Adaptive analytical model-based control for SI engine air-fuel ratio

An adaptive, state-space, model-predictive controller for spark ignition (SI) engine air-fuel ratio control is developed and presented in this brief. The linear model-based controller is an analytical controller that does not require online optimization. The model parameters for the predictive contr...

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Journal Title: IEEE Transactions on Control Systems Technology Vol. 16; no. 4; pp. 763 - 768
Authors: James Peyton-Jones, Kenneth R. Muske, E. Martin Franceschi
Format: Article
Published: Piscataway, NJ : Institute of Electrical and Electronics Engineers Inc., 2008
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Summary: An adaptive, state-space, model-predictive controller for spark ignition (SI) engine air-fuel ratio control is developed and presented in this brief. The linear model-based controller is an analytical controller that does not require online optimization. The model parameters for the predictive controller and the time-varying delay compensation are adapted based on the current measured engine speed and load. These process model parameters and time delays are identified from engine operating data. A Kalman filter is used to estimate the model and disturbance states of the system. The controller is demonstrated on a Ford 2-L I4 engine. © 2008 IEEE.
ISSN: 1063-6536
DOI: 10.1109/TCST.2007.912243