Diesel engine airpath controller via data driven disturbance observer

Official URL: https://dx.doi.org/10.1007/s12239-020-0092-x

This study presents a novel data driven disturbance observer design method and its integration with a recursive controller developed for diesel engine airpath control problem. Mass Air Flow (MAF) and Manifold Absolute Pressure (MAP) are identified with Multi-Input Single-Output NFIR models using experimental data. Heavy-duty diesel engine airpath with variable geometry turbine (VGT) and exhaust gas recirculation (EGR) valve is the main focus of the paper. Presented data driven disturbance observer and controller are implemented to a serial production level engine embedded software. The proposed controllers are compared with the available commercial controllers in dynamometer test cycles. Better overall performance is achieved with respect to the commercial controllers using proposed easy-to-tune controllers.