Toggle Main Menu Toggle Search

Open Access padlockePrints

Robustness evaluation of control algorithms for a long-stroke fast tool servo

Lookup NU author(s): Dr Zheng Gong, Dr Dehong Huo, Dr Wanqun Chen



This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


© 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.

Publication metadata

Author(s): Gong Z, Huo D, Niu Z, Chen W, Cheng K

Publication type: Article

Publication status: Published

Journal: Journal of Manufacturing Processes

Year: 2022

Volume: 80

Pages: 458-468

Print publication date: 01/08/2022

Online publication date: 19/06/2022

Acceptance date: 08/06/2022

Date deposited: 21/07/2022

ISSN (print): 1526-6125

ISSN (electronic): 2212-4616

Publisher: Elsevier Ltd


DOI: 10.1016/j.jmapro.2022.06.017


Altmetrics provided by Altmetric