Adaptive Power-Split Control Design for Marine Hybrid Diesel Powertrain

Author:

Samokhin Sergey1,Topaloglou Sotiris2,Papalambrou George3,Zenger Kai1,Kyrtatos Nikolaos4

Affiliation:

1. School of Electrical Engineering, Aalto University, Otaniementie 17, Espoo 02150, Finland e-mail:

2. School of Naval Architecture and Marine Engineering, National Technical University of Athens, Zografou Campus, Athens 15780, Greece e-mail:

3. Assistant Professor School of Naval Architecture and Marine Engineering, National Technical University of Athens, Zografou Campus, Athens 15780, Greece e-mail:

4. Professor School of Naval Architecture and Marine Engineering, National Technical University of Athens, Zografou Campus, Athens 15780, Greece e-mail:

Abstract

It is known that mechanical wear and tear of components of large marine engines throughout their lifetime can cause the engine dynamics to alter. Since traditional control systems with fixed parameters cannot deal with this issue, the engine performance may degrade. In this work, we introduce adaptive control algorithms capable of adapting the control system in order to preserve the engine performance once its dynamics deviate from the nominal ones. Particularly, the direct and indirect model reference adaptation mechanisms are studied. In this work, the case of degraded oxygen sensor is investigated as an example of engine components deterioration throughout its lifetime. The controllers are implemented in Simulink, and their performance is evaluated under both nominal and degraded sensor conditions. Specifically, the sensor degradation is imitated by altering its time-delay. In such conditions, adaptive controllers demonstrate a notable improvement in tracking performance compared to the fixed parameters proportional-integral (PI) controller. Finally, the designed controllers are validated on the hybrid marine engine testbed using dSpace rapid prototyping system.

Publisher

ASME International

Subject

Computer Science Applications,Mechanical Engineering,Instrumentation,Information Systems,Control and Systems Engineering

Reference33 articles.

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