BIBO Stability of an Adaptive Time-Frequency Iterative Learning Control with Application to Microscale Robotic Deposition
Microscale robotic deposition (µ-RD) is an emerging solid free-form manufacturing technique for construction of parts with microscale feature sizes. Part quality in this process is directly related to the robot tracking performance. In this paper an adaptive iterative learning control algorithm using a time-varying Q-filter is presented for robust high performance tracking control of the µ-RD robot. Using a switched systems analysis, the existence of a minimum dwell time for BIBO stability is demonstrated. Experimental results show the ability of the adaptive algorithm to stably improve performance over the initial fixed filter. The development of multi-ink valves allows construction of parts with multiple materials interlaced throughout and a sample two-ink manufactured part is presented.
D. A. Bristow and A. G. Alleyne, "BIBO Stability of an Adaptive Time-Frequency Iterative Learning Control with Application to Microscale Robotic Deposition," Proceedings of the 2005 American Control Conference, Institute of Electrical and Electronics Engineers (IEEE), Jan 2005.
The definitive version is available at https://doi.org/10.1109/ACC.2005.1470708
American Control Conference, 2005
Mechanical and Aerospace Engineering
Keywords and Phrases
Adaptive Control; Coating Techniques; Learning (Artificial Intelligence); Microrobots; Position Control; Stability; Time-Varying Filters
Article - Conference proceedings
© 2005 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Jan 2005