A novel fuzzy logic variable geometry turbocharger and exhaust gas recirculation control scheme for optimizing the performance and emissions of a diesel engine

Abstract

Variable geometry turbocharger and exhaust gas recirculation valves are widely installed on diesel engines to allow optimized control of intake air mass flow and exhaust gas recirculation ratio. The positions of variable geometry turbocharger vanes and exhaust gas recirculation valve are predominantly regulated by dual-loop proportional–integral–derivative controllers to achieve predefined set-points of intake air pressure and exhaust gas recirculation mass flow. The set-points are determined by extensive mapping of the intake air pressure and exhaust gas recirculation mass flow against various engine speeds and loads concerning engine performance and emissions. However, due to the inherent nonlinearities of diesel engines and the strong interferences between variable geometry turbocharger and exhaust gas recirculation, an extensive map of gains for the P, I, and D terms of the proportional–integral–derivative controllers is required to achieve desired control performance. The present simulation study proposes a novel fuzzy logic control scheme to determine appropriate positions of variable geometry turbocharger vanes and exhaust gas recirculation valve in real-time. Once determined, the actual positions of the vanes and valve are regulated by two local proportional–integral–derivative controllers. The fuzzy logic control rules are derived based on an understanding of the interactions among the variable geometry turbocharger, exhaust gas recirculation, and diesel engine. The results obtained from an experimentally validated one-dimensional transient diesel engine model showed that the proposed fuzzy logic control scheme is capable of efficiently optimizing variable geometry turbocharger and exhaust gas recirculation positions under transient engine operating conditions in real-time. Compared to the baseline proportional–integral–derivative controllers approach, both engine’s efficiency and total turbo efficiency have been improved by the proposed fuzzy logic control scheme while NOx and soot emissions have been significantly reduced by 34% and 82%, respectively.

Air Filter and Selected Vehicle Characteristics

“…Within both vehicles, such an impact has shown in the engine speed of about the same value. It is probably a result of turbocharger's control management since the differences were measured predominantly in the area of engine speed that is outside the turbocharger's stronger effect [48]. The differences of 9 Nm relating to the first vehicle and 13 Nm relating to the second vehicle are relatively small, also due to the fact that the differences were measured in the short extent of engine speed.…”

Study on Performance of Locomotive Diesel Engine Fueled with Biodiesel Using Two Miller Cycle Technologies

“…According to the calculation formula of enthalpy and the calculation formula of specific constant pressure heat capacity c p 0 = dh dT [35], the approximate value of the enthalpy fitting coefficient of biodiesel can be deduced.…”

Optimization Analysis of Locomotive Diesel Engine Intake System Based on Matlab-Simulink and GT-Power

“…Kang et al [32] used a diesel particulate filter with intake and exhaust throttling to increase the piston pumping, thus optimizing the intake system. Similarly, Cheng et al [33] widely installed variable geometry turbochargers and exhaust gas recirculation valves on diesel engines to optimize intake airflow control and exhaust gas recirculation ratio. Li et al [34] investigated smart charge compression ignition, a new dual-fuel combustion mode, by optimizing the intake pressure and thus the intake system.…”