A Modular Approach for Diesel Engine Air Path Control Based on Nonlinear MPC

This article presents a systematic approach to realize highly dynamic control strategies for the air path of diesel engines. It is based on grey-box models individual components, designed be applied in nonlinear model predictive (NMPC). Specifically, they are suited algorithmic differentiation and gradient-based optimization. modular allows derive variety complex systems can identified with low amount measurement data. An NMPC structure, which these models, enables tracking arbitrary reference signals introduction further objectives overactuated systems. We demonstrate our approach’s general applicability effectiveness two different laboratory engines using rapid prototyping hardware. For turbocharged light-duty engine dual-loop exhaust gas recirculation (EGR), we apply proposed structure track intake manifold conditions while simultaneously minimizing pumping losses. Experimental results show an excellent performance reduced losses compared other strategies. heavy-duty high-pressure EGR, experimentally superior that obtained controller. Due approach, algorithm design straightforward, experimental calibration effort low.