A two-stage multiobjective predictive control approach for low temperature combustion engines
- Eine zweistufige multikriterielle prädiktive Regelungsmethode für Niedertemperatur-Verbrennungsmotoren
Albin Rajasingham, Thivaharan; Abel, Dirk (Thesis advisor)
Als Ms. gedr.. - Düsseldorf : VDI-Verl. (2014)
Dissertation / PhD Thesis
In: Fortschritt-Berichte VDI : Reihe 8, Mess-, Steuerungs- und Regelungstechnik 1233
Page(s)/Article-Nr.: XII, 158 S. : Ill., graph. Darst.
Zugl.: Aachen, Techn. Hochsch., Diss., 2013
Topic of the present thesis is the research on nonlinear model-based predictive control (MPC) for internal combustion engines with homogenized low temperature combustion. In this context, both the gasoline (GCAI) and the diesel process (PCCI) are investigated, especially with respect to the challenge of increasing the operating range. For this purpose a MPC approach is developed, which consists of a 2-stage calculation of the actuated values allowing for realtime multiobjective optimization. This approach, including system identification and control design, is applied to both engine concepts. Herewith the operating range can be extended for the GCAI case, i.e. by considering the evolving cycle-to-cycle dynamics. For the diesel engine, the actuated values are calculated by also considering economic parameters, such as fuel consumption, automatically deciding between the conventional and PCCI mode. Simulative and experimental results prove the feasibility of the presented approach.