A Physics-Guided Data-Driven Feedforward Tracking Controller for Systems With Unmodeled Dynamics—Applied to 3D Printing
Author:
Affiliation:
1. Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA
2. Department of Mechanical and Aerospace Engineering, Hong Kong University of Science and Technology, Hong Kong, SAR, China
Funder
National Science Foundation
CISCO Systems Inc
Hong Kong University of Science and Technology (HKUST)-Guangzhou University (GZU) Joint Research Collaboration Fund
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
https://ieeexplore.ieee.org/ielam/6287639/10005208/10042435-aam.pdf
Reference33 articles.
1. A Robust Filtered Basis Functions Approach for Feedforward Tracking Control—With Application to a Vibration-Prone 3-D Printer
2. Optimal Selection of Basis Functions for Robust Tracking Control of Uncertain Linear Systems—With Application to Three-Dimensional Printing
3. Software compensation of undesirable racking motion of H-frame 3D printers using filtered B-splines
4. Linear quadratic optimal learning control (LQL)
5. A linear hybrid model for enhanced servo error pre-compensation of feed drives with unmodeled nonlinear dynamics
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