Authors:
Kuo-Ming Chang
and
Yen-Yeu Lin
Affiliation:
National Kaohsiung University of Applied Sciences, Taiwan
Keyword(s):
Roll-to-Roll Machine, Tension Control, Sliding Mode Control, Extended State Observer.
Related
Ontology
Subjects/Areas/Topics:
Adaptive Signal Processing and Control
;
Informatics in Control, Automation and Robotics
;
Signal Processing, Sensors, Systems Modeling and Control
Abstract:
This paper proposes a robust sliding mode controller, which is derived based on the extended state observer and the sliding mode control techniques for a roll-to-roll machine to deal with the system uncertainty problem of unknown system nonlinear functions, and external disturbances. It is worth noting that the proposed sliding mode control scheme can be implemented without the condition that the system nonlinear functions, and the upper bounds of external disturbances must be known in advance and it can achieve the web transmitting speed and tension control goals satisfactorily, which are validated by numerical simulation results.