Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/25076
Title: Robustness evaluation of control algorithms for a long-stroke fast tool servo
Authors: Gong, Z
Huo, D
Niu, Z
Chen, W
Cheng, K
Keywords: fast tool servo;control algorithm;tracking error;robustness;microstructured surface
Issue Date: 19-Jun-2022
Publisher: Elsevier Ltd.
Citation: Gong, Z.,Huo, D., Niu, Z., Chen, W. and Cheng, K. (2022) 'Robustness evaluation of control algorithms for a long-stroke fast tool servo', Journal of Manufacturing Processes, 80 pp. 458 - 468. doi: /10.1016/j.jmapro.2022.06.017.
Abstract: Copyright © 2022 The Authors. Fast tool servo (FTS) is an effective freeform surface machining technology in precision machining. The robustness of the FTS control algorithm is an important factor influencing the quality of machining. In this paper, an advanced PID control algorithm and a hybrid control algorithm are tested on a Lorentz force FTS. A mathematical simulation model is built according to the system characteristics. The model is verified by the system identification model and used for the simulation of the system's motion under disturbance. Simulation results show that the advanced PID control results in more significant differences in tracking error, amplitude error, and phase errors than the hybrid control. Four machining experiments are designed and conducted. The motion profile results from simulations and experiments show that the hybrid control (<0.5% tracking error) has better robustness than advanced PID control (>1.5% tracking error). In addition, the hybrid control exhibits rapid response speed. From the 3D profile of the machined microstructured surface, the hybrid control helps to achieve better form accuracy in the workpiece than the advanced PID control.
URI: https://bura.brunel.ac.uk/handle/2438/25076
DOI: https://doi.org/10.1016/j.jmapro.2022.06.017
ISSN: 1526-6125
Appears in Collections:Dept of Mechanical and Aerospace Engineering Research Papers

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