貼片機(jī)的運(yùn)動(dòng)控制及貼裝優(yōu)化
[Abstract]:In recent years, the electronic industry has become an important symbol of the development of science, technology and economy in a country. SMT occupies a very important position in the electronic production industry. A complete SMT production line is composed of a variety of equipment, among which placement machine is the most critical and complex equipment in SMT production line. Placement machine is a highly integrated optical mechatronics device, which needs to meet the requirements of high speed, high precision, high stability, wide adaptability, easy maintenance and high integration. On the basis of the existing placement machine, this paper studies the design of the motion control system, the motion control algorithm and the problems that affect the placement efficiency of the placement machine. Firstly, the hardware platform of open motion control system based on PC MP controller is designed, including motor drive module, safety guarantee module of patch head and so on. This hardware platform has portability, interaction, scaling and configuration, which can meet the requirements of modularization and multi-function expansion of placement machine in the future. Secondly, this paper mainly improves the mounting efficiency of the placement machine from the aspect of the optimization of the mounting sequence of the components. On the basis of analyzing the working process of patch head, the mounting model is established, and an improved genetic algorithm which integrates the idea of nearest neighbor search algorithm and evolutionary mechanism is designed and applied to the solution of mount sequence optimization. Taking the placement machine with 4 patch heads as an example, this paper compares the differences between the traditional genetic algorithm, the differential evolution algorithm with migration and the improved genetic algorithm in the number of iterations and the optimization path. The experimental results show that the improved genetic algorithm is feasible in the optimization of mounting sequence. Secondly, the mathematical model of the control system is established, and the control requirements of the z axis and the theta axis of the placement machine are discussed. Through the comparison of the simulation results of different intelligent control algorithms, the performance of each control algorithm in stability, rapidity and soft landing is analyzed. Aiming at the shortcomings of the traditional algorithm in realizing soft landing, the P/PI parameter conversion control algorithm based on genetic algorithm is used for Z axis. In order to solve the problem of frequent parameter adjustment of the traditional algorithm in the 胃 axis control, the P/PI parameter conversion control algorithm based on sinusoidal velocity curve is adopted, and the feasibility and effectiveness of the algorithm are verified on the Matlab simulation platform. Then, on the basis of P/PI parameter conversion control algorithm, taking the placement machine with 4 patch heads as an example, the flow charts of z axis and theta axis motion control of multi head placement machine are given. Finally, this paper uses Matcom to combine MFC with Matlab program to realize the friendly interactive interface of motion control. In the interface, the parameters can be set according to the prompt, and the control effect of the algorithm on Z axis and theta axis can be observed.
【學(xué)位授予單位】:西南交通大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:TN405
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