Flow profile generation for a left ventricular assist device using iterative learning control

Current Directions in Biomedical Engineering, vol. 7, pp. 279–282

Abstract

Abstract Nowadays, rotary blood pumps for the treatment of end-stage heart failure patients are usually fixed-speed controlled. Therefore, without sufficient heart activity, patients may reveal reduced blood flow pulsatility. However, there is evidence that pulsatile flow reduces adverse events. Furthermore, optimized pump flow profiles could be used to achieve certain control objectives. Therefore, a pump flow model is identified and subsequently used to design a control system with an iterative learning controller to generate desired pump flow patterns. Either a flow sensor is required for direct measurement or the flow can be estimated from pressure sensor readings using the proposed pump flow model. For comparison, a PID controller with disturbance feedforward control is also designed. Furthermore, the robustness against respiratory sinus arrhythmia is analyzed.

Authors 5

1. Patrick Borchers Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Pauwelsstraße 20, 52074 Aachen , Germany

2. Marian Walter Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Pauwelsstraße 20, 52074 Aachen , Germany

3. Steffen K. Leonhardt Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University, Pauwelsstraße 20, 52074 Aachen , Germany

4. Dmitry V. Telyshev

   National Research University of Electronic Technology

   Affiliation as printed

   National Research University of Electronic Technology, Moscow , Russia

5. Alexander A. Pugovkin

   National Research University of Electronic Technology

   Affiliation as printed

   National Research University of Electronic Technology, Moscow , Russia