In this paper, a model-based control system for a diesel engine was evaluated under random accelerator operation. The control system consists of two-degree-of—freedom controllers of air path system and combustion system. For the air path system, a physical model was developed and a feedforward (FF) controller was developed by an inverse model and virtual feedback (FB) loop. An FB controller was designed based on H∞ control theory. For the combustion system, a physical model was developed and its inverse model was used as an FF controller. An FB controller was designed based on an adaptive output feedback theory. The overall control system was implemented in a rapid prototyping system. For the evaluation of controller performance, vehicle dynamics simulation and a real engine were used and accelerator position was changed randomly. The model-based control system showed good performance.
