Application of an Improved PSO Algorithm to Control Parameters Auto-tuning for Bi-axial Servo Feed System

To improve dynamic performance of servo feed system and aim at automatically calculating optimal controller parameters to increase contour accuracy and manufacturing efficiency. An improved particle swarm algorithm (IPSO) is adapted to optimize control parameters on line, and to match the control parameters of bi-axial servo feed system in this paper. Linearly decreasing acceleration weights is introduced to improve global searching ability in early stage and converge to global optimization at the end of the search. At the same time, adaptive maximum speed limit is introduced to control the scale of search and improve convergence efficiency. The experimental results demonstrate that the novel method is effective at reducing the follow error and contour error.