Predictive In-Cycle Closed-Loop Combustion Control with Pilot-Main Injections

Research output: Contribution to journalArticle


title = "Predictive In-Cycle Closed-Loop Combustion Control with Pilot-Main Injections",
abstract = "This paper studies the use of predictive in-cycle close-loop combustion control to reduce the stochastic cyclic variations of diesel combustion. The combustion metrics that fully define the pressure trace with a pilot-main injection i.e. pilot and main start of combustion, burned pilot mass, and engine load are used as the set-point reference. These metrics are in-cycle predicted by calibrated models as functions of the current cylinder state, estimated by in-cylinder pressure measurements. The proposed approach uses four individual controllers for the set-point error minimization, which respectively regulate the injection{\textquoteright}s timing and duration of the pilot-main injection. The controllers are implemented in a FPGA and tested in a Scania D13 engine. The steady-state error reduction, disturbance rejection and transient response are discussed. The results confirm the error reduction in both, cycle-to-cycle and cylinder-to-cylinder variations. The error dispersion, measured by the 95% confidence interval, was reduced between 25% and 75% for all the controlled parameters. By on-line adaptation, the controllers are robust against model uncertainties and fuel types.",
author = "{Jorques Moreno}, Carlos and Ola Stenl{\aa}{\aa}s and Per Tunest{\aa}l",
year = "2021",
month = apr,
day = "14",
doi = "10.1016/j.ifacol.2020.12.920",
language = "English",
volume = "53",
pages = "14000--14007",
journal = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
issn = "2405-8963",
publisher = "IFAC Secretariat",
number = "2",
note = "21th IFAC World Congress ; Conference date: 12-07-2020 Through 17-07-2020",