Management of Automotive Engine Based on Stable Fuzzy Technique With Parallel Sliding Mode Optimization
The Internal Combustion (IC) engine is designed to produce power from the energy that is contained in its fuel. More specifically, its fuel contains chemical energy and together with air, this mixture is burned to output mechanical power. Both fuzzy logic and sliding mode can compensate the steady-state error of Proportional-Derivative (PD) method. This paper presents parallel sliding mode optimization for fuzzy PD management. The asymptotic stability of fuzzy PD management with first-order sliding mode optimization in the parallel structure is proven. For the parallel structure, the finite time convergence with a super-twisting second-order sliding-mode is guaranteed.