Conference
Data-Driven Control of Rotational Molding Process
Abstract
This paper presents a data-driven modeling and control formulation for achieving a desired product quality in a uni-axial rotational molding process. To this end, a data driven state-space model of the process is first identified using experimental data. For a given trajectory of input moves (heater and cold air profiles), this dynamic model is able to predict the evolution of the measured variable (internal product temperature). The dynamic …
Authors
Garg A; Gomes FPC; Mhaskar P; Thompson MR
Pagination
pp. 5117-5122
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
10.23919/acc.2019.8814611
Name of conference
2019 American Control Conference (ACC)
Conference proceedings
Proceedings of the 2010 American Control Conference
ISSN
0743-1619