天堂国产午夜亚洲专区-少妇人妻综合久久蜜臀-国产成人户外露出视频在线-国产91传媒一区二区三区

當(dāng)前位置:主頁(yè) > 科技論文 > 鑄造論文 >

基于Kalman Filter-GM理論的數(shù)控機(jī)床熱誤差建模研究

發(fā)布時(shí)間:2018-08-02 10:09
【摘要】:隨著“中國(guó)制造2025”計(jì)劃的提出,我國(guó)開始實(shí)施制造強(qiáng)國(guó)三步走戰(zhàn)略。而數(shù)控機(jī)床作為工業(yè)母機(jī),在制造業(yè)中占有重要的地位,因此提高數(shù)控機(jī)床精度是非常有意義的。提高數(shù)控機(jī)床精度方法之一就是對(duì)數(shù)控機(jī)床誤差進(jìn)行建模分析和補(bǔ)償,這篇論文主要圍繞著數(shù)控機(jī)床的誤差測(cè)量和建模分析來寫。在數(shù)控機(jī)床各種誤差源中,熱誤差是數(shù)控機(jī)床等精密加工機(jī)械的最大誤差源之一。根據(jù)國(guó)內(nèi)外研究者的研究?jī)?nèi)容,本文搭建了數(shù)控機(jī)床主軸熱誤差研究平臺(tái),主要從熱誤差測(cè)量、溫度敏感點(diǎn)選擇、建模和模型對(duì)比驗(yàn)證分析四個(gè)方面展開敘述,具體如下:(1)首先搭建數(shù)控機(jī)床熱誤差測(cè)量平臺(tái),然后通過模糊聚類分析和灰色關(guān)聯(lián)分析對(duì)數(shù)控機(jī)床熱誤差測(cè)溫點(diǎn)進(jìn)行優(yōu)化選擇,確保數(shù)據(jù)的有效性和準(zhǔn)確性,為接下來的建模收集和分析數(shù)據(jù)。(2)基于卡爾曼濾波-灰色模型理論(Kalman Filter-GM)建模,能夠有效地減少噪聲對(duì)觀測(cè)值的影響,這樣就可以得到觀測(cè)值比較好的估計(jì),從而確保基于Kalman Filter-GM的數(shù)控機(jī)床熱誤差的有效建模;在建立模型過程中,相比傳統(tǒng)的最小二乘法估計(jì)參數(shù),這種方法更加穩(wěn)健,因此這種模型相對(duì)于傳統(tǒng)的建模來說較好;(3)文中的殘差修正模型是通過模擬值與建模數(shù)據(jù)建立的,這種方法可以讓預(yù)測(cè)效果更好;基于卡爾曼濾波方法通過迭代變形數(shù)據(jù)分別構(gòu)建了幾個(gè)灰色模型,然后通過數(shù)據(jù)融合的方法把這幾個(gè)灰色模型的數(shù)據(jù)進(jìn)行融合,最終得到了預(yù)測(cè)數(shù)據(jù)的最佳估計(jì)值。(4)基于Kalman Filter-GM所建立的數(shù)控機(jī)床熱誤差模型,與傳統(tǒng)的建模方法最小二乘法和最小二乘法支持向量機(jī)的數(shù)控機(jī)床熱誤差建模方法進(jìn)行數(shù)據(jù)對(duì)比分析,最終得出結(jié)論,此種建模方法更好。
[Abstract]:With the proposal of "made in China 2025", China began to implement the three-step strategy of manufacturing power. As an industrial master machine, numerical control machine occupies an important position in the manufacturing industry, so it is very meaningful to improve the precision of numerical control machine tool. One of the methods to improve the accuracy of NC machine tool is to analyze and compensate the error of NC machine tool. This paper is mainly written around the error measurement and modeling analysis of NC machine tool. Among all kinds of error sources, thermal error is one of the biggest error sources of CNC machine tools and other precision machining machines. According to the research content of researchers at home and abroad, this paper builds the research platform of the spindle thermal error of NC machine tool, mainly from four aspects: the measurement of thermal error, the selection of temperature sensitive points, the modeling and the analysis of model comparison and verification. The details are as follows: (1) first, the thermal error measurement platform of NC machine tools is built, and then the temperature measurement points of thermal error are optimized by fuzzy clustering analysis and grey correlation analysis to ensure the validity and accuracy of the data. Collecting and analyzing data for the following modeling. (2) based on Kalman filter-grey model theory (Kalman Filter-GM) modeling, it can effectively reduce the effect of noise on the observed value, so we can get a better estimate of the observed value. In order to ensure the effective modeling of numerical control machine tool thermal error based on Kalman Filter-GM, this method is more robust than the traditional least square method in the process of modeling. Therefore, this model is better than the traditional modeling. (3) the residual correction model in this paper is based on the simulation value and the modeling data, this method can make the prediction effect better; Based on Kalman filtering method, several grey models are constructed by iterative deformation data, and then the data of these grey models are fused by data fusion method. Finally, the best estimate of the predicted data is obtained. (4) the thermal error model of NC machine tool based on Kalman Filter-GM. Compared with the traditional modeling methods, the least square method and the least square support vector machine, the numerical control machine tool thermal error modeling method is compared and analyzed. Finally, it is concluded that this modeling method is better.
【學(xué)位授予單位】:蘭州理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TG659

