Fuzzy logic and genetic algorithm technique for non-liner system of overhead crane
Yury N. Petrenko, Seyed Enayatollah Alavi · 2010
This paper presents an improved fuzzy logic controller technique parameters estimation, based on genetic algorithm. It is kwon, that fuzzy control rules for a control system is always built by designers with trial and error and based on their experience on some preliminary experiments. We use a genetic algorithm (GA) based methods to generate a satisfactory fuzzy rule base spontaneously. The proposed method with GA produces a fuzzy rules base with smaller number of rules and given proper location of the consequent singletons. Digital simulation results are provided for a control system of overhead crane.