Increasing performance demands on combustion engines for reduced fuel
consumption and emissions, as well maintenance of satisfactory
driveability, require improved processes for control of combustion and
exhaust. In addition to structural changes, research suggests these
goals can be achieved by higher variability supported by better
actuators and sensors. So modern engines incorporate more manipulation
variables and sensors and a complex electronic controls. The design of
the many control and also diagnostic functions requires model-based
methods taking into account mechatronic engineering principles.
This book treats physically-based as well as experimentally-refined
engine models for gasoline and diesel engines and uses them to exemplify
the design of various advanced control systems. The procedures, from
measurements through simulation to calibration on test benches, are
systematically described and demonstrated. The treatment spans not only
the stationary but also the dynamic behavior of engines. Several new
control regimens are detailed, such as multivariable feedforward and
feedback control based on nonlinear net models, combustion pressure and
HCCI control. Many new results with signal and process model-based fault
diagnosis are used to show how on-board fault diagnosis can be
considerably improved.
The book is directed at advanced students working in control,
electrical, mechanical and mechatronic engineering and will also be
useful for practicing engineers in the field of engine and automotive
engineering.