【相似文獻(xiàn)】

相關(guān)期刊論文 前3條

1 陳罡;;數(shù)控機(jī)床在大學(xué)生實(shí)踐教學(xué)中的應(yīng)用及存在的問題[J];價(jià)值工程;2014年17期

2 田文杰;牛文鐵;常文芬;張大衛(wèi);;數(shù)控機(jī)床幾何精度溯源方法研究[J];機(jī)械工程學(xué)報(bào);2014年07期

3 蔣麗;;零件的數(shù)控加工工藝分析[J];價(jià)值工程;2014年17期

相關(guān)碩士學(xué)位論文 前10條

1 李橋林;基于Kalman Filter-GM理論的數(shù)控機(jī)床熱誤差建模研究[D];蘭州理工大學(xué);2017年

2 鄭博;一種數(shù)控機(jī)床狀態(tài)監(jiān)控系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn)[D];鄭州大學(xué);2017年

3 姚蕊;基于產(chǎn)品族DNA的數(shù)控機(jī)床造型分析與再設(shè)計(jì)[D];西安理工大學(xué);2017年

4 張心羽;基于過程數(shù)據(jù)分析的數(shù)控機(jī)床狀態(tài)預(yù)測(cè)及故障預(yù)警研究[D];電子科技大學(xué);2017年

5 曾翠蘭;基于多元相空間重構(gòu)的數(shù)控機(jī)床運(yùn)動(dòng)精度預(yù)測(cè)[D];重慶理工大學(xué);2017年

6 韓佳偉;基于CAN通信的DNC系統(tǒng)智能轉(zhuǎn)換模塊設(shè)計(jì)[D];蘭州交通大學(xué);2017年

7 丁敏;基于視覺感知場(chǎng)的數(shù)控機(jī)床人機(jī)界面優(yōu)化設(shè)計(jì)研究[D];合肥工業(yè)大學(xué);2017年

8 張堯;基于PMAC的數(shù)控機(jī)床誤差實(shí)時(shí)補(bǔ)償研究[D];蘭州理工大學(xué);2017年

9 謝春秋;基于OPC UA的數(shù)控機(jī)床遠(yuǎn)程監(jiān)控系統(tǒng)研究[D];蘭州理工大學(xué);2017年

10 沈榮成;i-DNC設(shè)備聯(lián)網(wǎng)監(jiān)控系統(tǒng)的研究[D];江南大學(xué);2017年



本文編號(hào):2159094

資料下載
論文發(fā)表

本文鏈接:http://www.sikaile.net/kejilunwen/jiagonggongyi/2159094.html


Copyright(c)文論論文網(wǎng)All Rights Reserved | 網(wǎng)站地圖 |

版權(quán)申明:資料由用戶bfd0d***提供,本站僅收錄摘要或目錄,作者需要?jiǎng)h除請(qǐng)E-mail郵箱bigeng88@qq.com