Modeling and identification for high-speed milling machines

Accurate modeling and identification to the dynamics of the feed drive system is significant in designing a high performance milling machine. In this paper, mathematical model of the feed drive system, including electromagnetic and mechanical aspects, is concluded. To be consistent with the controller design techniques, two different grey-box identification methods are discussed to estimate the model of a practical milling machine. It turns out that the sampled-data control system with a slower sample rate fits the system better than the faster one. Moreover, compared with the model estimated by partial continuous approach, the total discrete-time model achieves better results in the model validation.