發(fā)布時(shí)間：2018-04-19 01:12

  本文選題：寄生式時(shí)柵 + 不確定度評(píng)定改進(jìn)方案　； 參考：《安徽理工大學(xué)》2017年碩士論文

【摘要】：目前已有的寄生式時(shí)柵傳感器不確定度評(píng)定方案沒(méi)有建立傳感器加工誤差、安裝誤差以及多普勒效應(yīng)與總不確定度之間的傳遞關(guān)系,寄生式時(shí)柵也沒(méi)有建立高精度的動(dòng)態(tài)測(cè)量誤差修正模型,其結(jié)構(gòu)只是依據(jù)實(shí)驗(yàn)經(jīng)驗(yàn)設(shè)計(jì),缺少指導(dǎo)結(jié)構(gòu)優(yōu)化設(shè)計(jì)的理論依據(jù)。為了建立更全面的寄生式時(shí)柵不確定度評(píng)定體系,本文對(duì)原有的寄生式時(shí)柵不確定度評(píng)定方案進(jìn)行改進(jìn),建立傳感器加工誤差、安裝誤差以及多普勒效應(yīng)與總不確定度之間的傳遞關(guān)系。為了建立高精度的寄生式時(shí)柵動(dòng)態(tài)測(cè)量誤差模型,本文以84對(duì)極寄生式時(shí)柵為研究對(duì)象,設(shè)計(jì)實(shí)驗(yàn)采集寄生式時(shí)柵整圓周動(dòng)態(tài)誤差,分析動(dòng)態(tài)誤差各個(gè)成分與誤差來(lái)源的對(duì)應(yīng)關(guān)系,選用插入標(biāo)準(zhǔn)值的貝葉斯預(yù)測(cè)算法建立寄生式時(shí)柵整圓周動(dòng)態(tài)誤差模型,另選用三次樣條插值和BP神經(jīng)網(wǎng)絡(luò)建模方法對(duì)寄生式時(shí)柵整圓周動(dòng)態(tài)誤差建模,并與之對(duì)比。驗(yàn)證結(jié)果表明,貝葉斯插入標(biāo)準(zhǔn)值建模方法可在較短的時(shí)間以較少的數(shù)據(jù)量獲得較高的建模精度。利用Ansoft Maxwell仿真分析傳感器安裝誤差和多普勒效應(yīng)對(duì)寄生式時(shí)柵測(cè)量精度的影響,并設(shè)計(jì)實(shí)驗(yàn)進(jìn)行驗(yàn)證。從仿真和實(shí)驗(yàn)結(jié)果可知,測(cè)頭與轉(zhuǎn)子的間隙越小,傳感器測(cè)量精度越高,實(shí)驗(yàn)確定的最佳安裝間隙為0.2mm;測(cè)頭的俯仰角和偏擺角變化對(duì)測(cè)量精度的影響規(guī)律復(fù)雜,故文中建立相應(yīng)的誤差補(bǔ)償模型;隨著轉(zhuǎn)子轉(zhuǎn)速增大,多普勒效應(yīng)對(duì)傳感器測(cè)量精度的影響越大。為了實(shí)時(shí)修正寄生式時(shí)柵安裝誤差引起的傳感器測(cè)量誤差,將渦流傳感器結(jié)構(gòu)耦合進(jìn)寄生式時(shí)柵傳感器結(jié)構(gòu)中,利用三點(diǎn)法誤差分離技術(shù)實(shí)時(shí)測(cè)量被測(cè)對(duì)象轉(zhuǎn)角,實(shí)時(shí)補(bǔ)償寄生式時(shí)柵因安裝誤差導(dǎo)致的測(cè)角誤差,從而設(shè)計(jì)一種自補(bǔ)償式寄生式時(shí)柵傳感器,對(duì)其機(jī)械結(jié)構(gòu)和處理電路進(jìn)行設(shè)計(jì),利用Ansoft Maxwell對(duì)傳感器感應(yīng)信號(hào)進(jìn)行仿真分析。本文對(duì)已有的寄生式時(shí)柵不確定度評(píng)定方案進(jìn)行了改進(jìn),建立了高精度的寄生式時(shí)柵整圓周動(dòng)態(tài)誤差模型,分析了安裝誤差與多普勒效應(yīng)對(duì)傳感器測(cè)量精度的影響。為了消除安裝誤差的影響,設(shè)計(jì)了一種自補(bǔ)償寄生式時(shí)柵傳感器。
[Abstract]:The existing methods for evaluating the uncertainty of parasitic time grating sensors have not established the processing error, installation error and the transfer relationship between Doppler effect and total uncertainty.The parasitic time-grid has not established a high-precision dynamic measurement error correction model, and its structure is only designed according to the experimental experience, and lacks the theoretical basis to guide the optimization design of the structure.In order to establish a more comprehensive evaluation system of parasitic time-grid uncertainty, the original evaluation scheme of parasitic time-grid uncertainty is improved in this paper, and the sensor machining error is established.The transfer relationship between the installation error and the Doppler effect and the total uncertainty.In order to establish a high precision dynamic measurement error model of parasitic time grating, 84 pairs of parasitic time gratings are taken as the research object in this paper, and the experimental data are designed to collect the whole circle dynamic errors of parasitic time gratings.Based on the analysis of the relationship between the components of dynamic error and the source of error, the Bayesian prediction algorithm with standard values is used to establish the dynamic error model of parasitic time grid.In addition, cubic spline interpolation and BP neural network are used to model the dynamic error of parasitic time grating.The results show that the Bayesian insertion standard value modeling method can achieve higher modeling accuracy with less data in a short time.The influence of sensor installation error and Doppler effect on the measurement accuracy of parasitic time grating is analyzed by Ansoft Maxwell simulation, and the experiment is designed to verify it.The results of simulation and experiment show that the smaller the gap between the probe and the rotor, the higher the measuring accuracy of the sensor, and the optimum installation clearance determined by the experiment is 0.2mm. the influence of the pitch angle and the yaw angle of the probe on the measurement accuracy is complex.Therefore, the corresponding error compensation model is established in this paper, and with the increase of rotor speed, the effect of Doppler effect on the measurement accuracy of the sensor is greater.In order to correct the sensor measurement error caused by parasitic time grid installation error in real time, the eddy current sensor structure is coupled into the parasitic time grating sensor structure, and the rotation angle of the measured object is measured in real time by using the three-point error separation technique.In order to compensate the angle measurement error caused by the installation error of parasitic time grating in real time, a self-compensating parasitic time grating sensor is designed, its mechanical structure and processing circuit are designed, and the sensing signal of the sensor is simulated and analyzed by Ansoft Maxwell.In this paper, the existing schemes for evaluating the uncertainty of parasitic time-grid are improved, and a high-precision dynamic error model of parasitic time-grating is established. The effects of installation error and Doppler effect on the measurement accuracy of the sensor are analyzed.In order to eliminate the influence of installation error, a self-compensating parasitic time grating sensor is designed.
【學(xué)位授予單位】：安徽理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP212

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