Microassembly System Control Technology Research

Micro electromechanical products exert an increasing importance in the applicationof various industries and are stricter required of the product performance by people. Torealize micro parts assembling is the core technology to release MEMS products.Manual or half handicraft methods are mostly adopted in traditional tiny pieces ofassembly, which is low in automation degree and difficult to guarantee the productquality. Features of micro parts are small size, amplification instruments likemicroscope and highly integrated micro assembly system are needed to ensure theassembly quality of micro assembly system. However, tiny pieces customer buys aremostly scattered, which increases the operation complexity. The integration of productscan even have a decisive role in the realization of the function.To solve the problem of low micro assembly system integration, the present study isconducted on the basis of tiny pieces assembly, according to the function demand oftiny pieces assembly and strategy of control flow. The "three layer" software systemstructure is adopted to create a control system of microprocessor assembly. The systemis divided into macro/micro motion station control, image acquisition, and micro grippercontrol, teaching programming, camera calibration and pattern recognition. The presentpaper focuses on the control system of assembly.First, analysed the present situation of micro assembly, the application of machinevision and the key technology of micro assembly.Second, modular method was adopted to divide micro assembly control system intofive parts on the basis of the Tiny pieces of assembly object. A deep analysis wasconducted about the visual layout scheme of the control system of micro assembly,control strategies and solutions."The mouse wheel point" assembly strategy was putforward, effectively improving the assembly accuracy.Third, function realization and control flow of the modules of control system ofmicro assembly was analyzed. Key technology solutions of the system development was given. The control system involved teaching programming reference to analyze thepath planning of teaching programming. The camera calibration and pattern recognitionstrategy were analyzed according to the development of machine vision. The softwarecontrol evaluation function was established on the basis of control of macro dynamicmotion table.Finally, analysed the camera calibration of the control system and scale factorcalibration techniques of visual system. The basic algorithm of image processing, visualservo control technology, the pixel location technology and template matching isanalyzed and scale factor calibration method on the basis of active vision and artificialintelligence is put forward. The error calibration model of scale factor is put forwardabout the Tiny pieces of assembly system, and error calibration algorithm of scale factoris deduced. According to the accuracy requirement of the tiny pieces of assembly, theassembly accuracy measuring method of shape matching is brought forward. Analysison seven experiments proves the feasibility of control system of tiny pieces of assembly.The present study aims at the research of control system of tiny pieces, andconducts analysis on key technology. The theory and algorithm in the present thesis hasfar-reaching significance in automation of control system of micro assembly.