Title :
Point-to-point iterative learning control with optimal tracking time allocation
Author :
Yiyang Chen;Bing Chu;Christopher T. Freeman
Author_Institution :
Department of Electronics and Computer Science, University of Southampton, SO17 1BJ, United Kingdom
Abstract :
This paper proposes a novel design methodology that embeds optimal tracking time allocation within the point-to-point iterative learning control framework, thereby enabling significant reduction in the input energy required to follow a given point-to-point motion trajectory. The problem is formulated into an optimisation framework for which a two stage design approach is developed based on gradient method minimisation. Experimental results from a practical implementation of the proposed methodology using a gantry robot experimental test platform demonstrate its effectiveness.
Keywords :
"Tracking","Robots","Resource management","Gradient methods","Feedforward neural networks","Performance analysis"
Conference_Titel :
Decision and Control (CDC), 2015 IEEE 54th Annual Conference on
DOI :
10.1109/CDC.2015.7403177