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	Verification of the developed maximum rising rate position estimation model
	Verification of the developed maximum cylinder pressure estimation model

A fault diagnostics module for a cylinder pressure sensor was needed for model-based predictive control. The virtual cylinder pressure sensor (VCPS) was developed by Southwest Research Institute (SwRI) at 2,000 rpm from light load to high load on a light-duty diesel engine.

Two neural network-based cylinder pressure related variable independent estimators were developed and verified:

• The cylinder pressure maximum rising rate position model

• The maximum cylinder pressure value model

The results show that the models can predict the variables correctly compared with the extracted variables from the measured physical cylinder pressure signal. Very good generalization capabilities of the developed models are observed in the sense that the models work well not only for the training data set but also for the new inputs to which they have never been exposed.

The results of this study indicate that the VCPS with individual variable-oriented estimators can greatly reduce the modeling task and improve the robustness of the models. The VCPS can be used for the fault diagnostics of the physical cylinder pressure sensor as well as engine predictive control.

For more information about our powertrain control capabilities, or how you can contract with SwRI, please contact Jayant Sarlashkar at jsarlashkar@swri.org or (210) 522-5506.

powertraincontroltech.swri.org

| Engine and Vehicle R&D Department | Engine, Emissions & Vehicle Research Division | SwRI Home |

Southwest Research Institute^® (SwRI^®), headquartered in San Antonio, Texas, is a multidisciplinary, independent, nonprofit, applied engineering and physical sciences research and development organization with 11 technical divisions.

December 28, 2012