Authors:
Doruk Akyildiz
;
Umut Karahan
and
Can Özsoy
Affiliation:
Istanbul Technical University, Faculty of Mechanical Enginnering, Turkey
Keyword(s):
Pneumatic System, Model Predictive Control, Dynamic Matrix Control, Real-Time Control.
Related
Ontology
Subjects/Areas/Topics:
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Mechatronic Systems
Abstract:
Studies on the precise control applications with pneumatic systems have been growing in recent years.In
addition to this, due to the complexity and non-linearity of the system the expected performance will only be gained by applying modern control strategies. So the subject of this paper is identification and real-time model predictive control of a pneumatic system. In order to realise system identification, a white noise signal is sent to the plant and the displacement outputs are stored. Afterwards these data are digitally processed and the parametric single-input single-output step response model is obtained. In the previous study on this system with a PD controller, a steady-state error is observed. In order to eradicate this, a Model Predictive Control – Dynamic Matrix Control algorithm is applied. To run this, in real-time, a
programme is written in Matlab - Simulink and by using the code generated by Matlab - Real-Time Workshop, the real-time position control of the system is
performed.
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