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Due to more and more restrictive emission standards, the air system of Diesel engines has evolved into a complex system with several coupled actuating and controlled variables. In this paper, a linear-quadratic regulator (LQR) is used as a model-based, multivariable, optimal control of the air system. This technique is validated by results of an on-board test.

In many applications with dynamical processes parameter depending systems of nonlinear ordinary differential equations (ODE) are formulated. Often the model description does not perfectly match with realistic data. SQP-methods can be used to identify the parameters of the dynamical model. In conventional approaches the ODE system is solved numerically several times during each of the iteration steps of the optimization process. In this work it is proposed to perform the numerical integration of the ODE system within the optimization process. The benefits of the presented technique will be illustrated by the application of a turbocharger design within the context of diesel engined vehicle development.

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