Optimization of Response Characteristics for Direct Feed Drive System with Partial Least Square model

There are lots of advantages using linear motor in high speed direct feed drive system. Nevertheless the control system of linear motor is easily being disturbed because of the distinctive structure. To improve the response characteristics of linear motor feed drive system, this paper proposes a regression model of servo parameters and an optimization strategy for control systems. The proposed regression model is established based on Partial least squares to facilitate the control system optimization. The proposed optimization strategy enables the determination of servo parameters that lead to stability performance without many trial-and-error tuning processes. In addition, the proposed strategy avoids machine tool in a state of resonance and being damaged. The effectiveness of the proposed regression model and optimization strategy was verified in experiments using a self-construction direct feed axis test rig.