Research On Chip Identification And Location Method Of Semi Automatic Aluminum Wire Welding Machine

Aluminum wire welding is a set of precision machinery, automatic control, image recognition, optical, ultrasonic welding technology in one of the modern high-tech microelectronic packaging equipment, mainly used for integrated circuit manufacturing process in the chip pad and the outer frame lead between the welding.This paper to manually transform aluminum wire welding become semi auto aluminum wire welding as the research content, the semi automatic aluminium wire welding machine control system were analyzed, and its main parts: image recognition system and motion positioning algorithm were studied, and results of this dissertation are as follows:First, the structure of the control system of the automatic aluminum wire welding machine is introduced. Based on the analysis of the composition of the control system of the semi- Automatic aluminium wire welding machine, the hardware of the image recognition system and the motion system is selected. According to the working principle of the image recognition system and the motion system of the semi auto aluminum wire welding machine, the paper introduces the process of the image recognition system template stage and the matching stage.Secondly, the sub module of the control system of the automatic aluminum wire welding machine is studied. The basic principle of the motion control and image recognition system is studied. Aiming at the main technical problems existing in the semi automatic aluminum wire welding, this paper selects template based feature point matching method as a pattern recognition algorithm of semi automatic aluminum wire welding image recognition system, the chip and the lead frame position deviation is transmitted to the control system, so as to realize the accurate positioning, to ensure the bonding precision. The motion positioning system of the semi- Automatic aluminum wire welding machine is used as the driving device of the motor system. The fuzzy PID control algorithm is adopted to realize the closed-loop control of the motor system. In order to make the response speed of the motion system and the overshoot of the system, we must adjust the parameters of the fuzzy number PID according to the specific conditions of the equipment. In this paper, the simulation experiment is carried out to verify the effect of fuzzy PID parameters optimization by MATLAB. Experimental results show that the performance of the fuzzy PID control algorithm is better than the PID control algorithm in terms of system response, anti disturbance and friction.Finally, the independent development of the semi automatic aluminum wire welding application, the program to the user provides a strong practicability, simple operation interface, including template setting function, image setting function, welding, control system parameter settings and other functions. In the actual production process, the image set function can choose different image preprocessing and matching algorithm, which can effectively improve the matching accuracy in the actual production process.