Misc,

Replication Data for: Robust µ parameterization with low tuning complexity of cascaded control for feed drives

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Dataset, (2023)Related to: H. Xu, C. Hinze, A. Lechler, A. Verl, Robust μ Parameterization with Low Tuning Complexity of Cascaded Control for Feed Drives. Control Engineering Practice. Vol. 138, 2023, 105607. doi: 10.1016/j.conengprac.2023.105607.
DOI: 10.18419/darus-3252

Abstract

Experimental dataset for model identification and validation of position controllers on a ball screw test bench.This dataset belongs to the Open Access publication "Robust µ parameterization with low tuning complexity of cascaded control for feed drives" (doi: 10.1016/j.conengprac.2023.105607). A detailed description of the setup can be found in the publication. Velocity controller: PI velocity controller with Kp = 175, Ki = 11. Position controllers: P position controller with Kp = 53. Nominal sliding mode controller (nSMC or PPC) based on norminal PT2I model with lambda = -250 -250 -250. Robustly-tuned sliding mode controller (rSMC or RSMC) tuned via mu-synthesis with k = 610.4625, p = 51883 188.5168 1. Feedforward: Please refer to control_parameters.txt in this dataset for more detailed information. Notice: To analyze the disturbance response (while disturbance forces acting directly on the working table), we used an impulse hammer to generate disturbance forces for identification, and the linear direct drive for validation.

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