Abstract
Higher demands on the dynamic behavior of feed drives of machine tools require better system identification methods to identify the controlled system to optimize better controllers. Most modern CNC systems have still simple PI-controllers for speed and current loop and a P-controller with further filters for the position loop. Current research has shown that the bandwidth of the position control loop can be increased by optimal control methods like LQG- or H∞-control. To achieve higher bandwidths or to create uncertainty models it is required also to identify the position dependent effects in the transfer function of the controlled system. Moreover, the identification process of the controlled system requires often manual help. This publication presents a method on how to measure more exactly the transfer behavior of a feed drive and identify automatically the poles and zeros of the transfer function.
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Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) –- Project number: 394205384.
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Kehne, S., Berners, T., Epple, A., Brecher, C. (2019). Automatic System Identification of Forward Feed Drives in Machine Tools. In: Schmitt, R., Schuh, G. (eds) Advances in Production Research. WGP 2018. Springer, Cham. https://doi.org/10.1007/978-3-030-03451-1_15
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DOI: https://doi.org/10.1007/978-3-030-03451-1_15
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