Fuzzy logic control for a parallel hybrid hydraulic excavator using genetic algorithm

In this paper, fuzzy logic control is put forward in a parallel hybrid hydraulic excavator for the purposes of better energy distribution and higher fuel economy. A mathematical model of parallel hybrid hydraulic excavator is presented in detail, and the parameters of components and overall system are listed and analyzed. The fuzzy logic controller is then designed to cope with energy distribution and management. To achieve better equivalent fuel consumption, genetic algorithm is implemented to fine-tune the membership functions. The control effects are compared between different control strategies, e.g. rule-based control and fine-tuned fuzzy logic control. The results indicate that hybrids with the proposed strategy can improve fuel economy for the excavator without sacrificing any system performance.