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Cycle-to-cycle Control of HCCI Engines with Variable Valve Actuation

Homogeneous Charge Compression Ignition (HCCI), which lacks the usual combustion triggers of spark and fuel injection, presents an interesting control challenge. By introducing simple physical models of the engine cycle and chemical kinetics, however, the control problem can be clearly defined in terms of a low-order, discrete nonlinear system. This talk outlines simple models of HCCI and demonstrates how to use them to develop a valve control strategy for tracking a desired level of peak pressure. This controller works well on a more detailed simulation model and produces comparable performance on a real engine without additional tuning. Furthermore, the controller proves successful at reducing cyclic dispersion at high loads, potentially extending the useful range of HCCI. These initial results form a basis for current work into independent load and phasing control and managing the SI-HCCI transition.

Type of Seminar:
Public Seminar
Chris Gerdes
Stanford University
Aug 30, 2004   15:15

ETH-Zentrum, Room ML H 43, Zurich
Contact Person:

Prof. L. Guzzella
No downloadable files available.
Biographical Sketch:
Chris Gerdes is an Assistant Professor in the MechanicalEngineering Department at Stanford University. He received his Ph.D. in Mechanical Engineering from U.C. Berkeley in 1996 and subsequently founded the vehicle dynamics group at Daimler-Benz's Vehicle Systems Technology Center in Portland, Oregon. While at Daimler, he investigated simulation techniques for heavy trucks and worked with the Freightliner Corporation on the design of the Tuf-Trac vocational suspension and the Panther FL Rapid Intervention Vehicle. He joined Stanford in 1998 and, in 2002, was awarded the NSF CAREER award and the Presidential Early Career Award for Scientists and Engineers. He is currently director of the Dynamic Design Laboratory and co-director of the Center for Design Research. His research interests include driver assistance systems, by-wire vehicle control, combustion control and energy methods for nonlinear controller design.