Research On Motion Control And Surface Mounting Process Optimization Of Mounter

Electronics manufacturing has developed as a symbol of nation’s science and economy in recent years, and SMT plays a very important role in it. An integral SMT production line is composed by a variety of devices, while mounter is the most critical and complex equipment in it. Mounter integrated highly light, engine and electricity, which needs to satisfy super-speed, high-precision, high-stability, wide adaptability, maintain easily and high-integration. This paper has expanded research including the motion control system design, the motion control algorithm of mounter and the effect of SMT placement efficiency according to existing model of munters.Firstly, an open motion control system hardware platform based on "PC+MP controller" has been designed, which include motor drive module, security module and so on. This hardware platform possess portability, interoperability, scalability and configurability which can satisfy the trend of modular and multi-functional for future munters.Secondly, the mount efficiency of mounter was improved maily according to mounting sequential optimization in this paper. Mount model was established based on the analysis of paste process. The improved genetic algorithm was designed which combined neighbor search algorithms and evolutionary mechanism ideology, and was applied in the solving of mounting sequential optimization. Take the mounter of four paste titles as an example, compare the traditional genetic algorithm and the improved genetic algorithm in the iterations and optimal path. The results showed that the improved genetic algorithm was feasible in the mounting sequential optimization.Thirdly, the control system model was established and the control requirements of mounter for Z axis and 9 axis was discussed in this paper. The different control algorithm was analysed in the stability, speed and the performance of achieving soft landing by the contrast of the different intelligent control algorithm. The P/PI parameter switching control algorithm for Z axis based on genetic algorithm was adopted to overcome the shortage of achieving soft landing for traditional algorithm. The P/PI parameter switching control algorithm based on sinusoidal velocity curve was adopted to overcome the frequent parameter adjustments in the θ axis control application of traditional algorithm. The results showed that the algorithm was feasible and effective. Based on this control algorithm, take the mounter of four paste titles as an example, flow chart of control for multi-titles mounter for Z axis and θ axis was given.Finally, using MATCOM, a friendly interface of motion control by combining the MFC and Matlab was achieved. Setting the parameters by instruction, the control effect was observed for Z axis and θ axis in the interface.