傳感器的研究和發(fā)展產生了很大的推動作用。 論文首先對近年來交流電機變頻調速發(fā)展的狀況做了一個綜述,介紹了幾個比較常見的無速度傳感器的發(fā)展以及優(yōu)劣點。并重點介紹了三相異步電機的幾種不同坐標系下的數學模型。闡述了轉子磁場定向的基本原理。 本文隨后介紹了一個基于反電動勢法的異步電機無速度傳感器矢量控制方法,講述了這種方法的控制理論并且介紹了轉速外環(huán)以及電流內環(huán)調節(jié)器參數運用工程設計原理整定的方法,然后在MATLAB/Simulink環(huán)境下構造了一個基于BEMF算法的無速度傳感器異步電機矢量控制系統(tǒng)來驗證BEMF的性能并給出仿真結果 本文主要介紹了另一種無速度傳感器的算法,即擴展卡爾曼濾波算法,介紹了擴展卡爾曼濾波的發(fā)展、思想以及算法流程。隨后利用MATLAB/Simulink搭建了基于擴展卡爾曼濾波(EKF)的矢量控制系統(tǒng),仿真結果驗證了EKF的優(yōu)良性能,同時也指出EKF的缺點。 最后實驗部分是基于Renesas公司的RX62T芯片的單片機系統(tǒng),通過CubeSuit+軟件編譯環(huán)境,然后對EKF進行模塊化程序的編寫,通過軟件實現擴展卡爾曼濾波。實驗結果良好,表明了EKF算法可行。
[Abstract]:Since the 21 century, with the rapid development of power electronic devices and computer technology, chips and many microelectronic devices have made great progress. The research and development of induction motor digital control system and sensorless speed sensor have been greatly promoted. Firstly, this paper summarizes the development of AC motor speed regulation by frequency conversion in recent years, and introduces several common speed sensorless developments and advantages and disadvantages. The mathematical models of three-phase asynchronous motor in different coordinate systems are introduced. The basic principle of rotor magnetic field orientation is described. This paper then introduces a speed sensorless vector control method for asynchronous motor based on backEMF. This paper describes the control theory of this method and introduces the method of setting the parameters of the external loop and the current inner loop regulator using the engineering design principle. Then a speed sensorless asynchronous motor vector control system based on BEMF algorithm is constructed in MATLAB/Simulink environment to verify the performance of BEMF and the simulation results are given. This paper mainly introduces another speed sensorless algorithm. This paper introduces the development, idea and algorithm flow of extended Kalman filter (EKF). Then a vector control system based on extended Kalman filter (EKF) is built by using MATLAB/Simulink. The simulation results verify the excellent performance of EKF and point out the shortcomings of EKF. The last part of the experiment is based on Renesas RX62T chip MCU system, through the CubeSuit software compilation environment, and then the EKF modular programming, through the software to achieve extended Kalman filter. The experimental results show that the EKF algorithm is feasible.
【學位授予單位】：北方工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TN713;TM343
本文編號：2173612
[Abstract]:Since the 21 century, with the rapid development of power electronic devices and computer technology, chips and many microelectronic devices have made great progress. The research and development of induction motor digital control system and sensorless speed sensor have been greatly promoted. Firstly, this paper summarizes the development of AC motor speed regulation by frequency conversion in recent years, and introduces several common speed sensorless developments and advantages and disadvantages. The mathematical models of three-phase asynchronous motor in different coordinate systems are introduced. The basic principle of rotor magnetic field orientation is described. This paper then introduces a speed sensorless vector control method for asynchronous motor based on backEMF. This paper describes the control theory of this method and introduces the method of setting the parameters of the external loop and the current inner loop regulator using the engineering design principle. Then a speed sensorless asynchronous motor vector control system based on BEMF algorithm is constructed in MATLAB/Simulink environment to verify the performance of BEMF and the simulation results are given. This paper mainly introduces another speed sensorless algorithm. This paper introduces the development, idea and algorithm flow of extended Kalman filter (EKF). Then a vector control system based on extended Kalman filter (EKF) is built by using MATLAB/Simulink. The simulation results verify the excellent performance of EKF and point out the shortcomings of EKF. The last part of the experiment is based on Renesas RX62T chip MCU system, through the CubeSuit software compilation environment, and then the EKF modular programming, through the software to achieve extended Kalman filter. The experimental results show that the EKF algorithm is feasible.
【學位授予單位】：北方工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TN713;TM343
【參考文獻】
相關期刊論文 前10條
1 曹霄;丁榮軍;王堅;;基于高頻信號注入法辨識轉速在異步電動機無速度傳感器控制系統(tǒng)中的應用[J];變流技術與電力牽引;2007年01期
2 李華德;楊立永;;交流電動機矢量控制變壓變頻調速系統(tǒng)(四) 第四講 異步電動機在兩相靜止坐標系和兩相旋轉坐標系上的數學模型[J];變頻器世界;2007年02期
3 李劍飛,尹泉,萬淑蕓;基于擴展卡爾曼濾波器的異步電機轉速辨識[J];電工技術學報;2002年05期
4 陳世浩;馮曉云;李官軍;王利軍;;基于轉子磁場定向的異步電機矢量控制仿真研究[J];電氣技術;2008年03期
5 徐凱;;基于擴展卡爾曼濾波算法的異步電機轉速辨識性能評估[J];電氣自動化;2008年04期
6 黃智武,何繼愛,田亞菲,王博,陳健;采用擴展卡爾曼濾波實現無傳感的調速系統(tǒng)仿真[J];甘肅科學學報;2005年02期
7 徐濤;張正斌;;基于擴展卡爾曼濾波器的永磁同步電機控制系統(tǒng)仿真[J];電機技術;2013年06期
8 朱仲邃;;卡爾曼濾波在異步電機中的應用研究[J];甘肅科技;2014年05期
9 石燕宏,金元浩,閆士杰;Clarke和Park變換在DSP上的實現[J];基礎自動化;2000年02期
10 周友,黃立培,陳杰,李永東;異步電機轉子磁場定向無速度傳感器矢量控制方法[J];清華大學學報(自然科學版);1999年03期
，本文編號：2173612
本文鏈接：http://www.sikaile.net/kejilunwen/dianzigongchenglunwen/2173612.html
