Rate-Limited and Energy-Efficient Feedforward Control for Multi-Fuel Unmanned Aircraft Systems Engine

Sathya Aswath Govind Raju, Andrew Cornelius, Zongxuan Sun, Kenneth Kim, Chol Bum Mike Kweon

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Surrogate-model or data-driven model-based control frameworks are becoming increasingly popular in recent years due to their ease of model development and enhanced computational power, making them suitable for real-time use. However, when it comes to modeling aspects related to time, difficulties arise as many of the models deal with quasi-static systems. In this paper, we propose a method to model time-dependent actuator constraints in a surrogate-model-based control framework for controlling the combustion phasing in a multi-fuel UAS engine. Along with this, a conducive method for designing an energy-efficient ignition assistant control is discussed. The developed methods are then tested on a diesel engine, and the results show a more robust and energy-efficient combustion phasing control as the fuel property varies in real-time.

Original languageEnglish (US)
Article number021003
JournalASME Letters in Dynamic Systems and Control
Volume3
Issue number2
DOIs
StatePublished - Apr 1 2023

Bibliographical note

Publisher Copyright:
© 2024 American Society of Mechanical Engineers (ASME). All rights reserved.

Keywords

  • constrained control
  • data-driven model-based control
  • energy-efficient control
  • engine/powertrain systems
  • optimization algorithms
  • rate-limited control
  • surrogate-model-based control

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