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Evaluation of an advanced model reference sliding mode control method for cardiac assist device using a numerical model
Author(s) -
Bakouri Mohsen
Publication year - 2018
Publication title -
iet systems biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.367
H-Index - 50
eISSN - 1751-8857
pISSN - 1751-8849
DOI - 10.1049/iet-syb.2017.0052
Subject(s) - mode (computer interface) , computer science , control theory (sociology) , sliding mode control , control (management) , artificial intelligence , nonlinear system , physics , operating system , quantum mechanics
In this study, the physiological control algorithm using sliding mode control method is implemented to track the reference input signal. The controller is developed using feed‐forward part, reference model, and steady‐state flow estimator. The proposed control method is evaluated using a dynamic heart‐pump interaction model incorporating descriptions of the cardiovascular system – rotary blood pump. The immediate response of the controller to preload as well as afterload was studied. Stability and feasibility of the control system were demonstrated through the tests. The results showed that the present controller, which allows the left ventricular to automatically adjust to the right ventricular output, reduces the risk of suction.

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