微小型加速度计磁钢组件自动装配设备研制
[Abstract]:Accelerometer is an important part of inertial navigation system. It is a typical micro electromechanical product. Its performance directly affects navigation accuracy. The assembly quality of accelerometer torque magnets will affect the linearity of accelerometers and thus the performance of accelerometers. At present, the assembly of accelerometer magnetic steel assembly mainly depends on manual operation. The assembly efficiency is low, the precision is poor, the assembly depends on the skill of the assembler, and the product consistency is poor. It is urgent to develop automatic assembly equipment and apply high precision automatic assembly technology to solve this problem. In this paper, a precision automatic assembly equipment based on machine vision is developed for the assembly of magnetic steel components of a certain type of micro accelerometer. The equipment is divided into visual measurement module, assembly module, workbench module and assembly control module. The visual measurement module is used to obtain the position and attitude of the parts. The assembly module completes the tasks of picking up, moving and assembling the parts. The work table module provides the assembly space. The fixture realizes the functions of clamping and fixing after assembly. The assembly control module controls the orderly work of other modules of the equipment and provides the man-machine interface. According to the features of shell and magnetic steel parts, the operating device and fixture are designed to ensure the stability of assembly process, improve the assembly accuracy, and realize the real-time detection and control of assembly force. Visual measurement is a non-contact measurement method, which is fast and does not damage parts. In order to improve the accuracy and efficiency of visual measurement, an automatic focusing algorithm based on coarse and fine image gray value is developed. The variance function and the gradient variance function are used as the image definition evaluation functions in the two stages of rough refinement, and the mountain climbing method and the quadratic interpolation method are used to search the optimal solution. The illumination environment is set according to the characteristics of the magnetic steel and shell parts to ensure the image acquisition quality of the upper surface of the magnetic steel and shell parts. The median filter is used to preprocess the image with linear gray enhancement to improve the recognition accuracy. Based on the image stitching technology, the acquisition range of large magnification camera is expanded. Finally, the edge points are extracted and the circle is fitted with the least square method. The measuring task of the parts is completed, and the position information of the feature points of the parts to be assembled is obtained. The main factors affecting assembly accuracy are analyzed, and the error compensation model is established based on homogeneous coordinate transformation. The angle between image coordinate system, visual measurement coordinate system and assembly operation coordinate system is calibrated. The verticality error between the axes of the three-dimensional moving platform is compensated. The assembly accuracy can reach 10 渭 m, which meets the design requirements, assembly stability, consistency and so on.
【学位授予单位】:大连理工大学
【学位级别】:硕士
【学位授予年份】:2016
【分类号】:TH824.4
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