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印刷電路板光學(xué)檢測(cè)定位平臺(tái)系統(tǒng)的設(shè)計(jì)及應(yīng)用

發(fā)布時(shí)間:2018-07-11 14:09

  本文選題:光學(xué)檢測(cè) + 定位平臺(tái)。 參考:《北京工業(yè)大學(xué)》2015年碩士論文


【摘要】:自動(dòng)光學(xué)檢測(cè)技術(shù)在電路板質(zhì)量檢測(cè)中有著廣泛的應(yīng)用。定位平臺(tái)作為光學(xué)檢測(cè)技術(shù)的關(guān)鍵設(shè)備,其定位精度和運(yùn)動(dòng)速度直接影響電路板質(zhì)量檢測(cè)結(jié)果的準(zhǔn)確性和工作效率。因此,迫切需要研究開(kāi)發(fā)快速高精度的定位平臺(tái)。為此,本文設(shè)計(jì)了用于自動(dòng)光學(xué)檢測(cè)的快速高精度定位平臺(tái)系統(tǒng)。本文的主要內(nèi)容如下:(1)完成定位平臺(tái)的硬件系統(tǒng)的總體設(shè)計(jì),并在實(shí)驗(yàn)室條件下搭建了定位平臺(tái)樣機(jī)。采用永磁同步電機(jī)驅(qū)動(dòng)滾珠絲杠實(shí)現(xiàn)運(yùn)動(dòng)軸直線運(yùn)動(dòng),直線光柵尺作為位置測(cè)量裝置,構(gòu)建平臺(tái)的伺服閉環(huán)控制系統(tǒng)。(2)建立定位平臺(tái)運(yùn)動(dòng)軸模型。分析了工業(yè)上常用的定位控制算法,采用前饋加PID反饋控制的復(fù)合控制算法進(jìn)行平臺(tái)定位控制。在Matlab/Simulink環(huán)境下,構(gòu)建仿真模型進(jìn)行仿真。獲得了加入與未加入復(fù)合控制算法兩種情況下的仿真結(jié)果,以驗(yàn)證該控制算法對(duì)伺服控制系統(tǒng)的控制效果分析。(3)將前饋加PID反饋控制的復(fù)合控制算法應(yīng)用于ACR9000控制器中,通過(guò)反復(fù)調(diào)整控制參數(shù),使其滿足伺服控制系統(tǒng)的穩(wěn)定性和動(dòng)態(tài)性的指標(biāo),達(dá)到平臺(tái)定位高精度、高速度的設(shè)計(jì)要求。(4)基于動(dòng)態(tài)鏈接庫(kù)和VC++6.0開(kāi)發(fā)了平臺(tái)的軟件系統(tǒng),包括運(yùn)動(dòng)測(cè)試、PCB板定位孔檢測(cè)與定位和通訊等功能模塊。(5)對(duì)平臺(tái)定位精度進(jìn)行實(shí)驗(yàn)測(cè)試,驗(yàn)證了平臺(tái)本身的設(shè)計(jì)性能指標(biāo)。然后將平臺(tái)樣機(jī)應(yīng)用于PCB板定位孔的定位實(shí)驗(yàn),結(jié)果進(jìn)一步表明本文研究設(shè)計(jì)的定位平臺(tái)能夠滿足自動(dòng)光學(xué)檢測(cè)系統(tǒng)的定位要求。仿真實(shí)驗(yàn)和實(shí)測(cè)實(shí)驗(yàn)結(jié)果表明,本文設(shè)計(jì)的定位平臺(tái)定位精度達(dá)到了設(shè)計(jì)指標(biāo),能夠滿足印刷電路板光學(xué)檢測(cè)的性能要求。
[Abstract]:Automatic optical detection technology has been widely used in circuit board quality testing. As the key equipment of optical detection technology, the positioning accuracy and moving speed of the positioning platform directly affect the accuracy and efficiency of the quality test results of the circuit board. Therefore, there is an urgent need to research and develop a fast and high precision positioning platform. Therefore, a fast and high precision positioning platform system for automatic optical detection is designed in this paper. The main contents of this paper are as follows: (1) the overall design of the hardware system of the positioning platform is completed, and the prototype of the positioning platform is built in the laboratory. The linear motion of the moving axis is realized by using the ball screw driven by the permanent magnet synchronous motor, and the linear grating ruler is used as the position measuring device to construct the servo closed-loop control system of the platform. (2) the moving axis model of the positioning platform is established. The commonly used positioning control algorithm in industry is analyzed, and the compound control algorithm based on feedforward and pid feedback control is used for platform positioning control. In Matlab / Simulink environment, the simulation model is built to simulate. The simulation results of adding and not adding compound control algorithm are obtained to verify the control effect of the control algorithm on servo control system. (3) the compound control algorithm with feedforward plus pid feedback control is applied to ACR9000 controller. By adjusting the control parameters repeatedly to meet the stability and dynamic index of servo control system, the design requirements of high precision and high speed of platform positioning are achieved. (4) based on dynamic link library and VC 6.0, the software system of the platform is developed. Including the motion test PCB board positioning hole detection and positioning and communication functional modules. (5) the platform positioning accuracy of the experimental test to verify the platform itself design performance index. Then the prototype of the platform is applied to the positioning experiment of PCB board, and the results show that the positioning platform designed in this paper can meet the requirements of the automatic optical detection system. The simulation and experimental results show that the positioning accuracy of the platform is up to the design target and can meet the performance requirements of printed circuit board optical detection.
【學(xué)位授予單位】:北京工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:TN41

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