Control parameters auto-tuning for bi-axial servo feed system

To improve contour accuracy of bi-axial servo feed system and aim at the problem that conventional methods for tuning control parameters mainly depend on manual tuning and can hardly achieve desired performances. A novel method based on the improved genetic algorithm is proposed to tune control parameters on line, and to realize the dynamics optimal matching between motion axes. The adaptive crossover operation, adaptive mutation operation and elitism strategy are adopted to overcome the prematurity of population and to improve convergence rate effectively. The experimental results show that follow error and contour error are both reduced greatly. (C) 2014 Elsevier B.V.