Management of Automotive Engine Based on Stable Fuzzy Technique with Parallel Sliding Mode Optimization
Farzin Piltan
Mansour Bazregar
Mehdi Akbari
Mojdeh Piran
International Journal of Advances in Applied Sciences
Abstract
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.
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