Innovative low-temperature combustion modes for internal combustion engines, such as gasoline-controlled auto-ignition, impose very high requirements on the process control. On one hand, fast reference tracking for the engine load and the combustion phasing is needed, while at the same time, numerous disturbances acting on the highly sensitive process have to be rejected in order to guarantee stable operation at a wide operating range. Model-based predictive control concepts have a great potential to fulfill these requirements. In this contribution, a model-based predictive control consisting of a stationary and dynamic optimization stage is introduced. It is able to account for the characteristic cycle-to-cycle dynamics which occur in gasoline-controlled auto-ignition and also handle constraints imposed on the manipulated and controlled variables of the process.
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