Authors:
J. Frechard
1
;
D. Knittel
2
and
J. Renaud
1
Affiliations:
1
INSA, France
;
2
INSA and University of Strasbourg, France
Keyword(s):
Six Sigma Controller Synthesis, Design For Six Sigma, Robust Optimization, Robust Control, Hinfinity Synthesis, Roll-to-roll Systems.
Related
Ontology
Subjects/Areas/Topics:
Engineering Applications
;
Evolutionary Computation and Control
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Optimization Algorithms
;
Robotics and Automation
;
Signal Processing, Sensors, Systems Modeling and Control
Abstract:
Industrial systems usually contain uncertain parameters. These uncertainties come from lack of knowledge of physical phenomena or from evaluation difficulties. The stochastic behaviour of these parameters have to be taken into account during the design process of industrial systems. To tackle with these uncertainties, the Design for Multi-objective Six Sigma method is used. This method permits to fix six sigma constraint and it is applied on the synthesis of web tension controller for an industrial large-scale roll-to-roll system. The key idea is to synthesize the controller in frequency domain by Hinfinity synthesis. Then the six sigma constraint is fixed on output web tension in time domain. The robust controller synthesis is then compared with standard Hinfinity synthesis approach. This paper presents for the first time a controller synthesis including six sigma constraints.