期刊
CONTROL ENGINEERING PRACTICE
卷 90, 期 -, 页码 182-189出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.conengprac.2019.06.021
关键词
Model predictive control; Robust control; Average constraints; Diesel engine; Controller calibration
资金
- Australian Research Council (ARC) [LP160100650]
- Toyota Motor Corporation, Japan
- University of Melbourne through Melbourne International Research Scholarship (MIRS) Melbourne-India Postgraduate Program (MIPP)
- Australian Research Council [LP160100650] Funding Source: Australian Research Council
Diesel airpath controllers are required to deliver good tracking performance whilst satisfying operational constraints and physical limitations of the actuators. Due to explicit constraint handling capabilities, model predictive controllers (MPC) have been successfully deployed in diesel airpath applications. Previous MPC implementations have considered instantaneous constraints on engine-out emissions in order to meet legislated emissions regulations. However, the emissions standards are specified over a drive cycle, and hence, can be satisfied on average rather than just instantaneously, potentially allowing the controller to exploit the trade-off between emissions and fuel economy. In this work, an MPC is formulated to maximise the fuel efficiency whilst tracking boost pressure and exhaust gas recirculation (EGR) rate references, and in the face of uncertainties, adhering to the input, safety constraints and constraints on emissions averaged over some finite time period. The tracking performance and satisfaction of average emissions constraints using the proposed controller are demonstrated through an experimental study considering the new European drive cycle.
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