Control of electromotive drive in forklift using adaptive fuzzy-neural network
The analysis and comparison of two virtual models with VE electric drive. The first model uses a PI controller with fuzzy logic to use the third control law VE. The second evaluation was applied by means of the speed based on artificial neural network (ANN). For the third control law in VE an adaptive mechanism was used, it is based on comparative models - regulators based on adaptive fuzzy neural network (AFNM) and ANN in the drive with synchronous machine with permanent magnets (SMPM). Performance indicators were analyzed in different states: constant, variable, transition, etc... From finale results the better system was chosen.