Abstract
The precise XY motion platform is the key part of wire welding machine, and its performance determines the speed and quality of wire bonding. While PID controller is widely used as system control scheme for platform linear motor, PID parameter tuning is essential in this process. Aiming at the low parameter tuning efficiency of PID controller of precise XY motion platform of wire welding machine, a PID parameter tuning optimization algorithm based on hybrid particle swarm optimization algorithm(PSO) and genetic optimization algorithm(GA) is proposed in this paper. In this paper, the mathematical model of linear motor of motion platform is established and the simulation experiment is carried out in MATLAB. The experimental results show that compared with the conventional PSO algorithm and GA algorithm, this algorithm has better global search ability and faster convergence speed. Compared with manual tuning PID parameters, this algorithm has higher parameter tuning efficiency. In addition, in order to reduce the tracking error of the response output, a feedforward control structure is introduced to form a composite control with feedback control. The experimental results show that the composite control structure can greatly improve the tracking accuracy of response and ensure the positioning accuracy of the platform.
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