Nonlinear estimation of variables for heat release calculation using a gradient method

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Abstract

Advanced combustion such as the partially premixed combustion (PPC) is characterized by high energy efficiency. However, they are sensitive to the inlet condition and injection of a combustion engine. Therefore, it is essential to use combustion feedback. The accuracy of the feedback variables, derived from the cylinder pressure signal, is crucial for effective combustion feedback control. This paper proposes a nonlinear least-squares regression method to estimate the pressure offsets and variable polytropic exponent in heat release calculation automatically. The combustion feedback variables derived from the auto-tuned heat-release rate were applied to a heavy-duty compression ignition (CI) engine burning with gasoline fuel. [DOI: 10.1115/1.4042877]

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Keywords

  • Barzilai-borwein step, Cylinder pressure, Feedback, Least-squares estimation, Nonlinear
Original languageEnglish
Article number061011
JournalJournal of Dynamic Systems, Measurement and Control, Transactions of the ASME
Volume141
Issue number6
Publication statusPublished - 2019
Publication categoryResearch
Peer-reviewedYes