An ANFIS solution for Real-time control of the EGR&VGT in a diesel engine

An ANFIS (Adaptive neuro-fuzzy inference system) controller which bases on Takagi-Sugeno’s method and combines the advantages of neural controller and fuzzy multi-variable controller has been studied and developed for the real-time control of EGR and VGT in a diesel engine. In the AVL-BOOST and Matlab/Simulink co-simulation environment, the control performance of ANFIS controller has been compared with those optimal control strategies based on a fuzzy logic controller. Results show the new controller can have more active control to EGR position and the optimal emission levels can be maintained.